R Under development (unstable) (2025-10-28 r88973 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(EvenBetterRegression) > > test_check("EvenBetterRegression") [1] "Iteration 1 of 1000:" [1] 0.9880845 [1] "Iteration 2 of 1000:" [1] 0.9875308 [1] "Iteration 3 of 1000:" [1] 0.9870739 [1] "Iteration 4 of 1000:" [1] 0.9847259 [1] "Iteration 5 of 1000:" [1] 0.9858082 [1] "Iteration 6 of 1000:" [1] 0.9876167 [1] "Iteration 7 of 1000:" [1] 0.9873494 [1] "Iteration 8 of 1000:" [1] 0.9872479 [1] "Iteration 9 of 1000:" [1] 0.9863161 [1] "Iteration 10 of 1000:" [1] 0.9874698 [1] "Iteration 11 of 1000:" [1] 0.9858205 [1] "Iteration 12 of 1000:" [1] 0.9875609 [1] "Iteration 13 of 1000:" [1] 0.9875045 [1] "Iteration 14 of 1000:" [1] 0.9856431 [1] "Iteration 15 of 1000:" [1] 0.988167 [1] "Iteration 16 of 1000:" [1] 0.9873314 [1] "Iteration 17 of 1000:" [1] 0.985931 [1] "Iteration 18 of 1000:" [1] 0.9878198 [1] "Iteration 19 of 1000:" [1] 0.9873412 [1] "Iteration 20 of 1000:" [1] 0.9877769 [1] "Iteration 21 of 1000:" [1] 0.9877771 [1] "Iteration 22 of 1000:" [1] 0.9860145 [1] "Iteration 23 of 1000:" [1] 0.9862926 [1] "Iteration 24 of 1000:" [1] 0.9863579 [1] "Iteration 25 of 1000:" [1] 0.9873622 [1] "Iteration 26 of 1000:" [1] 0.9854797 [1] "Iteration 27 of 1000:" [1] 0.987651 [1] "Iteration 28 of 1000:" [1] 0.986343 [1] "Iteration 29 of 1000:" [1] 0.9880458 [1] "Iteration 30 of 1000:" [1] 0.9869169 [1] "Iteration 31 of 1000:" [1] 0.9867403 [1] "Iteration 32 of 1000:" [1] 0.9856046 [1] "Iteration 33 of 1000:" [1] 0.9849484 [1] "Iteration 34 of 1000:" [1] 0.9854738 [1] "Iteration 35 of 1000:" [1] 0.9876181 [1] "Iteration 36 of 1000:" [1] 0.9861987 [1] "Iteration 37 of 1000:" [1] 0.9886953 [1] "Iteration 38 of 1000:" [1] 0.9854559 [1] "Iteration 39 of 1000:" [1] 0.9875056 [1] "Iteration 40 of 1000:" [1] 0.9844474 [1] "Iteration 41 of 1000:" [1] 0.9854203 [1] "Iteration 42 of 1000:" [1] 0.9859575 [1] "Iteration 43 of 1000:" [1] 0.9861362 [1] "Iteration 44 of 1000:" [1] 0.9866918 [1] "Iteration 45 of 1000:" [1] 0.9874467 [1] "Iteration 46 of 1000:" [1] 0.9863482 [1] "Iteration 47 of 1000:" [1] 0.9876971 [1] "Iteration 48 of 1000:" [1] 0.9854866 [1] "Iteration 49 of 1000:" [1] 0.9882832 [1] "Iteration 50 of 1000:" [1] 0.9849021 [1] "Iteration 51 of 1000:" [1] 0.9869148 [1] "Iteration 52 of 1000:" [1] 0.9858483 [1] "Iteration 53 of 1000:" [1] 0.9858144 [1] "Iteration 54 of 1000:" [1] 0.9881724 [1] "Iteration 55 of 1000:" [1] 0.9880836 [1] "Iteration 56 of 1000:" [1] 0.9864038 [1] "Iteration 57 of 1000:" [1] 0.9850938 [1] "Iteration 58 of 1000:" [1] 0.9872094 [1] "Iteration 59 of 1000:" [1] 0.98758 [1] "Iteration 60 of 1000:" [1] 0.9873387 [1] "Iteration 61 of 1000:" [1] 0.984897 [1] "Iteration 62 of 1000:" [1] 0.9876507 [1] "Iteration 63 of 1000:" [1] 0.9860814 [1] "Iteration 64 of 1000:" [1] 0.9882707 [1] "Iteration 65 of 1000:" [1] 0.9876751 [1] "Iteration 66 of 1000:" [1] 0.9879171 [1] "Iteration 67 of 1000:" [1] 0.9873092 [1] "Iteration 68 of 1000:" [1] 0.9863412 [1] "Iteration 69 of 1000:" [1] 0.9877481 [1] "Iteration 70 of 1000:" [1] 0.9859404 [1] "Iteration 71 of 1000:" [1] 0.9857709 [1] "Iteration 72 of 1000:" [1] 0.9849813 [1] "Iteration 73 of 1000:" [1] 0.9848413 [1] "Iteration 74 of 1000:" [1] 0.987679 [1] "Iteration 75 of 1000:" [1] 0.9856073 [1] "Iteration 76 of 1000:" [1] 0.9875719 [1] "Iteration 77 of 1000:" [1] 0.9862673 [1] "Iteration 78 of 1000:" [1] 0.9886107 [1] "Iteration 79 of 1000:" [1] 0.9851012 [1] "Iteration 80 of 1000:" [1] 0.986614 [1] "Iteration 81 of 1000:" [1] 0.9874886 [1] "Iteration 82 of 1000:" [1] 0.9868187 [1] "Iteration 83 of 1000:" [1] 0.9872577 [1] "Iteration 84 of 1000:" [1] 0.988949 [1] "Iteration 85 of 1000:" [1] 0.9854552 [1] "Iteration 86 of 1000:" [1] 0.9882235 [1] "Iteration 87 of 1000:" [1] 0.9850143 [1] "Iteration 88 of 1000:" [1] 0.9863011 [1] "Iteration 89 of 1000:" [1] 0.9860249 [1] "Iteration 90 of 1000:" [1] 0.9877937 [1] "Iteration 91 of 1000:" [1] 0.9860459 [1] "Iteration 92 of 1000:" [1] 0.9856307 [1] "Iteration 93 of 1000:" [1] 0.9862015 [1] "Iteration 94 of 1000:" [1] 0.9875991 [1] "Iteration 95 of 1000:" [1] 0.9866012 [1] "Iteration 96 of 1000:" [1] 0.9881404 [1] "Iteration 97 of 1000:" [1] 0.9875577 [1] "Iteration 98 of 1000:" [1] 0.9851414 [1] "Iteration 99 of 1000:" [1] 0.9860139 [1] "Iteration 100 of 1000:" [1] 0.9865798 [1] "Iteration 101 of 1000:" [1] 0.9856214 [1] "Iteration 102 of 1000:" [1] 0.9874095 [1] "Iteration 103 of 1000:" [1] 0.9854902 [1] "Iteration 104 of 1000:" [1] 0.9852687 [1] "Iteration 105 of 1000:" [1] 0.9858789 [1] "Iteration 106 of 1000:" [1] 0.98531 [1] "Iteration 107 of 1000:" [1] 0.9858621 [1] "Iteration 108 of 1000:" [1] 0.9865005 [1] "Iteration 109 of 1000:" [1] 0.9876373 [1] "Iteration 110 of 1000:" [1] 0.9876078 [1] "Iteration 111 of 1000:" [1] 0.9859791 [1] "Iteration 112 of 1000:" [1] 0.9875594 [1] "Iteration 113 of 1000:" [1] 0.9871756 [1] "Iteration 114 of 1000:" [1] 0.9849481 [1] "Iteration 115 of 1000:" [1] 0.9883286 [1] "Iteration 116 of 1000:" [1] 0.9856452 [1] "Iteration 117 of 1000:" [1] 0.9846921 [1] "Iteration 118 of 1000:" [1] 0.9851745 [1] "Iteration 119 of 1000:" [1] 0.9848855 [1] "Iteration 120 of 1000:" [1] 0.9869432 [1] "Iteration 121 of 1000:" [1] 0.9883286 [1] "Iteration 122 of 1000:" [1] 0.9859663 [1] "Iteration 123 of 1000:" [1] 0.9848889 [1] "Iteration 124 of 1000:" [1] 0.985487 [1] "Iteration 125 of 1000:" [1] 0.9878371 [1] "Iteration 126 of 1000:" [1] 0.9855414 [1] "Iteration 127 of 1000:" [1] 0.9853332 [1] "Iteration 128 of 1000:" [1] 0.9866309 [1] "Iteration 129 of 1000:" [1] 0.9857676 [1] "Iteration 130 of 1000:" [1] 0.9872174 [1] "Iteration 131 of 1000:" [1] 0.9852904 [1] "Iteration 132 of 1000:" [1] 0.985597 [1] "Iteration 133 of 1000:" [1] 0.9844077 [1] "Iteration 134 of 1000:" [1] 0.9856969 [1] "Iteration 135 of 1000:" [1] 0.9865976 [1] "Iteration 136 of 1000:" [1] 0.9863621 [1] "Iteration 137 of 1000:" [1] 0.9876046 [1] "Iteration 138 of 1000:" [1] 0.9865923 [1] "Iteration 139 of 1000:" [1] 0.9863721 [1] "Iteration 140 of 1000:" [1] 0.9856834 [1] "Iteration 141 of 1000:" [1] 0.9878628 [1] "Iteration 142 of 1000:" [1] 0.9875552 [1] "Iteration 143 of 1000:" [1] 0.9871571 [1] "Iteration 144 of 1000:" [1] 0.9874569 [1] "Iteration 145 of 1000:" [1] 0.9886153 [1] "Iteration 146 of 1000:" [1] 0.9872188 [1] "Iteration 147 of 1000:" [1] 0.9851819 [1] "Iteration 148 of 1000:" [1] 0.9874533 [1] "Iteration 149 of 1000:" [1] 0.9850591 [1] "Iteration 150 of 1000:" [1] 0.9878284 [1] "Iteration 151 of 1000:" [1] 0.9876835 [1] "Iteration 152 of 1000:" [1] 0.9882324 [1] "Iteration 153 of 1000:" [1] 0.9862216 [1] "Iteration 154 of 1000:" [1] 0.9881935 [1] "Iteration 155 of 1000:" [1] 0.9874019 [1] "Iteration 156 of 1000:" [1] 0.9873577 [1] "Iteration 157 of 1000:" [1] 0.9851766 [1] "Iteration 158 of 1000:" [1] 0.9853401 [1] "Iteration 159 of 1000:" [1] 0.9850781 [1] "Iteration 160 of 1000:" [1] 0.9883176 [1] "Iteration 161 of 1000:" [1] 0.9876361 [1] "Iteration 162 of 1000:" [1] 0.9870641 [1] "Iteration 163 of 1000:" [1] 0.9852454 [1] "Iteration 164 of 1000:" [1] 0.9876875 [1] "Iteration 165 of 1000:" [1] 0.986934 [1] "Iteration 166 of 1000:" [1] 0.9870621 [1] "Iteration 167 of 1000:" [1] 0.9852176 [1] "Iteration 168 of 1000:" [1] 0.9861079 [1] "Iteration 169 of 1000:" [1] 0.9851716 [1] "Iteration 170 of 1000:" [1] 0.985024 [1] "Iteration 171 of 1000:" [1] 0.9869879 [1] "Iteration 172 of 1000:" [1] 0.9855356 [1] "Iteration 173 of 1000:" [1] 0.9872468 [1] "Iteration 174 of 1000:" [1] 0.9869605 [1] "Iteration 175 of 1000:" [1] 0.9866477 [1] "Iteration 176 of 1000:" [1] 0.9877203 [1] "Iteration 177 of 1000:" [1] 0.9880423 [1] "Iteration 178 of 1000:" [1] 0.983106 [1] "Iteration 179 of 1000:" [1] 0.988124 [1] "Iteration 180 of 1000:" [1] 0.9861041 [1] "Iteration 181 of 1000:" [1] 0.9882323 [1] "Iteration 182 of 1000:" [1] 0.9866622 [1] "Iteration 183 of 1000:" [1] 0.9869883 [1] "Iteration 184 of 1000:" [1] 0.9877781 [1] "Iteration 185 of 1000:" [1] 0.9860142 [1] "Iteration 186 of 1000:" [1] 0.9876645 [1] "Iteration 187 of 1000:" [1] 0.9857311 [1] "Iteration 188 of 1000:" [1] 0.9858359 [1] "Iteration 189 of 1000:" [1] 0.9859145 [1] "Iteration 190 of 1000:" [1] 0.9855752 [1] "Iteration 191 of 1000:" [1] 0.9852688 [1] "Iteration 192 of 1000:" [1] 0.9855091 [1] "Iteration 193 of 1000:" [1] 0.9881079 [1] "Iteration 194 of 1000:" [1] 0.9859891 [1] "Iteration 195 of 1000:" [1] 0.9862466 [1] "Iteration 196 of 1000:" [1] 0.9877197 [1] "Iteration 197 of 1000:" [1] 0.9861109 [1] "Iteration 198 of 1000:" [1] 0.9850145 [1] "Iteration 199 of 1000:" [1] 0.9862139 [1] "Iteration 200 of 1000:" [1] 0.9861724 [1] "Iteration 201 of 1000:" [1] 0.9856297 [1] "Iteration 202 of 1000:" [1] 0.9881936 [1] "Iteration 203 of 1000:" [1] 0.9874086 [1] "Iteration 204 of 1000:" [1] 0.9849614 [1] "Iteration 205 of 1000:" [1] 0.9849552 [1] "Iteration 206 of 1000:" [1] 0.9874714 [1] "Iteration 207 of 1000:" [1] 0.986378 [1] "Iteration 208 of 1000:" [1] 0.9865099 [1] "Iteration 209 of 1000:" [1] 0.9882006 [1] "Iteration 210 of 1000:" [1] 0.9862694 [1] "Iteration 211 of 1000:" [1] 0.9884302 [1] "Iteration 212 of 1000:" [1] 0.9850188 [1] "Iteration 213 of 1000:" [1] 0.9841838 [1] "Iteration 214 of 1000:" [1] 0.9870367 [1] "Iteration 215 of 1000:" [1] 0.985899 [1] "Iteration 216 of 1000:" [1] 0.9860496 [1] "Iteration 217 of 1000:" [1] 0.9872871 [1] "Iteration 218 of 1000:" [1] 0.987346 [1] "Iteration 219 of 1000:" [1] 0.9855227 [1] "Iteration 220 of 1000:" [1] 0.9852182 [1] "Iteration 221 of 1000:" [1] 0.986901 [1] "Iteration 222 of 1000:" [1] 0.9875948 [1] "Iteration 223 of 1000:" [1] 0.9861672 [1] "Iteration 224 of 1000:" [1] 0.9857178 [1] "Iteration 225 of 1000:" [1] 0.9880748 [1] "Iteration 226 of 1000:" [1] 0.9873418 [1] "Iteration 227 of 1000:" [1] 0.9857188 [1] "Iteration 228 of 1000:" [1] 0.9875651 [1] "Iteration 229 of 1000:" [1] 0.9875231 [1] "Iteration 230 of 1000:" [1] 0.9883071 [1] "Iteration 231 of 1000:" [1] 0.9849992 [1] "Iteration 232 of 1000:" [1] 0.9850685 [1] "Iteration 233 of 1000:" [1] 0.9857144 [1] "Iteration 234 of 1000:" [1] 0.9856238 [1] "Iteration 235 of 1000:" [1] 0.9874314 [1] "Iteration 236 of 1000:" [1] 0.9864024 [1] "Iteration 237 of 1000:" [1] 0.9860553 [1] "Iteration 238 of 1000:" [1] 0.9863626 [1] "Iteration 239 of 1000:" [1] 0.9832675 [1] "Iteration 240 of 1000:" [1] 0.9886514 [1] "Iteration 241 of 1000:" [1] 0.9854298 [1] "Iteration 242 of 1000:" [1] 0.9851882 [1] "Iteration 243 of 1000:" [1] 0.9879222 [1] "Iteration 244 of 1000:" [1] 0.9861957 [1] "Iteration 245 of 1000:" [1] 0.9877389 [1] "Iteration 246 of 1000:" [1] 0.9859872 [1] "Iteration 247 of 1000:" [1] 0.9862769 [1] "Iteration 248 of 1000:" [1] 0.9877252 [1] "Iteration 249 of 1000:" [1] 0.9871878 [1] "Iteration 250 of 1000:" [1] 0.9875122 [1] "Iteration 251 of 1000:" [1] 0.9874336 [1] "Iteration 252 of 1000:" [1] 0.9855264 [1] "Iteration 253 of 1000:" [1] 0.9872413 [1] "Iteration 254 of 1000:" [1] 0.9885961 [1] "Iteration 255 of 1000:" [1] 0.9875919 [1] "Iteration 256 of 1000:" [1] 0.9855729 [1] "Iteration 257 of 1000:" [1] 0.9859033 [1] "Iteration 258 of 1000:" [1] 0.9866082 [1] "Iteration 259 of 1000:" [1] 0.9859028 [1] "Iteration 260 of 1000:" [1] 0.9876343 [1] "Iteration 261 of 1000:" [1] 0.9867087 [1] "Iteration 262 of 1000:" [1] 0.9878608 [1] "Iteration 263 of 1000:" [1] 0.9861149 [1] "Iteration 264 of 1000:" [1] 0.9875832 [1] "Iteration 265 of 1000:" [1] 0.9863841 [1] "Iteration 266 of 1000:" [1] 0.9853052 [1] "Iteration 267 of 1000:" [1] 0.9870084 [1] "Iteration 268 of 1000:" [1] 0.985887 [1] "Iteration 269 of 1000:" [1] 0.9848034 [1] "Iteration 270 of 1000:" [1] 0.9878808 [1] "Iteration 271 of 1000:" [1] 0.9844256 [1] "Iteration 272 of 1000:" [1] 0.987783 [1] "Iteration 273 of 1000:" [1] 0.9879588 [1] "Iteration 274 of 1000:" [1] 0.9879869 [1] "Iteration 275 of 1000:" [1] 0.9865589 [1] "Iteration 276 of 1000:" [1] 0.9857841 [1] "Iteration 277 of 1000:" [1] 0.9881835 [1] "Iteration 278 of 1000:" [1] 0.9856605 [1] "Iteration 279 of 1000:" [1] 0.987961 [1] "Iteration 280 of 1000:" [1] 0.9865019 [1] "Iteration 281 of 1000:" [1] 0.9853917 [1] "Iteration 282 of 1000:" [1] 0.9865615 [1] "Iteration 283 of 1000:" [1] 0.9877296 [1] "Iteration 284 of 1000:" [1] 0.9871227 [1] "Iteration 285 of 1000:" [1] 0.9861969 [1] "Iteration 286 of 1000:" [1] 0.9861615 [1] "Iteration 287 of 1000:" [1] 0.9830458 [1] "Iteration 288 of 1000:" [1] 0.9849839 [1] "Iteration 289 of 1000:" [1] 0.984833 [1] "Iteration 290 of 1000:" [1] 0.9875815 [1] "Iteration 291 of 1000:" [1] 0.9858221 [1] "Iteration 292 of 1000:" [1] 0.9882033 [1] "Iteration 293 of 1000:" [1] 0.9888807 [1] "Iteration 294 of 1000:" [1] 0.9873459 [1] "Iteration 295 of 1000:" [1] 0.9881326 [1] "Iteration 296 of 1000:" [1] 0.9881301 [1] "Iteration 297 of 1000:" [1] 0.9859371 [1] "Iteration 298 of 1000:" [1] 0.9859283 [1] "Iteration 299 of 1000:" [1] 0.985819 [1] "Iteration 300 of 1000:" [1] 0.9857018 [1] "Iteration 301 of 1000:" [1] 0.9876722 [1] "Iteration 302 of 1000:" [1] 0.9873885 [1] "Iteration 303 of 1000:" [1] 0.9856359 [1] "Iteration 304 of 1000:" [1] 0.9879466 [1] "Iteration 305 of 1000:" [1] 0.988083 [1] "Iteration 306 of 1000:" [1] 0.987488 [1] "Iteration 307 of 1000:" [1] 0.9871097 [1] "Iteration 308 of 1000:" [1] 0.9869755 [1] "Iteration 309 of 1000:" [1] 0.9879502 [1] "Iteration 310 of 1000:" [1] 0.9853187 [1] "Iteration 311 of 1000:" [1] 0.9880036 [1] "Iteration 312 of 1000:" [1] 0.9847648 [1] "Iteration 313 of 1000:" [1] 0.9875779 [1] "Iteration 314 of 1000:" [1] 0.9877793 [1] "Iteration 315 of 1000:" [1] 0.985904 [1] "Iteration 316 of 1000:" [1] 0.9844077 [1] "Iteration 317 of 1000:" [1] 0.9865344 [1] "Iteration 318 of 1000:" [1] 0.986438 [1] "Iteration 319 of 1000:" [1] 0.9866527 [1] "Iteration 320 of 1000:" [1] 0.9888463 [1] "Iteration 321 of 1000:" [1] 0.985587 [1] "Iteration 322 of 1000:" [1] 0.9882151 [1] "Iteration 323 of 1000:" [1] 0.9873354 [1] "Iteration 324 of 1000:" [1] 0.98741 [1] "Iteration 325 of 1000:" [1] 0.9880979 [1] "Iteration 326 of 1000:" [1] 0.9855361 [1] "Iteration 327 of 1000:" [1] 0.9876828 [1] "Iteration 328 of 1000:" [1] 0.9875774 [1] "Iteration 329 of 1000:" [1] 0.985091 [1] "Iteration 330 of 1000:" [1] 0.9850493 [1] "Iteration 331 of 1000:" [1] 0.9889702 [1] "Iteration 332 of 1000:" [1] 0.9873092 [1] "Iteration 333 of 1000:" [1] 0.9861767 [1] "Iteration 334 of 1000:" [1] 0.9865243 [1] "Iteration 335 of 1000:" [1] 0.9854733 [1] "Iteration 336 of 1000:" [1] 0.9844474 [1] "Iteration 337 of 1000:" [1] 0.9877611 [1] "Iteration 338 of 1000:" [1] 0.9876416 [1] "Iteration 339 of 1000:" [1] 0.9854498 [1] "Iteration 340 of 1000:" [1] 0.9872559 [1] "Iteration 341 of 1000:" [1] 0.9877266 [1] "Iteration 342 of 1000:" [1] 0.9880032 [1] "Iteration 343 of 1000:" [1] 0.9875421 [1] "Iteration 344 of 1000:" [1] 0.9860587 [1] "Iteration 345 of 1000:" [1] 0.9877077 [1] "Iteration 346 of 1000:" [1] 0.9874685 [1] "Iteration 347 of 1000:" [1] 0.9865512 [1] "Iteration 348 of 1000:" [1] 0.9883471 [1] "Iteration 349 of 1000:" [1] 0.9882388 [1] "Iteration 350 of 1000:" [1] 0.9856868 [1] "Iteration 351 of 1000:" [1] 0.9859095 [1] "Iteration 352 of 1000:" [1] 0.9863207 [1] "Iteration 353 of 1000:" [1] 0.9878351 [1] "Iteration 354 of 1000:" [1] 0.9860307 [1] "Iteration 355 of 1000:" [1] 0.9860194 [1] "Iteration 356 of 1000:" [1] 0.9859846 [1] "Iteration 357 of 1000:" [1] 0.985269 [1] "Iteration 358 of 1000:" [1] 0.9874106 [1] "Iteration 359 of 1000:" [1] 0.9859243 [1] "Iteration 360 of 1000:" [1] 0.9854779 [1] "Iteration 361 of 1000:" [1] 0.9878881 [1] "Iteration 362 of 1000:" [1] 0.9878542 [1] "Iteration 363 of 1000:" [1] 0.9878501 [1] "Iteration 364 of 1000:" [1] 0.9875265 [1] "Iteration 365 of 1000:" [1] 0.9857906 [1] "Iteration 366 of 1000:" [1] 0.9866065 [1] "Iteration 367 of 1000:" [1] 0.9883647 [1] "Iteration 368 of 1000:" [1] 0.9870367 [1] "Iteration 369 of 1000:" [1] 0.9860302 [1] "Iteration 370 of 1000:" [1] 0.9844301 [1] "Iteration 371 of 1000:" [1] 0.9875199 [1] "Iteration 372 of 1000:" [1] 0.9857878 [1] "Iteration 373 of 1000:" [1] 0.9880366 [1] "Iteration 374 of 1000:" [1] 0.9849188 [1] "Iteration 375 of 1000:" [1] 0.9878176 [1] "Iteration 376 of 1000:" [1] 0.9854981 [1] "Iteration 377 of 1000:" [1] 0.986158 [1] "Iteration 378 of 1000:" [1] 0.9865331 [1] "Iteration 379 of 1000:" [1] 0.9848595 [1] "Iteration 380 of 1000:" [1] 0.9879718 [1] "Iteration 381 of 1000:" [1] 0.987278 [1] "Iteration 382 of 1000:" [1] 0.9863547 [1] "Iteration 383 of 1000:" [1] 0.9901083 [1] "Iteration 384 of 1000:" [1] 0.9851809 [1] "Iteration 385 of 1000:" [1] 0.986889 [1] "Iteration 386 of 1000:" [1] 0.9880127 [1] "Iteration 387 of 1000:" [1] 0.9878358 [1] "Iteration 388 of 1000:" [1] 0.9878357 [1] "Iteration 389 of 1000:" [1] 0.9855774 [1] "Iteration 390 of 1000:" [1] 0.9873915 [1] "Iteration 391 of 1000:" [1] 0.987386 [1] "Iteration 392 of 1000:" [1] 0.9880288 [1] "Iteration 393 of 1000:" [1] 0.9851995 [1] "Iteration 394 of 1000:" [1] 0.987474 [1] "Iteration 395 of 1000:" [1] 0.9876974 [1] "Iteration 396 of 1000:" [1] 0.9882163 [1] "Iteration 397 of 1000:" [1] 0.9882991 [1] "Iteration 398 of 1000:" [1] 0.9859338 [1] "Iteration 399 of 1000:" [1] 0.9853089 [1] "Iteration 400 of 1000:" [1] 0.9873514 [1] "Iteration 401 of 1000:" [1] 0.9870222 [1] "Iteration 402 of 1000:" [1] 0.9885995 [1] "Iteration 403 of 1000:" [1] 0.9874562 [1] "Iteration 404 of 1000:" [1] 0.9885092 [1] "Iteration 405 of 1000:" [1] 0.9856292 [1] "Iteration 406 of 1000:" [1] 0.9877805 [1] "Iteration 407 of 1000:" [1] 0.9886557 [1] "Iteration 408 of 1000:" [1] 0.987324 [1] "Iteration 409 of 1000:" [1] 0.9877324 [1] "Iteration 410 of 1000:" [1] 0.9847968 [1] "Iteration 411 of 1000:" [1] 0.9877537 [1] "Iteration 412 of 1000:" [1] 0.9880039 [1] "Iteration 413 of 1000:" [1] 0.987738 [1] "Iteration 414 of 1000:" [1] 0.9828874 [1] "Iteration 415 of 1000:" [1] 0.98564 [1] "Iteration 416 of 1000:" [1] 0.987662 [1] "Iteration 417 of 1000:" [1] 0.9872684 [1] "Iteration 418 of 1000:" [1] 0.9855882 [1] "Iteration 419 of 1000:" [1] 0.9881337 [1] "Iteration 420 of 1000:" [1] 0.9877115 [1] "Iteration 421 of 1000:" [1] 0.988178 [1] "Iteration 422 of 1000:" [1] 0.9862299 [1] "Iteration 423 of 1000:" [1] 0.9865037 [1] "Iteration 424 of 1000:" [1] 0.9865607 [1] "Iteration 425 of 1000:" [1] 0.9859913 [1] "Iteration 426 of 1000:" [1] 0.9865141 [1] "Iteration 427 of 1000:" [1] 0.9859145 [1] "Iteration 428 of 1000:" [1] 0.9877964 [1] "Iteration 429 of 1000:" [1] 0.9840274 [1] "Iteration 430 of 1000:" [1] 0.9850681 [1] "Iteration 431 of 1000:" [1] 0.9853268 [1] "Iteration 432 of 1000:" [1] 0.9850606 [1] "Iteration 433 of 1000:" [1] 0.9870334 [1] "Iteration 434 of 1000:" [1] 0.9861569 [1] "Iteration 435 of 1000:" [1] 0.9869517 [1] "Iteration 436 of 1000:" [1] 0.9893289 [1] "Iteration 437 of 1000:" [1] 0.9883171 [1] "Iteration 438 of 1000:" [1] 0.985865 [1] "Iteration 439 of 1000:" [1] 0.9865996 [1] "Iteration 440 of 1000:" [1] 0.9866748 [1] "Iteration 441 of 1000:" [1] 0.9879111 [1] "Iteration 442 of 1000:" [1] 0.9856589 [1] "Iteration 443 of 1000:" [1] 0.9845596 [1] "Iteration 444 of 1000:" [1] 0.9877869 [1] "Iteration 445 of 1000:" [1] 0.9878348 [1] "Iteration 446 of 1000:" [1] 0.9851021 [1] "Iteration 447 of 1000:" [1] 0.9862887 [1] "Iteration 448 of 1000:" [1] 0.9873768 [1] "Iteration 449 of 1000:" [1] 0.9868468 [1] "Iteration 450 of 1000:" [1] 0.9855872 [1] "Iteration 451 of 1000:" [1] 0.9872936 [1] "Iteration 452 of 1000:" [1] 0.9854507 [1] "Iteration 453 of 1000:" [1] 0.9878155 [1] "Iteration 454 of 1000:" [1] 0.9856092 [1] "Iteration 455 of 1000:" [1] 0.9859284 [1] "Iteration 456 of 1000:" [1] 0.9876398 [1] "Iteration 457 of 1000:" [1] 0.9874333 [1] "Iteration 458 of 1000:" [1] 0.9846503 [1] "Iteration 459 of 1000:" [1] 0.9878137 [1] "Iteration 460 of 1000:" [1] 0.98407 [1] "Iteration 461 of 1000:" [1] 0.9884095 [1] "Iteration 462 of 1000:" [1] 0.98524 [1] "Iteration 463 of 1000:" [1] 0.9876687 [1] "Iteration 464 of 1000:" [1] 0.9831717 [1] "Iteration 465 of 1000:" [1] 0.9871584 [1] "Iteration 466 of 1000:" [1] 0.9857273 [1] "Iteration 467 of 1000:" [1] 0.9856481 [1] "Iteration 468 of 1000:" [1] 0.98667 [1] "Iteration 469 of 1000:" [1] 0.988133 [1] "Iteration 470 of 1000:" [1] 0.9857826 [1] "Iteration 471 of 1000:" [1] 0.9862808 [1] "Iteration 472 of 1000:" [1] 0.986362 [1] "Iteration 473 of 1000:" [1] 0.9868497 [1] "Iteration 474 of 1000:" [1] 0.9867145 [1] "Iteration 475 of 1000:" [1] 0.9879533 [1] "Iteration 476 of 1000:" [1] 0.9854753 [1] "Iteration 477 of 1000:" [1] 0.9854486 [1] "Iteration 478 of 1000:" [1] 0.985744 [1] "Iteration 479 of 1000:" [1] 0.9844077 [1] "Iteration 480 of 1000:" [1] 0.9880708 [1] "Iteration 481 of 1000:" [1] 0.9873944 [1] "Iteration 482 of 1000:" [1] 0.9849963 [1] "Iteration 483 of 1000:" [1] 0.9858529 [1] "Iteration 484 of 1000:" [1] 0.9859349 [1] "Iteration 485 of 1000:" [1] 0.9855459 [1] "Iteration 486 of 1000:" [1] 0.9857057 [1] "Iteration 487 of 1000:" [1] 0.9875832 [1] "Iteration 488 of 1000:" [1] 0.9847267 [1] "Iteration 489 of 1000:" [1] 0.9858997 [1] "Iteration 490 of 1000:" [1] 0.9850145 [1] "Iteration 491 of 1000:" [1] 0.9845165 [1] "Iteration 492 of 1000:" [1] 0.986603 [1] "Iteration 493 of 1000:" [1] 0.9873622 [1] "Iteration 494 of 1000:" [1] 0.9877237 [1] "Iteration 495 of 1000:" [1] 0.9853262 [1] "Iteration 496 of 1000:" [1] 0.9865161 [1] "Iteration 497 of 1000:" [1] 0.9852678 [1] "Iteration 498 of 1000:" [1] 0.9870739 [1] "Iteration 499 of 1000:" [1] 0.9861122 [1] "Iteration 500 of 1000:" [1] 0.9868536 [1] "Iteration 501 of 1000:" [1] 0.9861417 [1] "Iteration 502 of 1000:" [1] 0.9870387 [1] "Iteration 503 of 1000:" [1] 0.9848168 [1] "Iteration 504 of 1000:" [1] 0.9884077 [1] "Iteration 505 of 1000:" [1] 0.9854616 [1] "Iteration 506 of 1000:" [1] 0.9876312 [1] "Iteration 507 of 1000:" [1] 0.9860724 [1] "Iteration 508 of 1000:" [1] 0.9883454 [1] "Iteration 509 of 1000:" [1] 0.9876991 [1] "Iteration 510 of 1000:" [1] 0.9859515 [1] "Iteration 511 of 1000:" [1] 0.9859288 [1] "Iteration 512 of 1000:" [1] 0.9864536 [1] "Iteration 513 of 1000:" [1] 0.9854307 [1] "Iteration 514 of 1000:" [1] 0.9872402 [1] "Iteration 515 of 1000:" [1] 0.9876601 [1] "Iteration 516 of 1000:" [1] 0.9866687 [1] "Iteration 517 of 1000:" [1] 0.9864017 [1] "Iteration 518 of 1000:" [1] 0.9883496 [1] "Iteration 519 of 1000:" [1] 0.9875102 [1] "Iteration 520 of 1000:" [1] 0.988093 [1] "Iteration 521 of 1000:" [1] 0.9853977 [1] "Iteration 522 of 1000:" [1] 0.9880926 [1] "Iteration 523 of 1000:" [1] 0.9867063 [1] "Iteration 524 of 1000:" [1] 0.9876673 [1] "Iteration 525 of 1000:" [1] 0.9863642 [1] "Iteration 526 of 1000:" [1] 0.9854475 [1] "Iteration 527 of 1000:" [1] 0.9878934 [1] "Iteration 528 of 1000:" [1] 0.9861973 [1] "Iteration 529 of 1000:" [1] 0.9877953 [1] "Iteration 530 of 1000:" [1] 0.9856498 [1] "Iteration 531 of 1000:" [1] 0.9849981 [1] "Iteration 532 of 1000:" [1] 0.9861185 [1] "Iteration 533 of 1000:" [1] 0.9871416 [1] "Iteration 534 of 1000:" [1] 0.9858813 [1] "Iteration 535 of 1000:" [1] 0.9858468 [1] "Iteration 536 of 1000:" [1] 0.9880383 [1] "Iteration 537 of 1000:" [1] 0.985488 [1] "Iteration 538 of 1000:" [1] 0.98706 [1] "Iteration 539 of 1000:" [1] 0.9843208 [1] "Iteration 540 of 1000:" [1] 0.9876437 [1] "Iteration 541 of 1000:" [1] 0.9862775 [1] "Iteration 542 of 1000:" [1] 0.9883327 [1] "Iteration 543 of 1000:" [1] 0.9856003 [1] "Iteration 544 of 1000:" [1] 0.9864472 [1] "Iteration 545 of 1000:" [1] 0.985782 [1] "Iteration 546 of 1000:" [1] 0.9856895 [1] "Iteration 547 of 1000:" [1] 0.9882533 [1] "Iteration 548 of 1000:" [1] 0.9888024 [1] "Iteration 549 of 1000:" [1] 0.9850438 [1] "Iteration 550 of 1000:" [1] 0.9866818 [1] "Iteration 551 of 1000:" [1] 0.9880078 [1] "Iteration 552 of 1000:" [1] 0.9852274 [1] "Iteration 553 of 1000:" [1] 0.9876018 [1] "Iteration 554 of 1000:" [1] 0.9880284 [1] "Iteration 555 of 1000:" [1] 0.9856469 [1] "Iteration 556 of 1000:" [1] 0.9860696 [1] "Iteration 557 of 1000:" [1] 0.9848548 [1] "Iteration 558 of 1000:" [1] 0.9858945 [1] "Iteration 559 of 1000:" [1] 0.9873858 [1] "Iteration 560 of 1000:" [1] 0.9864136 [1] "Iteration 561 of 1000:" [1] 0.9874427 [1] "Iteration 562 of 1000:" [1] 0.9876779 [1] "Iteration 563 of 1000:" [1] 0.9865525 [1] "Iteration 564 of 1000:" [1] 0.9878827 [1] "Iteration 565 of 1000:" [1] 0.9879904 [1] "Iteration 566 of 1000:" [1] 0.9873494 [1] "Iteration 567 of 1000:" [1] 0.9860377 [1] "Iteration 568 of 1000:" [1] 0.9869896 [1] "Iteration 569 of 1000:" [1] 0.9857309 [1] "Iteration 570 of 1000:" [1] 0.9864296 [1] "Iteration 571 of 1000:" [1] 0.9875214 [1] "Iteration 572 of 1000:" [1] 0.9854812 [1] "Iteration 573 of 1000:" [1] 0.9854763 [1] "Iteration 574 of 1000:" [1] 0.9890122 [1] "Iteration 575 of 1000:" [1] 0.9864788 [1] "Iteration 576 of 1000:" [1] 0.985725 [1] "Iteration 577 of 1000:" [1] 0.9860762 [1] "Iteration 578 of 1000:" [1] 0.9874401 [1] "Iteration 579 of 1000:" [1] 0.9846599 [1] "Iteration 580 of 1000:" [1] 0.9857232 [1] "Iteration 581 of 1000:" [1] 0.9869249 [1] "Iteration 582 of 1000:" [1] 0.9859259 [1] "Iteration 583 of 1000:" [1] 0.9866041 [1] "Iteration 584 of 1000:" [1] 0.9859594 [1] "Iteration 585 of 1000:" [1] 0.9874895 [1] "Iteration 586 of 1000:" [1] 0.9880712 [1] "Iteration 587 of 1000:" [1] 0.9852249 [1] "Iteration 588 of 1000:" [1] 0.9864411 [1] "Iteration 589 of 1000:" [1] 0.9873309 [1] "Iteration 590 of 1000:" [1] 0.9850478 [1] "Iteration 591 of 1000:" [1] 0.9854852 [1] "Iteration 592 of 1000:" [1] 0.9875514 [1] "Iteration 593 of 1000:" [1] 0.9860853 [1] "Iteration 594 of 1000:" [1] 0.9875124 [1] "Iteration 595 of 1000:" [1] 0.9851846 [1] "Iteration 596 of 1000:" [1] 0.9870656 [1] "Iteration 597 of 1000:" [1] 0.9866592 [1] "Iteration 598 of 1000:" [1] 0.9869031 [1] "Iteration 599 of 1000:" [1] 0.9873062 [1] "Iteration 600 of 1000:" [1] 0.9871482 [1] "Iteration 601 of 1000:" [1] 0.9876092 [1] "Iteration 602 of 1000:" [1] 0.9866653 [1] "Iteration 603 of 1000:" [1] 0.9878645 [1] "Iteration 604 of 1000:" [1] 0.9859765 [1] "Iteration 605 of 1000:" [1] 0.9868585 [1] "Iteration 606 of 1000:" [1] 0.9871635 [1] "Iteration 607 of 1000:" [1] 0.9853866 [1] "Iteration 608 of 1000:" [1] 0.985752 [1] "Iteration 609 of 1000:" [1] 0.9875767 [1] "Iteration 610 of 1000:" [1] 0.9885313 [1] "Iteration 611 of 1000:" [1] 0.9899403 [1] "Iteration 612 of 1000:" [1] 0.9876684 [1] "Iteration 613 of 1000:" [1] 0.987791 [1] "Iteration 614 of 1000:" [1] 0.987226 [1] "Iteration 615 of 1000:" [1] 0.9859711 [1] "Iteration 616 of 1000:" [1] 0.9862229 [1] "Iteration 617 of 1000:" [1] 0.9868108 [1] "Iteration 618 of 1000:" [1] 0.9885512 [1] "Iteration 619 of 1000:" [1] 0.9848958 [1] "Iteration 620 of 1000:" [1] 0.985021 [1] "Iteration 621 of 1000:" [1] 0.9893273 [1] "Iteration 622 of 1000:" [1] 0.9864107 [1] "Iteration 623 of 1000:" [1] 0.9881669 [1] "Iteration 624 of 1000:" [1] 0.9879319 [1] "Iteration 625 of 1000:" [1] 0.9873494 [1] "Iteration 626 of 1000:" [1] 0.9857793 [1] "Iteration 627 of 1000:" [1] 0.9853998 [1] "Iteration 628 of 1000:" [1] 0.9861159 [1] "Iteration 629 of 1000:" [1] 0.9872959 [1] "Iteration 630 of 1000:" [1] 0.9862567 [1] "Iteration 631 of 1000:" [1] 0.9859931 [1] "Iteration 632 of 1000:" [1] 0.9874626 [1] "Iteration 633 of 1000:" [1] 0.9855349 [1] "Iteration 634 of 1000:" [1] 0.9883589 [1] "Iteration 635 of 1000:" [1] 0.985036 [1] "Iteration 636 of 1000:" [1] 0.9854853 [1] "Iteration 637 of 1000:" [1] 0.9858709 [1] "Iteration 638 of 1000:" [1] 0.9850667 [1] "Iteration 639 of 1000:" [1] 0.9844147 [1] "Iteration 640 of 1000:" [1] 0.988271 [1] "Iteration 641 of 1000:" [1] 0.9852948 [1] "Iteration 642 of 1000:" [1] 0.9843275 [1] "Iteration 643 of 1000:" [1] 0.9871339 [1] "Iteration 644 of 1000:" [1] 0.9862009 [1] "Iteration 645 of 1000:" [1] 0.9862102 [1] "Iteration 646 of 1000:" [1] 0.985634 [1] "Iteration 647 of 1000:" [1] 0.9870608 [1] "Iteration 648 of 1000:" [1] 0.9862766 [1] "Iteration 649 of 1000:" [1] 0.9880203 [1] "Iteration 650 of 1000:" [1] 0.9867236 [1] "Iteration 651 of 1000:" [1] 0.9875053 [1] "Iteration 652 of 1000:" [1] 0.9874235 [1] "Iteration 653 of 1000:" [1] 0.9880814 [1] "Iteration 654 of 1000:" [1] 0.9842951 [1] "Iteration 655 of 1000:" [1] 0.9854514 [1] "Iteration 656 of 1000:" [1] 0.9882278 [1] "Iteration 657 of 1000:" [1] 0.9876106 [1] "Iteration 658 of 1000:" [1] 0.9854709 [1] "Iteration 659 of 1000:" [1] 0.9884566 [1] "Iteration 660 of 1000:" [1] 0.9860476 [1] "Iteration 661 of 1000:" [1] 0.9879718 [1] "Iteration 662 of 1000:" [1] 0.9874701 [1] "Iteration 663 of 1000:" [1] 0.9857097 [1] "Iteration 664 of 1000:" [1] 0.9894322 [1] "Iteration 665 of 1000:" [1] 0.9880758 [1] "Iteration 666 of 1000:" [1] 0.9851289 [1] "Iteration 667 of 1000:" [1] 0.9856055 [1] "Iteration 668 of 1000:" [1] 0.9880588 [1] "Iteration 669 of 1000:" [1] 0.9850833 [1] "Iteration 670 of 1000:" [1] 0.9873227 [1] "Iteration 671 of 1000:" [1] 0.9866376 [1] "Iteration 672 of 1000:" [1] 0.9879822 [1] "Iteration 673 of 1000:" [1] 0.9855351 [1] "Iteration 674 of 1000:" [1] 0.9853361 [1] "Iteration 675 of 1000:" [1] 0.9853775 [1] "Iteration 676 of 1000:" [1] 0.9877067 [1] "Iteration 677 of 1000:" [1] 0.9876828 [1] "Iteration 678 of 1000:" [1] 0.9851009 [1] "Iteration 679 of 1000:" [1] 0.984744 [1] "Iteration 680 of 1000:" [1] 0.9862657 [1] "Iteration 681 of 1000:" [1] 0.9872649 [1] "Iteration 682 of 1000:" [1] 0.986915 [1] "Iteration 683 of 1000:" [1] 0.985571 [1] "Iteration 684 of 1000:" [1] 0.9855954 [1] "Iteration 685 of 1000:" [1] 0.9879425 [1] "Iteration 686 of 1000:" [1] 0.9859967 [1] "Iteration 687 of 1000:" [1] 0.987316 [1] "Iteration 688 of 1000:" [1] 0.9855153 [1] "Iteration 689 of 1000:" [1] 0.9876936 [1] "Iteration 690 of 1000:" [1] 0.9878124 [1] "Iteration 691 of 1000:" [1] 0.9854537 [1] "Iteration 692 of 1000:" [1] 0.9857821 [1] "Iteration 693 of 1000:" [1] 0.987791 [1] "Iteration 694 of 1000:" [1] 0.9848709 [1] "Iteration 695 of 1000:" [1] 0.9878695 [1] "Iteration 696 of 1000:" [1] 0.9855211 [1] "Iteration 697 of 1000:" [1] 0.9856193 [1] "Iteration 698 of 1000:" [1] 0.9881311 [1] "Iteration 699 of 1000:" [1] 0.986326 [1] "Iteration 700 of 1000:" [1] 0.986761 [1] "Iteration 701 of 1000:" [1] 0.9885953 [1] "Iteration 702 of 1000:" [1] 0.9851796 [1] "Iteration 703 of 1000:" [1] 0.985411 [1] "Iteration 704 of 1000:" [1] 0.9882743 [1] "Iteration 705 of 1000:" [1] 0.9872072 [1] "Iteration 706 of 1000:" [1] 0.9860925 [1] "Iteration 707 of 1000:" [1] 0.9873294 [1] "Iteration 708 of 1000:" [1] 0.9856495 [1] "Iteration 709 of 1000:" [1] 0.9852381 [1] "Iteration 710 of 1000:" [1] 0.9856396 [1] "Iteration 711 of 1000:" [1] 0.9857449 [1] "Iteration 712 of 1000:" [1] 0.9879072 [1] "Iteration 713 of 1000:" [1] 0.9873128 [1] "Iteration 714 of 1000:" [1] 0.9878152 [1] "Iteration 715 of 1000:" [1] 0.9879902 [1] "Iteration 716 of 1000:" [1] 0.9870043 [1] "Iteration 717 of 1000:" [1] 0.9877592 [1] "Iteration 718 of 1000:" [1] 0.9882632 [1] "Iteration 719 of 1000:" [1] 0.9855284 [1] "Iteration 720 of 1000:" [1] 0.9854162 [1] "Iteration 721 of 1000:" [1] 0.9853885 [1] "Iteration 722 of 1000:" [1] 0.9862625 [1] "Iteration 723 of 1000:" [1] 0.9847756 [1] "Iteration 724 of 1000:" [1] 0.9876053 [1] "Iteration 725 of 1000:" [1] 0.9872699 [1] "Iteration 726 of 1000:" [1] 0.9848902 [1] "Iteration 727 of 1000:" [1] 0.9855481 [1] "Iteration 728 of 1000:" [1] 0.9876848 [1] "Iteration 729 of 1000:" [1] 0.985617 [1] "Iteration 730 of 1000:" [1] 0.9852166 [1] "Iteration 731 of 1000:" [1] 0.9848568 [1] "Iteration 732 of 1000:" [1] 0.9844998 [1] "Iteration 733 of 1000:" [1] 0.9851028 [1] "Iteration 734 of 1000:" [1] 0.987157 [1] "Iteration 735 of 1000:" [1] 0.987437 [1] "Iteration 736 of 1000:" [1] 0.9867596 [1] "Iteration 737 of 1000:" [1] 0.9860891 [1] "Iteration 738 of 1000:" [1] 0.9873621 [1] "Iteration 739 of 1000:" [1] 0.9851128 [1] "Iteration 740 of 1000:" [1] 0.9880555 [1] "Iteration 741 of 1000:" [1] 0.9845632 [1] "Iteration 742 of 1000:" [1] 0.9853948 [1] "Iteration 743 of 1000:" [1] 0.9876889 [1] "Iteration 744 of 1000:" [1] 0.9857648 [1] "Iteration 745 of 1000:" [1] 0.9860273 [1] "Iteration 746 of 1000:" [1] 0.9863851 [1] "Iteration 747 of 1000:" [1] 0.9877855 [1] "Iteration 748 of 1000:" [1] 0.9862295 [1] "Iteration 749 of 1000:" [1] 0.9849574 [1] "Iteration 750 of 1000:" [1] 0.9859845 [1] "Iteration 751 of 1000:" [1] 0.9874698 [1] "Iteration 752 of 1000:" [1] 0.9874791 [1] "Iteration 753 of 1000:" [1] 0.9856203 [1] "Iteration 754 of 1000:" [1] 0.9869883 [1] "Iteration 755 of 1000:" [1] 0.9858907 [1] "Iteration 756 of 1000:" [1] 0.9863782 [1] "Iteration 757 of 1000:" [1] 0.986615 [1] "Iteration 758 of 1000:" [1] 0.9879673 [1] "Iteration 759 of 1000:" [1] 0.9864388 [1] "Iteration 760 of 1000:" [1] 0.9886124 [1] "Iteration 761 of 1000:" [1] 0.9870937 [1] "Iteration 762 of 1000:" [1] 0.9862041 [1] "Iteration 763 of 1000:" [1] 0.9879795 [1] "Iteration 764 of 1000:" [1] 0.98491 [1] "Iteration 765 of 1000:" [1] 0.9872433 [1] "Iteration 766 of 1000:" [1] 0.9875533 [1] "Iteration 767 of 1000:" [1] 0.9853766 [1] "Iteration 768 of 1000:" [1] 0.9868498 [1] "Iteration 769 of 1000:" [1] 0.986181 [1] "Iteration 770 of 1000:" [1] 0.9868981 [1] "Iteration 771 of 1000:" [1] 0.9868635 [1] "Iteration 772 of 1000:" [1] 0.9865146 [1] "Iteration 773 of 1000:" [1] 0.9869478 [1] "Iteration 774 of 1000:" [1] 0.9881661 [1] "Iteration 775 of 1000:" [1] 0.9879901 [1] "Iteration 776 of 1000:" [1] 0.9878905 [1] "Iteration 777 of 1000:" [1] 0.9878447 [1] "Iteration 778 of 1000:" [1] 0.9881571 [1] "Iteration 779 of 1000:" [1] 0.9856231 [1] "Iteration 780 of 1000:" [1] 0.9850438 [1] "Iteration 781 of 1000:" [1] 0.9877649 [1] "Iteration 782 of 1000:" [1] 0.9847335 [1] "Iteration 783 of 1000:" [1] 0.9871447 [1] "Iteration 784 of 1000:" [1] 0.9883635 [1] "Iteration 785 of 1000:" [1] 0.987116 [1] "Iteration 786 of 1000:" [1] 0.9880667 [1] "Iteration 787 of 1000:" [1] 0.9854557 [1] "Iteration 788 of 1000:" [1] 0.9864425 [1] "Iteration 789 of 1000:" [1] 0.9873285 [1] "Iteration 790 of 1000:" [1] 0.9848903 [1] "Iteration 791 of 1000:" [1] 0.984534 [1] "Iteration 792 of 1000:" [1] 0.9873781 [1] "Iteration 793 of 1000:" [1] 0.9848443 [1] "Iteration 794 of 1000:" [1] 0.9875095 [1] "Iteration 795 of 1000:" [1] 0.9857747 [1] "Iteration 796 of 1000:" [1] 0.9879641 [1] "Iteration 797 of 1000:" [1] 0.9879356 [1] "Iteration 798 of 1000:" [1] 0.9874262 [1] "Iteration 799 of 1000:" [1] 0.9874945 [1] "Iteration 800 of 1000:" [1] 0.9865655 [1] "Iteration 801 of 1000:" [1] 0.9848504 [1] "Iteration 802 of 1000:" [1] 0.9870768 [1] "Iteration 803 of 1000:" [1] 0.9886207 [1] "Iteration 804 of 1000:" [1] 0.9866706 [1] "Iteration 805 of 1000:" [1] 0.9849464 [1] "Iteration 806 of 1000:" [1] 0.9867301 [1] "Iteration 807 of 1000:" [1] 0.9848197 [1] "Iteration 808 of 1000:" [1] 0.9863876 [1] "Iteration 809 of 1000:" [1] 0.9864166 [1] "Iteration 810 of 1000:" [1] 0.9862795 [1] "Iteration 811 of 1000:" [1] 0.9882316 [1] "Iteration 812 of 1000:" [1] 0.9871786 [1] "Iteration 813 of 1000:" [1] 0.9874336 [1] "Iteration 814 of 1000:" [1] 0.9860753 [1] "Iteration 815 of 1000:" [1] 0.98676 [1] "Iteration 816 of 1000:" [1] 0.9869958 [1] "Iteration 817 of 1000:" [1] 0.9860061 [1] "Iteration 818 of 1000:" [1] 0.9848617 [1] "Iteration 819 of 1000:" [1] 0.9860952 [1] "Iteration 820 of 1000:" [1] 0.9859936 [1] "Iteration 821 of 1000:" [1] 0.9876403 [1] "Iteration 822 of 1000:" [1] 0.984929 [1] "Iteration 823 of 1000:" [1] 0.9859149 [1] "Iteration 824 of 1000:" [1] 0.986367 [1] "Iteration 825 of 1000:" [1] 0.9874876 [1] "Iteration 826 of 1000:" [1] 0.987495 [1] "Iteration 827 of 1000:" [1] 0.9848188 [1] "Iteration 828 of 1000:" [1] 0.9858507 [1] "Iteration 829 of 1000:" [1] 0.9847844 [1] "Iteration 830 of 1000:" [1] 0.9875119 [1] "Iteration 831 of 1000:" [1] 0.988382 [1] "Iteration 832 of 1000:" [1] 0.987657 [1] "Iteration 833 of 1000:" [1] 0.9876905 [1] "Iteration 834 of 1000:" [1] 0.987689 [1] "Iteration 835 of 1000:" [1] 0.9876708 [1] "Iteration 836 of 1000:" [1] 0.9869271 [1] "Iteration 837 of 1000:" [1] 0.9878581 [1] "Iteration 838 of 1000:" [1] 0.9871467 [1] "Iteration 839 of 1000:" [1] 0.9864495 [1] "Iteration 840 of 1000:" [1] 0.9850656 [1] "Iteration 841 of 1000:" [1] 0.9875216 [1] "Iteration 842 of 1000:" [1] 0.9881993 [1] "Iteration 843 of 1000:" [1] 0.9889583 [1] "Iteration 844 of 1000:" [1] 0.9881942 [1] "Iteration 845 of 1000:" [1] 0.9891444 [1] "Iteration 846 of 1000:" [1] 0.9866289 [1] "Iteration 847 of 1000:" [1] 0.987433 [1] "Iteration 848 of 1000:" [1] 0.9882357 [1] "Iteration 849 of 1000:" [1] 0.9855778 [1] "Iteration 850 of 1000:" [1] 0.9859386 [1] "Iteration 851 of 1000:" [1] 0.985478 [1] "Iteration 852 of 1000:" [1] 0.9855287 [1] "Iteration 853 of 1000:" [1] 0.9872048 [1] "Iteration 854 of 1000:" [1] 0.9874775 [1] "Iteration 855 of 1000:" [1] 0.9861199 [1] "Iteration 856 of 1000:" [1] 0.9856459 [1] "Iteration 857 of 1000:" [1] 0.9876402 [1] "Iteration 858 of 1000:" [1] 0.9852592 [1] "Iteration 859 of 1000:" [1] 0.9846522 [1] "Iteration 860 of 1000:" [1] 0.9889968 [1] "Iteration 861 of 1000:" [1] 0.9859753 [1] "Iteration 862 of 1000:" [1] 0.9876658 [1] "Iteration 863 of 1000:" [1] 0.9859734 [1] "Iteration 864 of 1000:" [1] 0.9873008 [1] "Iteration 865 of 1000:" [1] 0.9871112 [1] "Iteration 866 of 1000:" [1] 0.9848226 [1] "Iteration 867 of 1000:" [1] 0.9853721 [1] "Iteration 868 of 1000:" [1] 0.9860642 [1] "Iteration 869 of 1000:" [1] 0.9853756 [1] "Iteration 870 of 1000:" [1] 0.9874687 [1] "Iteration 871 of 1000:" [1] 0.9875778 [1] "Iteration 872 of 1000:" [1] 0.9886036 [1] "Iteration 873 of 1000:" [1] 0.9858294 [1] "Iteration 874 of 1000:" [1] 0.9875951 [1] "Iteration 875 of 1000:" [1] 0.9884767 [1] "Iteration 876 of 1000:" [1] 0.9849423 [1] "Iteration 877 of 1000:" [1] 0.9865292 [1] "Iteration 878 of 1000:" [1] 0.9874446 [1] "Iteration 879 of 1000:" [1] 0.9879238 [1] "Iteration 880 of 1000:" [1] 0.9880546 [1] "Iteration 881 of 1000:" [1] 0.9857358 [1] "Iteration 882 of 1000:" [1] 0.9849819 [1] "Iteration 883 of 1000:" [1] 0.9860111 [1] "Iteration 884 of 1000:" [1] 0.9856691 [1] "Iteration 885 of 1000:" [1] 0.9859276 [1] "Iteration 886 of 1000:" [1] 0.9858796 [1] "Iteration 887 of 1000:" [1] 0.9873181 [1] "Iteration 888 of 1000:" [1] 0.9873345 [1] "Iteration 889 of 1000:" [1] 0.9877869 [1] "Iteration 890 of 1000:" [1] 0.9855495 [1] "Iteration 891 of 1000:" [1] 0.9869095 [1] "Iteration 892 of 1000:" [1] 0.9876126 [1] "Iteration 893 of 1000:" [1] 0.9876911 [1] "Iteration 894 of 1000:" [1] 0.9876891 [1] "Iteration 895 of 1000:" [1] 0.9889076 [1] "Iteration 896 of 1000:" [1] 0.9855097 [1] "Iteration 897 of 1000:" [1] 0.9862955 [1] "Iteration 898 of 1000:" [1] 0.986195 [1] "Iteration 899 of 1000:" [1] 0.984911 [1] "Iteration 900 of 1000:" [1] 0.9855648 [1] "Iteration 901 of 1000:" [1] 0.9877227 [1] "Iteration 902 of 1000:" [1] 0.9865266 [1] "Iteration 903 of 1000:" [1] 0.9864198 [1] "Iteration 904 of 1000:" [1] 0.9845913 [1] "Iteration 905 of 1000:" [1] 0.9870331 [1] "Iteration 906 of 1000:" [1] 0.9864281 [1] "Iteration 907 of 1000:" [1] 0.9858082 [1] "Iteration 908 of 1000:" [1] 0.9868508 [1] "Iteration 909 of 1000:" [1] 0.9884222 [1] "Iteration 910 of 1000:" [1] 0.9854436 [1] "Iteration 911 of 1000:" [1] 0.9845973 [1] "Iteration 912 of 1000:" [1] 0.9858214 [1] "Iteration 913 of 1000:" [1] 0.9879613 [1] "Iteration 914 of 1000:" [1] 0.9873744 [1] "Iteration 915 of 1000:" [1] 0.9867457 [1] "Iteration 916 of 1000:" [1] 0.989488 [1] "Iteration 917 of 1000:" [1] 0.9890621 [1] "Iteration 918 of 1000:" [1] 0.9844998 [1] "Iteration 919 of 1000:" [1] 0.9885828 [1] "Iteration 920 of 1000:" [1] 0.9867414 [1] "Iteration 921 of 1000:" [1] 0.9864989 [1] "Iteration 922 of 1000:" [1] 0.9875163 [1] "Iteration 923 of 1000:" [1] 0.9850798 [1] "Iteration 924 of 1000:" [1] 0.9857738 [1] "Iteration 925 of 1000:" [1] 0.9892723 [1] "Iteration 926 of 1000:" [1] 0.9872408 [1] "Iteration 927 of 1000:" [1] 0.9878954 [1] "Iteration 928 of 1000:" [1] 0.9855954 [1] "Iteration 929 of 1000:" [1] 0.9857208 [1] "Iteration 930 of 1000:" [1] 0.9878606 [1] "Iteration 931 of 1000:" [1] 0.9881521 [1] "Iteration 932 of 1000:" [1] 0.9871807 [1] "Iteration 933 of 1000:" [1] 0.9873345 [1] "Iteration 934 of 1000:" [1] 0.9860192 [1] "Iteration 935 of 1000:" [1] 0.986354 [1] "Iteration 936 of 1000:" [1] 0.9865502 [1] "Iteration 937 of 1000:" [1] 0.9879376 [1] "Iteration 938 of 1000:" [1] 0.9877499 [1] "Iteration 939 of 1000:" [1] 0.9851435 [1] "Iteration 940 of 1000:" [1] 0.9881828 [1] "Iteration 941 of 1000:" [1] 0.9876926 [1] "Iteration 942 of 1000:" [1] 0.9876142 [1] "Iteration 943 of 1000:" [1] 0.9887074 [1] "Iteration 944 of 1000:" [1] 0.9880917 [1] "Iteration 945 of 1000:" [1] 0.9884119 [1] "Iteration 946 of 1000:" [1] 0.9860882 [1] "Iteration 947 of 1000:" [1] 0.9871307 [1] "Iteration 948 of 1000:" [1] 0.9854827 [1] "Iteration 949 of 1000:" [1] 0.9882441 [1] "Iteration 950 of 1000:" [1] 0.9864382 [1] "Iteration 951 of 1000:" [1] 0.9868795 [1] "Iteration 952 of 1000:" [1] 0.9882419 [1] "Iteration 953 of 1000:" [1] 0.9878164 [1] "Iteration 954 of 1000:" [1] 0.9871963 [1] "Iteration 955 of 1000:" [1] 0.9881304 [1] "Iteration 956 of 1000:" [1] 0.9857426 [1] "Iteration 957 of 1000:" [1] 0.9846349 [1] "Iteration 958 of 1000:" [1] 0.9848509 [1] "Iteration 959 of 1000:" [1] 0.9873672 [1] "Iteration 960 of 1000:" [1] 0.987705 [1] "Iteration 961 of 1000:" [1] 0.9881483 [1] "Iteration 962 of 1000:" [1] 0.9854232 [1] "Iteration 963 of 1000:" [1] 0.9865264 [1] "Iteration 964 of 1000:" [1] 0.9859284 [1] "Iteration 965 of 1000:" [1] 0.9881471 [1] "Iteration 966 of 1000:" [1] 0.9850233 [1] "Iteration 967 of 1000:" [1] 0.9869713 [1] "Iteration 968 of 1000:" [1] 0.9876028 [1] "Iteration 969 of 1000:" [1] 0.9861755 [1] "Iteration 970 of 1000:" [1] 0.9884579 [1] "Iteration 971 of 1000:" [1] 0.9858789 [1] "Iteration 972 of 1000:" [1] 0.9852939 [1] "Iteration 973 of 1000:" [1] 0.9886526 [1] "Iteration 974 of 1000:" [1] 0.9863453 [1] "Iteration 975 of 1000:" [1] 0.9860132 [1] "Iteration 976 of 1000:" [1] 0.9857497 [1] "Iteration 977 of 1000:" [1] 0.9881198 [1] "Iteration 978 of 1000:" [1] 0.9875951 [1] "Iteration 979 of 1000:" [1] 0.9873278 [1] "Iteration 980 of 1000:" [1] 0.987949 [1] "Iteration 981 of 1000:" [1] 0.9882556 [1] "Iteration 982 of 1000:" [1] 0.9873807 [1] "Iteration 983 of 1000:" [1] 0.9865786 [1] "Iteration 984 of 1000:" [1] 0.9854025 [1] "Iteration 985 of 1000:" [1] 0.9855945 [1] "Iteration 986 of 1000:" [1] 0.9862001 [1] "Iteration 987 of 1000:" [1] 0.9877061 [1] "Iteration 988 of 1000:" [1] 0.9855247 [1] "Iteration 989 of 1000:" [1] 0.98627 [1] "Iteration 990 of 1000:" [1] 0.9865931 [1] "Iteration 991 of 1000:" [1] 0.9869313 [1] "Iteration 992 of 1000:" [1] 0.9878214 [1] "Iteration 993 of 1000:" [1] 0.9880324 [1] "Iteration 994 of 1000:" [1] 0.9877186 [1] "Iteration 995 of 1000:" [1] 0.9860789 [1] "Iteration 996 of 1000:" [1] 0.9849818 [1] "Iteration 997 of 1000:" [1] 0.9846291 [1] "Iteration 998 of 1000:" [1] 0.9856004 [1] "Iteration 999 of 1000:" [1] 0.9856885 [1] "Iteration 1000 of 1000:" [1] 0.9868191 [1] "Iteration 1 of 1000:" [1] 0.5399784 [1] "Iteration 2 of 1000:" [1] 0.5145458 [1] "Iteration 3 of 1000:" [1] 0.517043 [1] "Iteration 4 of 1000:" [1] 0.5243997 [1] "Iteration 5 of 1000:" [1] 0.5216449 [1] "Iteration 6 of 1000:" [1] 0.5107499 [1] "Iteration 7 of 1000:" [1] 0.5014922 [1] "Iteration 8 of 1000:" [1] 0.5490824 [1] "Iteration 9 of 1000:" [1] 0.4996434 [1] "Iteration 10 of 1000:" [1] 0.5090339 [1] "Iteration 11 of 1000:" [1] 0.5192052 [1] "Iteration 12 of 1000:" [1] 0.5078128 [1] "Iteration 13 of 1000:" [1] 0.5253944 [1] "Iteration 14 of 1000:" [1] 0.5614944 [1] "Iteration 15 of 1000:" [1] 0.5217001 [1] "Iteration 16 of 1000:" [1] 0.517553 [1] "Iteration 17 of 1000:" [1] 0.550232 [1] "Iteration 18 of 1000:" [1] 0.5611047 [1] "Iteration 19 of 1000:" [1] 0.5113803 [1] "Iteration 20 of 1000:" [1] 0.5368869 [1] "Iteration 21 of 1000:" [1] 0.5117971 [1] "Iteration 22 of 1000:" [1] 0.5314712 [1] "Iteration 23 of 1000:" [1] 0.496837 [1] "Iteration 24 of 1000:" [1] 0.5176183 [1] "Iteration 25 of 1000:" [1] 0.4935548 [1] "Iteration 26 of 1000:" [1] 0.5380125 [1] "Iteration 27 of 1000:" [1] 0.5053021 [1] "Iteration 28 of 1000:" [1] 0.4865877 [1] "Iteration 29 of 1000:" [1] 0.5343977 [1] "Iteration 30 of 1000:" [1] 0.5462601 [1] "Iteration 31 of 1000:" [1] 0.5404224 [1] "Iteration 32 of 1000:" [1] 0.5470885 [1] "Iteration 33 of 1000:" [1] 0.5078866 [1] "Iteration 34 of 1000:" [1] 0.5401769 [1] "Iteration 35 of 1000:" [1] 0.5135951 [1] "Iteration 36 of 1000:" [1] 0.5094932 [1] "Iteration 37 of 1000:" [1] 0.5090437 [1] "Iteration 38 of 1000:" [1] 0.5396823 [1] "Iteration 39 of 1000:" [1] 0.5409431 [1] "Iteration 40 of 1000:" [1] 0.4675714 [1] "Iteration 41 of 1000:" [1] 0.4771233 [1] "Iteration 42 of 1000:" [1] 0.4973478 [1] "Iteration 43 of 1000:" [1] 0.547735 [1] "Iteration 44 of 1000:" [1] 0.5247764 [1] "Iteration 45 of 1000:" [1] 0.5626192 [1] "Iteration 46 of 1000:" [1] 0.4981761 [1] "Iteration 47 of 1000:" [1] 0.5006886 [1] "Iteration 48 of 1000:" [1] 0.5505552 [1] "Iteration 49 of 1000:" [1] 0.5490025 [1] "Iteration 50 of 1000:" [1] 0.5241044 [1] "Iteration 51 of 1000:" [1] 0.5241025 [1] "Iteration 52 of 1000:" [1] 0.5386574 [1] "Iteration 53 of 1000:" [1] 0.5711772 [1] "Iteration 54 of 1000:" [1] 0.5508601 [1] "Iteration 55 of 1000:" [1] 0.5159102 [1] "Iteration 56 of 1000:" [1] 0.5589815 [1] "Iteration 57 of 1000:" [1] 0.4854158 [1] "Iteration 58 of 1000:" [1] 0.5030459 [1] "Iteration 59 of 1000:" [1] 0.5609074 [1] "Iteration 60 of 1000:" [1] 0.4998639 [1] "Iteration 61 of 1000:" [1] 0.5668268 [1] "Iteration 62 of 1000:" [1] 0.4872252 [1] "Iteration 63 of 1000:" [1] 0.536095 [1] "Iteration 64 of 1000:" [1] 0.5020787 [1] "Iteration 65 of 1000:" [1] 0.545715 [1] "Iteration 66 of 1000:" [1] 0.4869392 [1] "Iteration 67 of 1000:" [1] 0.5711677 [1] "Iteration 68 of 1000:" [1] 0.5165487 [1] "Iteration 69 of 1000:" [1] 0.5299664 [1] "Iteration 70 of 1000:" [1] 0.5294848 [1] "Iteration 71 of 1000:" [1] 0.5309077 [1] "Iteration 72 of 1000:" [1] 0.5066343 [1] "Iteration 73 of 1000:" [1] 0.5092788 [1] "Iteration 74 of 1000:" [1] 0.5353854 [1] "Iteration 75 of 1000:" [1] 0.5048296 [1] "Iteration 76 of 1000:" [1] 0.5126917 [1] "Iteration 77 of 1000:" [1] 0.5551442 [1] "Iteration 78 of 1000:" [1] 0.5175001 [1] "Iteration 79 of 1000:" [1] 0.4776195 [1] "Iteration 80 of 1000:" [1] 0.5600176 [1] "Iteration 81 of 1000:" [1] 0.5353927 [1] "Iteration 82 of 1000:" [1] 0.5347762 [1] "Iteration 83 of 1000:" [1] 0.5092742 [1] "Iteration 84 of 1000:" [1] 0.5406636 [1] "Iteration 85 of 1000:" [1] 0.5482771 [1] "Iteration 86 of 1000:" [1] 0.5149962 [1] "Iteration 87 of 1000:" [1] 0.5239059 [1] "Iteration 88 of 1000:" [1] 0.5219902 [1] "Iteration 89 of 1000:" [1] 0.529177 [1] "Iteration 90 of 1000:" [1] 0.5506026 [1] "Iteration 91 of 1000:" [1] 0.5651538 [1] "Iteration 92 of 1000:" [1] 0.5596078 [1] "Iteration 93 of 1000:" [1] 0.5400001 [1] "Iteration 94 of 1000:" [1] 0.557693 [1] "Iteration 95 of 1000:" [1] 0.5406241 [1] "Iteration 96 of 1000:" [1] 0.5394148 [1] "Iteration 97 of 1000:" [1] 0.5395112 [1] "Iteration 98 of 1000:" [1] 0.5204243 [1] "Iteration 99 of 1000:" [1] 0.5356575 [1] "Iteration 100 of 1000:" [1] 0.5209502 [1] "Iteration 101 of 1000:" [1] 0.5147418 [1] "Iteration 102 of 1000:" [1] 0.4841696 [1] "Iteration 103 of 1000:" [1] 0.5362649 [1] "Iteration 104 of 1000:" [1] 0.5676901 [1] "Iteration 105 of 1000:" [1] 0.5268783 [1] "Iteration 106 of 1000:" [1] 0.480883 [1] "Iteration 107 of 1000:" [1] 0.4936569 [1] "Iteration 108 of 1000:" [1] 0.53692 [1] "Iteration 109 of 1000:" [1] 0.5457739 [1] "Iteration 110 of 1000:" [1] 0.5633567 [1] "Iteration 111 of 1000:" [1] 0.4692064 [1] "Iteration 112 of 1000:" [1] 0.5492518 [1] "Iteration 113 of 1000:" [1] 0.5647313 [1] "Iteration 114 of 1000:" [1] 0.5171225 [1] "Iteration 115 of 1000:" [1] 0.4776067 [1] "Iteration 116 of 1000:" [1] 0.5244137 [1] "Iteration 117 of 1000:" [1] 0.5083232 [1] "Iteration 118 of 1000:" [1] 0.5181558 [1] "Iteration 119 of 1000:" [1] 0.5052622 [1] "Iteration 120 of 1000:" [1] 0.538692 [1] "Iteration 121 of 1000:" [1] 0.509839 [1] "Iteration 122 of 1000:" [1] 0.5116278 [1] "Iteration 123 of 1000:" [1] 0.5178337 [1] "Iteration 124 of 1000:" [1] 0.5067362 [1] "Iteration 125 of 1000:" [1] 0.5344679 [1] "Iteration 126 of 1000:" [1] 0.5145924 [1] "Iteration 127 of 1000:" [1] 0.5302115 [1] "Iteration 128 of 1000:" [1] 0.5169105 [1] "Iteration 129 of 1000:" [1] 0.5422899 [1] "Iteration 130 of 1000:" [1] 0.5501162 [1] "Iteration 131 of 1000:" [1] 0.5211597 [1] "Iteration 132 of 1000:" [1] 0.546636 [1] "Iteration 133 of 1000:" [1] 0.517465 [1] "Iteration 134 of 1000:" [1] 0.4964567 [1] "Iteration 135 of 1000:" [1] 0.5441546 [1] "Iteration 136 of 1000:" [1] 0.5667772 [1] "Iteration 137 of 1000:" [1] 0.5448338 [1] "Iteration 138 of 1000:" [1] 0.5455595 [1] "Iteration 139 of 1000:" [1] 0.5330149 [1] "Iteration 140 of 1000:" [1] 0.4922948 [1] "Iteration 141 of 1000:" [1] 0.5163532 [1] "Iteration 142 of 1000:" [1] 0.5486953 [1] "Iteration 143 of 1000:" [1] 0.521103 [1] "Iteration 144 of 1000:" [1] 0.5270373 [1] "Iteration 145 of 1000:" [1] 0.5571014 [1] "Iteration 146 of 1000:" [1] 0.5504004 [1] "Iteration 147 of 1000:" [1] 0.4993488 [1] "Iteration 148 of 1000:" [1] 0.5230596 [1] "Iteration 149 of 1000:" [1] 0.5336787 [1] "Iteration 150 of 1000:" [1] 0.5644592 [1] "Iteration 151 of 1000:" [1] 0.5067338 [1] "Iteration 152 of 1000:" [1] 0.4796826 [1] "Iteration 153 of 1000:" [1] 0.4786184 [1] "Iteration 154 of 1000:" [1] 0.5433013 [1] "Iteration 155 of 1000:" [1] 0.5598301 [1] "Iteration 156 of 1000:" [1] 0.5399121 [1] "Iteration 157 of 1000:" [1] 0.5072724 [1] "Iteration 158 of 1000:" [1] 0.4834349 [1] "Iteration 159 of 1000:" [1] 0.5053386 [1] "Iteration 160 of 1000:" [1] 0.5364998 [1] "Iteration 161 of 1000:" [1] 0.5547311 [1] "Iteration 162 of 1000:" [1] 0.5204116 [1] "Iteration 163 of 1000:" [1] 0.5155642 [1] "Iteration 164 of 1000:" [1] 0.5125686 [1] "Iteration 165 of 1000:" [1] 0.5545516 [1] "Iteration 166 of 1000:" [1] 0.5154141 [1] "Iteration 167 of 1000:" [1] 0.5420545 [1] "Iteration 168 of 1000:" [1] 0.503159 [1] "Iteration 169 of 1000:" [1] 0.528982 [1] "Iteration 170 of 1000:" [1] 0.5176557 [1] "Iteration 171 of 1000:" [1] 0.5564258 [1] "Iteration 172 of 1000:" [1] 0.5077413 [1] "Iteration 173 of 1000:" [1] 0.558017 [1] "Iteration 174 of 1000:" [1] 0.5151336 [1] "Iteration 175 of 1000:" [1] 0.5556859 [1] "Iteration 176 of 1000:" [1] 0.5263214 [1] "Iteration 177 of 1000:" [1] 0.5382198 [1] "Iteration 178 of 1000:" [1] 0.5466027 [1] "Iteration 179 of 1000:" [1] 0.5428013 [1] "Iteration 180 of 1000:" [1] 0.5429748 [1] "Iteration 181 of 1000:" [1] 0.5629116 [1] "Iteration 182 of 1000:" [1] 0.5784851 [1] "Iteration 183 of 1000:" [1] 0.5123418 [1] "Iteration 184 of 1000:" [1] 0.5032853 [1] "Iteration 185 of 1000:" [1] 0.5307778 [1] "Iteration 186 of 1000:" [1] 0.5309026 [1] "Iteration 187 of 1000:" [1] 0.5010778 [1] "Iteration 188 of 1000:" [1] 0.540035 [1] "Iteration 189 of 1000:" [1] 0.5053444 [1] "Iteration 190 of 1000:" [1] 0.5025404 [1] "Iteration 191 of 1000:" [1] 0.5420936 [1] "Iteration 192 of 1000:" [1] 0.5073282 [1] "Iteration 193 of 1000:" [1] 0.4951409 [1] "Iteration 194 of 1000:" [1] 0.5232717 [1] "Iteration 195 of 1000:" [1] 0.523188 [1] "Iteration 196 of 1000:" [1] 0.5596324 [1] "Iteration 197 of 1000:" [1] 0.4985891 [1] "Iteration 198 of 1000:" [1] 0.5564054 [1] "Iteration 199 of 1000:" [1] 0.5241383 [1] "Iteration 200 of 1000:" [1] 0.5031898 [1] "Iteration 201 of 1000:" [1] 0.5183657 [1] "Iteration 202 of 1000:" [1] 0.560266 [1] "Iteration 203 of 1000:" [1] 0.5292345 [1] "Iteration 204 of 1000:" [1] 0.4771739 [1] "Iteration 205 of 1000:" [1] 0.5665968 [1] "Iteration 206 of 1000:" [1] 0.5573511 [1] "Iteration 207 of 1000:" [1] 0.5618521 [1] "Iteration 208 of 1000:" [1] 0.5407673 [1] "Iteration 209 of 1000:" [1] 0.556019 [1] "Iteration 210 of 1000:" [1] 0.5359704 [1] "Iteration 211 of 1000:" [1] 0.5422879 [1] "Iteration 212 of 1000:" [1] 0.4925728 [1] "Iteration 213 of 1000:" [1] 0.5040668 [1] "Iteration 214 of 1000:" [1] 0.5056671 [1] "Iteration 215 of 1000:" [1] 0.554551 [1] "Iteration 216 of 1000:" [1] 0.4869605 [1] "Iteration 217 of 1000:" [1] 0.4977987 [1] "Iteration 218 of 1000:" [1] 0.5202438 [1] "Iteration 219 of 1000:" [1] 0.5272188 [1] "Iteration 220 of 1000:" [1] 0.5607204 [1] "Iteration 221 of 1000:" [1] 0.5276932 [1] "Iteration 222 of 1000:" [1] 0.5435128 [1] "Iteration 223 of 1000:" [1] 0.5576282 [1] "Iteration 224 of 1000:" [1] 0.5323526 [1] "Iteration 225 of 1000:" [1] 0.531336 [1] "Iteration 226 of 1000:" [1] 0.5617085 [1] "Iteration 227 of 1000:" [1] 0.549426 [1] "Iteration 228 of 1000:" [1] 0.5417911 [1] "Iteration 229 of 1000:" [1] 0.540935 [1] "Iteration 230 of 1000:" [1] 0.5278559 [1] "Iteration 231 of 1000:" [1] 0.5315629 [1] "Iteration 232 of 1000:" [1] 0.5729172 [1] "Iteration 233 of 1000:" [1] 0.5330505 [1] "Iteration 234 of 1000:" [1] 0.5322314 [1] "Iteration 235 of 1000:" [1] 0.5321069 [1] "Iteration 236 of 1000:" [1] 0.5325645 [1] "Iteration 237 of 1000:" [1] 0.5337117 [1] "Iteration 238 of 1000:" [1] 0.550818 [1] "Iteration 239 of 1000:" [1] 0.5332571 [1] "Iteration 240 of 1000:" [1] 0.4958735 [1] "Iteration 241 of 1000:" [1] 0.5228238 [1] "Iteration 242 of 1000:" [1] 0.526928 [1] "Iteration 243 of 1000:" [1] 0.5242848 [1] "Iteration 244 of 1000:" [1] 0.5614507 [1] "Iteration 245 of 1000:" [1] 0.507126 [1] "Iteration 246 of 1000:" [1] 0.5010409 [1] "Iteration 247 of 1000:" [1] 0.5391715 [1] "Iteration 248 of 1000:" [1] 0.5469394 [1] "Iteration 249 of 1000:" [1] 0.5433481 [1] "Iteration 250 of 1000:" [1] 0.5214924 [1] "Iteration 251 of 1000:" [1] 0.5103056 [1] "Iteration 252 of 1000:" [1] 0.5095928 [1] "Iteration 253 of 1000:" [1] 0.5239912 [1] "Iteration 254 of 1000:" [1] 0.5191394 [1] "Iteration 255 of 1000:" [1] 0.5035036 [1] "Iteration 256 of 1000:" [1] 0.5043875 [1] "Iteration 257 of 1000:" [1] 0.573559 [1] "Iteration 258 of 1000:" [1] 0.5352607 [1] "Iteration 259 of 1000:" [1] 0.5591828 [1] "Iteration 260 of 1000:" [1] 0.527827 [1] "Iteration 261 of 1000:" [1] 0.5070475 [1] "Iteration 262 of 1000:" [1] 0.561818 [1] "Iteration 263 of 1000:" [1] 0.5550265 [1] "Iteration 264 of 1000:" [1] 0.5191372 [1] "Iteration 265 of 1000:" [1] 0.5169452 [1] "Iteration 266 of 1000:" [1] 0.5169729 [1] "Iteration 267 of 1000:" [1] 0.5118056 [1] "Iteration 268 of 1000:" [1] 0.4950221 [1] "Iteration 269 of 1000:" [1] 0.5480542 [1] "Iteration 270 of 1000:" [1] 0.51972 [1] "Iteration 271 of 1000:" [1] 0.5470893 [1] "Iteration 272 of 1000:" [1] 0.530151 [1] "Iteration 273 of 1000:" [1] 0.504708 [1] "Iteration 274 of 1000:" [1] 0.5046688 [1] "Iteration 275 of 1000:" [1] 0.5199628 [1] "Iteration 276 of 1000:" [1] 0.5097691 [1] "Iteration 277 of 1000:" [1] 0.5575893 [1] "Iteration 278 of 1000:" [1] 0.5264087 [1] "Iteration 279 of 1000:" [1] 0.5067338 [1] "Iteration 280 of 1000:" [1] 0.5391826 [1] "Iteration 281 of 1000:" [1] 0.5362921 [1] "Iteration 282 of 1000:" [1] 0.5097315 [1] "Iteration 283 of 1000:" [1] 0.5329921 [1] "Iteration 284 of 1000:" [1] 0.4908124 [1] "Iteration 285 of 1000:" [1] 0.4905101 [1] "Iteration 286 of 1000:" [1] 0.5592607 [1] "Iteration 287 of 1000:" [1] 0.5451283 [1] "Iteration 288 of 1000:" [1] 0.5244275 [1] "Iteration 289 of 1000:" [1] 0.552514 [1] "Iteration 290 of 1000:" [1] 0.5149095 [1] "Iteration 291 of 1000:" [1] 0.5625355 [1] "Iteration 292 of 1000:" [1] 0.5113808 [1] "Iteration 293 of 1000:" [1] 0.4776082 [1] "Iteration 294 of 1000:" [1] 0.5204181 [1] "Iteration 295 of 1000:" [1] 0.5321826 [1] "Iteration 296 of 1000:" [1] 0.5067338 [1] "Iteration 297 of 1000:" [1] 0.540667 [1] "Iteration 298 of 1000:" [1] 0.553613 [1] "Iteration 299 of 1000:" [1] 0.5446212 [1] "Iteration 300 of 1000:" [1] 0.5184824 [1] "Iteration 301 of 1000:" [1] 0.5179796 [1] "Iteration 302 of 1000:" [1] 0.5475296 [1] "Iteration 303 of 1000:" [1] 0.528241 [1] "Iteration 304 of 1000:" [1] 0.546774 [1] "Iteration 305 of 1000:" [1] 0.4983722 [1] "Iteration 306 of 1000:" [1] 0.5327679 [1] "Iteration 307 of 1000:" [1] 0.5038676 [1] "Iteration 308 of 1000:" [1] 0.5298432 [1] "Iteration 309 of 1000:" [1] 0.5145304 [1] "Iteration 310 of 1000:" [1] 0.5819841 [1] "Iteration 311 of 1000:" [1] 0.5308844 [1] "Iteration 312 of 1000:" [1] 0.5521973 [1] "Iteration 313 of 1000:" [1] 0.5260112 [1] "Iteration 314 of 1000:" [1] 0.500987 [1] "Iteration 315 of 1000:" [1] 0.5507236 [1] "Iteration 316 of 1000:" [1] 0.5062488 [1] "Iteration 317 of 1000:" [1] 0.53798 [1] "Iteration 318 of 1000:" [1] 0.538784 [1] "Iteration 319 of 1000:" [1] 0.49513 [1] "Iteration 320 of 1000:" [1] 0.5255144 [1] "Iteration 321 of 1000:" [1] 0.5261177 [1] "Iteration 322 of 1000:" [1] 0.5493792 [1] "Iteration 323 of 1000:" [1] 0.5401678 [1] "Iteration 324 of 1000:" [1] 0.554551 [1] "Iteration 325 of 1000:" [1] 0.5428912 [1] "Iteration 326 of 1000:" [1] 0.5448446 [1] "Iteration 327 of 1000:" [1] 0.5470667 [1] "Iteration 328 of 1000:" [1] 0.5087809 [1] "Iteration 329 of 1000:" [1] 0.5244014 [1] "Iteration 330 of 1000:" [1] 0.4755488 [1] "Iteration 331 of 1000:" [1] 0.5577085 [1] "Iteration 332 of 1000:" [1] 0.5258374 [1] "Iteration 333 of 1000:" [1] 0.5381462 [1] "Iteration 334 of 1000:" [1] 0.5513814 [1] "Iteration 335 of 1000:" [1] 0.5162471 [1] "Iteration 336 of 1000:" [1] 0.5137523 [1] "Iteration 337 of 1000:" [1] 0.5448476 [1] "Iteration 338 of 1000:" [1] 0.4678286 [1] "Iteration 339 of 1000:" [1] 0.5048046 [1] "Iteration 340 of 1000:" [1] 0.5383248 [1] "Iteration 341 of 1000:" [1] 0.5701965 [1] "Iteration 342 of 1000:" [1] 0.5224182 [1] "Iteration 343 of 1000:" [1] 0.5317546 [1] "Iteration 344 of 1000:" [1] 0.5241425 [1] "Iteration 345 of 1000:" [1] 0.5253504 [1] "Iteration 346 of 1000:" [1] 0.5086265 [1] "Iteration 347 of 1000:" [1] 0.5616302 [1] "Iteration 348 of 1000:" [1] 0.5210176 [1] "Iteration 349 of 1000:" [1] 0.5270775 [1] "Iteration 350 of 1000:" [1] 0.5371039 [1] "Iteration 351 of 1000:" [1] 0.5206761 [1] "Iteration 352 of 1000:" [1] 0.5372643 [1] "Iteration 353 of 1000:" [1] 0.5269205 [1] "Iteration 354 of 1000:" [1] 0.5495731 [1] "Iteration 355 of 1000:" [1] 0.5112922 [1] "Iteration 356 of 1000:" [1] 0.5395307 [1] "Iteration 357 of 1000:" [1] 0.5599263 [1] "Iteration 358 of 1000:" [1] 0.545924 [1] "Iteration 359 of 1000:" [1] 0.5133039 [1] "Iteration 360 of 1000:" [1] 0.5510689 [1] "Iteration 361 of 1000:" [1] 0.4967586 [1] "Iteration 362 of 1000:" [1] 0.5146111 [1] "Iteration 363 of 1000:" [1] 0.4950615 [1] "Iteration 364 of 1000:" [1] 0.5260219 [1] "Iteration 365 of 1000:" [1] 0.5140438 [1] "Iteration 366 of 1000:" [1] 0.5225517 [1] "Iteration 367 of 1000:" [1] 0.4949646 [1] "Iteration 368 of 1000:" [1] 0.536024 [1] "Iteration 369 of 1000:" [1] 0.5660871 [1] "Iteration 370 of 1000:" [1] 0.5376983 [1] "Iteration 371 of 1000:" [1] 0.539218 [1] "Iteration 372 of 1000:" [1] 0.4861074 [1] "Iteration 373 of 1000:" [1] 0.5636546 [1] "Iteration 374 of 1000:" [1] 0.5299182 [1] "Iteration 375 of 1000:" [1] 0.5445892 [1] "Iteration 376 of 1000:" [1] 0.5206111 [1] "Iteration 377 of 1000:" [1] 0.5433702 [1] "Iteration 378 of 1000:" [1] 0.5532082 [1] "Iteration 379 of 1000:" [1] 0.5548998 [1] "Iteration 380 of 1000:" [1] 0.5304485 [1] "Iteration 381 of 1000:" [1] 0.5551515 [1] "Iteration 382 of 1000:" [1] 0.5305066 [1] "Iteration 383 of 1000:" [1] 0.5368596 [1] "Iteration 384 of 1000:" [1] 0.5582764 [1] "Iteration 385 of 1000:" [1] 0.5267916 [1] "Iteration 386 of 1000:" [1] 0.520723 [1] "Iteration 387 of 1000:" [1] 0.4965447 [1] "Iteration 388 of 1000:" [1] 0.5305066 [1] "Iteration 389 of 1000:" [1] 0.5387939 [1] "Iteration 390 of 1000:" [1] 0.4926353 [1] "Iteration 391 of 1000:" [1] 0.5298322 [1] "Iteration 392 of 1000:" [1] 0.5687898 [1] "Iteration 393 of 1000:" [1] 0.5300035 [1] "Iteration 394 of 1000:" [1] 0.5247293 [1] "Iteration 395 of 1000:" [1] 0.5235295 [1] "Iteration 396 of 1000:" [1] 0.5446138 [1] "Iteration 397 of 1000:" [1] 0.4987863 [1] "Iteration 398 of 1000:" [1] 0.5216132 [1] "Iteration 399 of 1000:" [1] 0.557702 [1] "Iteration 400 of 1000:" [1] 0.5326147 [1] "Iteration 401 of 1000:" [1] 0.4920178 [1] "Iteration 402 of 1000:" [1] 0.5074735 [1] "Iteration 403 of 1000:" [1] 0.494758 [1] "Iteration 404 of 1000:" [1] 0.5180254 [1] "Iteration 405 of 1000:" [1] 0.5139578 [1] "Iteration 406 of 1000:" [1] 0.5670165 [1] "Iteration 407 of 1000:" [1] 0.5507525 [1] "Iteration 408 of 1000:" [1] 0.4975735 [1] "Iteration 409 of 1000:" [1] 0.5365994 [1] "Iteration 410 of 1000:" [1] 0.5506045 [1] "Iteration 411 of 1000:" [1] 0.5078255 [1] "Iteration 412 of 1000:" [1] 0.5610618 [1] "Iteration 413 of 1000:" [1] 0.5263907 [1] "Iteration 414 of 1000:" [1] 0.5351729 [1] "Iteration 415 of 1000:" [1] 0.5514247 [1] "Iteration 416 of 1000:" [1] 0.5577506 [1] "Iteration 417 of 1000:" [1] 0.5096822 [1] "Iteration 418 of 1000:" [1] 0.5305172 [1] "Iteration 419 of 1000:" [1] 0.5426405 [1] "Iteration 420 of 1000:" [1] 0.4990453 [1] "Iteration 421 of 1000:" [1] 0.5357256 [1] "Iteration 422 of 1000:" [1] 0.5707665 [1] "Iteration 423 of 1000:" [1] 0.4923559 [1] "Iteration 424 of 1000:" [1] 0.5095239 [1] "Iteration 425 of 1000:" [1] 0.517316 [1] "Iteration 426 of 1000:" [1] 0.5544783 [1] "Iteration 427 of 1000:" [1] 0.5459872 [1] "Iteration 428 of 1000:" [1] 0.5330298 [1] "Iteration 429 of 1000:" [1] 0.513566 [1] "Iteration 430 of 1000:" [1] 0.5095912 [1] "Iteration 431 of 1000:" [1] 0.4945308 [1] "Iteration 432 of 1000:" [1] 0.5210422 [1] "Iteration 433 of 1000:" [1] 0.5943633 [1] "Iteration 434 of 1000:" [1] 0.5763568 [1] "Iteration 435 of 1000:" [1] 0.5268617 [1] "Iteration 436 of 1000:" [1] 0.5079449 [1] "Iteration 437 of 1000:" [1] 0.5226432 [1] "Iteration 438 of 1000:" [1] 0.5234928 [1] "Iteration 439 of 1000:" [1] 0.4942268 [1] "Iteration 440 of 1000:" [1] 0.5310688 [1] "Iteration 441 of 1000:" [1] 0.4935611 [1] "Iteration 442 of 1000:" [1] 0.5151212 [1] "Iteration 443 of 1000:" [1] 0.5176352 [1] "Iteration 444 of 1000:" [1] 0.5146181 [1] "Iteration 445 of 1000:" [1] 0.5373505 [1] "Iteration 446 of 1000:" [1] 0.5225874 [1] "Iteration 447 of 1000:" [1] 0.5177851 [1] "Iteration 448 of 1000:" [1] 0.5229544 [1] "Iteration 449 of 1000:" [1] 0.4968656 [1] "Iteration 450 of 1000:" [1] 0.5560142 [1] "Iteration 451 of 1000:" [1] 0.5612487 [1] "Iteration 452 of 1000:" [1] 0.5364337 [1] "Iteration 453 of 1000:" [1] 0.5392153 [1] "Iteration 454 of 1000:" [1] 0.4900494 [1] "Iteration 455 of 1000:" [1] 0.5643248 [1] "Iteration 456 of 1000:" [1] 0.5291507 [1] "Iteration 457 of 1000:" [1] 0.5264362 [1] "Iteration 458 of 1000:" [1] 0.5293365 [1] "Iteration 459 of 1000:" [1] 0.5603193 [1] "Iteration 460 of 1000:" [1] 0.5352199 [1] "Iteration 461 of 1000:" [1] 0.4988823 [1] "Iteration 462 of 1000:" [1] 0.5531565 [1] "Iteration 463 of 1000:" [1] 0.5517506 [1] "Iteration 464 of 1000:" [1] 0.5560796 [1] "Iteration 465 of 1000:" [1] 0.5475325 [1] "Iteration 466 of 1000:" [1] 0.5332836 [1] "Iteration 467 of 1000:" [1] 0.5290063 [1] "Iteration 468 of 1000:" [1] 0.5370786 [1] "Iteration 469 of 1000:" [1] 0.5061488 [1] "Iteration 470 of 1000:" [1] 0.5141302 [1] "Iteration 471 of 1000:" [1] 0.5250876 [1] "Iteration 472 of 1000:" [1] 0.5477006 [1] "Iteration 473 of 1000:" [1] 0.4933176 [1] "Iteration 474 of 1000:" [1] 0.5104784 [1] "Iteration 475 of 1000:" [1] 0.513563 [1] "Iteration 476 of 1000:" [1] 0.4997723 [1] "Iteration 477 of 1000:" [1] 0.5315039 [1] "Iteration 478 of 1000:" [1] 0.533761 [1] "Iteration 479 of 1000:" [1] 0.5103094 [1] "Iteration 480 of 1000:" [1] 0.5537831 [1] "Iteration 481 of 1000:" [1] 0.5394106 [1] "Iteration 482 of 1000:" [1] 0.5435228 [1] "Iteration 483 of 1000:" [1] 0.5470893 [1] "Iteration 484 of 1000:" [1] 0.5078861 [1] "Iteration 485 of 1000:" [1] 0.5238495 [1] "Iteration 486 of 1000:" [1] 0.5055959 [1] "Iteration 487 of 1000:" [1] 0.5412737 [1] "Iteration 488 of 1000:" [1] 0.5445528 [1] "Iteration 489 of 1000:" [1] 0.5028116 [1] "Iteration 490 of 1000:" [1] 0.4965396 [1] "Iteration 491 of 1000:" [1] 0.5448082 [1] "Iteration 492 of 1000:" [1] 0.5580692 [1] "Iteration 493 of 1000:" [1] 0.5410597 [1] "Iteration 494 of 1000:" [1] 0.5683548 [1] "Iteration 495 of 1000:" [1] 0.5497016 [1] "Iteration 496 of 1000:" [1] 0.5669292 [1] "Iteration 497 of 1000:" [1] 0.5170429 [1] "Iteration 498 of 1000:" [1] 0.5132155 [1] "Iteration 499 of 1000:" [1] 0.5314747 [1] "Iteration 500 of 1000:" [1] 0.4999907 [1] "Iteration 501 of 1000:" [1] 0.5382488 [1] "Iteration 502 of 1000:" [1] 0.5153288 [1] "Iteration 503 of 1000:" [1] 0.5465398 [1] "Iteration 504 of 1000:" [1] 0.5346467 [1] "Iteration 505 of 1000:" [1] 0.5080506 [1] "Iteration 506 of 1000:" [1] 0.5227448 [1] "Iteration 507 of 1000:" [1] 0.5302976 [1] "Iteration 508 of 1000:" [1] 0.4995599 [1] "Iteration 509 of 1000:" [1] 0.4866346 [1] "Iteration 510 of 1000:" [1] 0.4962039 [1] "Iteration 511 of 1000:" [1] 0.5097051 [1] "Iteration 512 of 1000:" [1] 0.5187759 [1] "Iteration 513 of 1000:" [1] 0.5156765 [1] "Iteration 514 of 1000:" [1] 0.4762428 [1] "Iteration 515 of 1000:" [1] 0.5247646 [1] "Iteration 516 of 1000:" [1] 0.5718658 [1] "Iteration 517 of 1000:" [1] 0.5098746 [1] "Iteration 518 of 1000:" [1] 0.4968853 [1] "Iteration 519 of 1000:" [1] 0.4865722 [1] "Iteration 520 of 1000:" [1] 0.5594746 [1] "Iteration 521 of 1000:" [1] 0.524689 [1] "Iteration 522 of 1000:" [1] 0.5547423 [1] "Iteration 523 of 1000:" [1] 0.5227504 [1] "Iteration 524 of 1000:" [1] 0.5063411 [1] "Iteration 525 of 1000:" [1] 0.50727 [1] "Iteration 526 of 1000:" [1] 0.5095282 [1] "Iteration 527 of 1000:" [1] 0.5367366 [1] "Iteration 528 of 1000:" [1] 0.5411685 [1] "Iteration 529 of 1000:" [1] 0.4903038 [1] "Iteration 530 of 1000:" [1] 0.5118526 [1] "Iteration 531 of 1000:" [1] 0.5302335 [1] "Iteration 532 of 1000:" [1] 0.4905424 [1] "Iteration 533 of 1000:" [1] 0.5178597 [1] "Iteration 534 of 1000:" [1] 0.5173031 [1] "Iteration 535 of 1000:" [1] 0.5355321 [1] "Iteration 536 of 1000:" [1] 0.560824 [1] "Iteration 537 of 1000:" [1] 0.496892 [1] "Iteration 538 of 1000:" [1] 0.5067338 [1] "Iteration 539 of 1000:" [1] 0.5441757 [1] "Iteration 540 of 1000:" [1] 0.5105894 [1] "Iteration 541 of 1000:" [1] 0.5369801 [1] "Iteration 542 of 1000:" [1] 0.5239346 [1] "Iteration 543 of 1000:" [1] 0.5465025 [1] "Iteration 544 of 1000:" [1] 0.4925575 [1] "Iteration 545 of 1000:" [1] 0.5112076 [1] "Iteration 546 of 1000:" [1] 0.4846589 [1] "Iteration 547 of 1000:" [1] 0.4960247 [1] "Iteration 548 of 1000:" [1] 0.5154251 [1] "Iteration 549 of 1000:" [1] 0.4778305 [1] "Iteration 550 of 1000:" [1] 0.5381748 [1] "Iteration 551 of 1000:" [1] 0.5291507 [1] "Iteration 552 of 1000:" [1] 0.5382598 [1] "Iteration 553 of 1000:" [1] 0.5264513 [1] "Iteration 554 of 1000:" [1] 0.5260039 [1] "Iteration 555 of 1000:" [1] 0.5305951 [1] "Iteration 556 of 1000:" [1] 0.5322955 [1] "Iteration 557 of 1000:" [1] 0.5067338 [1] "Iteration 558 of 1000:" [1] 0.5449197 [1] "Iteration 559 of 1000:" [1] 0.5380437 [1] "Iteration 560 of 1000:" [1] 0.5108599 [1] "Iteration 561 of 1000:" [1] 0.5261561 [1] "Iteration 562 of 1000:" [1] 0.5152965 [1] "Iteration 563 of 1000:" [1] 0.4876474 [1] "Iteration 564 of 1000:" [1] 0.5626037 [1] "Iteration 565 of 1000:" [1] 0.5360749 [1] "Iteration 566 of 1000:" [1] 0.524348 [1] "Iteration 567 of 1000:" [1] 0.5399593 [1] "Iteration 568 of 1000:" [1] 0.5322511 [1] "Iteration 569 of 1000:" [1] 0.5370234 [1] "Iteration 570 of 1000:" [1] 0.4938317 [1] "Iteration 571 of 1000:" [1] 0.5815772 [1] "Iteration 572 of 1000:" [1] 0.4964944 [1] "Iteration 573 of 1000:" [1] 0.5006214 [1] "Iteration 574 of 1000:" [1] 0.5201001 [1] "Iteration 575 of 1000:" [1] 0.4943811 [1] "Iteration 576 of 1000:" [1] 0.5097429 [1] "Iteration 577 of 1000:" [1] 0.5440721 [1] "Iteration 578 of 1000:" [1] 0.5276828 [1] "Iteration 579 of 1000:" [1] 0.56345 [1] "Iteration 580 of 1000:" [1] 0.5183108 [1] "Iteration 581 of 1000:" [1] 0.511387 [1] "Iteration 582 of 1000:" [1] 0.5413036 [1] "Iteration 583 of 1000:" [1] 0.4824123 [1] "Iteration 584 of 1000:" [1] 0.5283691 [1] "Iteration 585 of 1000:" [1] 0.4931818 [1] "Iteration 586 of 1000:" [1] 0.5375314 [1] "Iteration 587 of 1000:" [1] 0.5095928 [1] "Iteration 588 of 1000:" [1] 0.5293887 [1] "Iteration 589 of 1000:" [1] 0.5113579 [1] "Iteration 590 of 1000:" [1] 0.5207538 [1] "Iteration 591 of 1000:" [1] 0.5268867 [1] "Iteration 592 of 1000:" [1] 0.5224536 [1] "Iteration 593 of 1000:" [1] 0.5824766 [1] "Iteration 594 of 1000:" [1] 0.5446726 [1] "Iteration 595 of 1000:" [1] 0.5573024 [1] "Iteration 596 of 1000:" [1] 0.5106633 [1] "Iteration 597 of 1000:" [1] 0.5409699 [1] "Iteration 598 of 1000:" [1] 0.498807 [1] "Iteration 599 of 1000:" [1] 0.5532924 [1] "Iteration 600 of 1000:" [1] 0.5150921 [1] "Iteration 601 of 1000:" [1] 0.536785 [1] "Iteration 602 of 1000:" [1] 0.5641291 [1] "Iteration 603 of 1000:" [1] 0.5094326 [1] "Iteration 604 of 1000:" [1] 0.5253478 [1] "Iteration 605 of 1000:" [1] 0.5309519 [1] "Iteration 606 of 1000:" [1] 0.5461568 [1] "Iteration 607 of 1000:" [1] 0.4778305 [1] "Iteration 608 of 1000:" [1] 0.484609 [1] "Iteration 609 of 1000:" [1] 0.552848 [1] "Iteration 610 of 1000:" [1] 0.4925461 [1] "Iteration 611 of 1000:" [1] 0.5058824 [1] "Iteration 612 of 1000:" [1] 0.4942489 [1] "Iteration 613 of 1000:" [1] 0.5404224 [1] "Iteration 614 of 1000:" [1] 0.5685314 [1] "Iteration 615 of 1000:" [1] 0.5571177 [1] "Iteration 616 of 1000:" [1] 0.5408242 [1] "Iteration 617 of 1000:" [1] 0.5113805 [1] "Iteration 618 of 1000:" [1] 0.5008252 [1] "Iteration 619 of 1000:" [1] 0.53535 [1] "Iteration 620 of 1000:" [1] 0.527598 [1] "Iteration 621 of 1000:" [1] 0.5454375 [1] "Iteration 622 of 1000:" [1] 0.507704 [1] "Iteration 623 of 1000:" [1] 0.4976502 [1] "Iteration 624 of 1000:" [1] 0.5212817 [1] "Iteration 625 of 1000:" [1] 0.5456512 [1] "Iteration 626 of 1000:" [1] 0.4855131 [1] "Iteration 627 of 1000:" [1] 0.5263889 [1] "Iteration 628 of 1000:" [1] 0.5232935 [1] "Iteration 629 of 1000:" [1] 0.5262145 [1] "Iteration 630 of 1000:" [1] 0.5384648 [1] "Iteration 631 of 1000:" [1] 0.507615 [1] "Iteration 632 of 1000:" [1] 0.5161675 [1] "Iteration 633 of 1000:" [1] 0.5366162 [1] "Iteration 634 of 1000:" [1] 0.472947 [1] "Iteration 635 of 1000:" [1] 0.5032508 [1] "Iteration 636 of 1000:" [1] 0.5372536 [1] "Iteration 637 of 1000:" [1] 0.5233913 [1] "Iteration 638 of 1000:" [1] 0.5008804 [1] "Iteration 639 of 1000:" [1] 0.5288975 [1] "Iteration 640 of 1000:" [1] 0.557674 [1] "Iteration 641 of 1000:" [1] 0.5250755 [1] "Iteration 642 of 1000:" [1] 0.5216826 [1] "Iteration 643 of 1000:" [1] 0.561913 [1] "Iteration 644 of 1000:" [1] 0.543913 [1] "Iteration 645 of 1000:" [1] 0.4890164 [1] "Iteration 646 of 1000:" [1] 0.5019005 [1] "Iteration 647 of 1000:" [1] 0.5386634 [1] "Iteration 648 of 1000:" [1] 0.5208507 [1] "Iteration 649 of 1000:" [1] 0.5381956 [1] "Iteration 650 of 1000:" [1] 0.5343975 [1] "Iteration 651 of 1000:" [1] 0.5210487 [1] "Iteration 652 of 1000:" [1] 0.5320204 [1] "Iteration 653 of 1000:" [1] 0.5873037 [1] "Iteration 654 of 1000:" [1] 0.494113 [1] "Iteration 655 of 1000:" [1] 0.5466206 [1] "Iteration 656 of 1000:" [1] 0.5151749 [1] "Iteration 657 of 1000:" [1] 0.5058461 [1] "Iteration 658 of 1000:" [1] 0.5079114 [1] "Iteration 659 of 1000:" [1] 0.5489893 [1] "Iteration 660 of 1000:" [1] 0.5584279 [1] "Iteration 661 of 1000:" [1] 0.5583169 [1] "Iteration 662 of 1000:" [1] 0.5213982 [1] "Iteration 663 of 1000:" [1] 0.5044765 [1] "Iteration 664 of 1000:" [1] 0.5269428 [1] "Iteration 665 of 1000:" [1] 0.5578316 [1] "Iteration 666 of 1000:" [1] 0.5191496 [1] "Iteration 667 of 1000:" [1] 0.5428584 [1] "Iteration 668 of 1000:" [1] 0.5063893 [1] "Iteration 669 of 1000:" [1] 0.5371434 [1] "Iteration 670 of 1000:" [1] 0.5404016 [1] "Iteration 671 of 1000:" [1] 0.5075639 [1] "Iteration 672 of 1000:" [1] 0.5274645 [1] "Iteration 673 of 1000:" [1] 0.4783074 [1] "Iteration 674 of 1000:" [1] 0.4848551 [1] "Iteration 675 of 1000:" [1] 0.51411 [1] "Iteration 676 of 1000:" [1] 0.5673676 [1] "Iteration 677 of 1000:" [1] 0.5283268 [1] "Iteration 678 of 1000:" [1] 0.5531871 [1] "Iteration 679 of 1000:" [1] 0.5364687 [1] "Iteration 680 of 1000:" [1] 0.4886993 [1] "Iteration 681 of 1000:" [1] 0.4924189 [1] "Iteration 682 of 1000:" [1] 0.5279907 [1] "Iteration 683 of 1000:" [1] 0.4992888 [1] "Iteration 684 of 1000:" [1] 0.5418377 [1] "Iteration 685 of 1000:" [1] 0.5555039 [1] "Iteration 686 of 1000:" [1] 0.515818 [1] "Iteration 687 of 1000:" [1] 0.5230793 [1] "Iteration 688 of 1000:" [1] 0.5006096 [1] "Iteration 689 of 1000:" [1] 0.5433889 [1] "Iteration 690 of 1000:" [1] 0.5341788 [1] "Iteration 691 of 1000:" [1] 0.5743692 [1] "Iteration 692 of 1000:" [1] 0.5651865 [1] "Iteration 693 of 1000:" [1] 0.5251392 [1] "Iteration 694 of 1000:" [1] 0.4881397 [1] "Iteration 695 of 1000:" [1] 0.5174999 [1] "Iteration 696 of 1000:" [1] 0.5182989 [1] "Iteration 697 of 1000:" [1] 0.499465 [1] "Iteration 698 of 1000:" [1] 0.5299961 [1] "Iteration 699 of 1000:" [1] 0.5396685 [1] "Iteration 700 of 1000:" [1] 0.4873518 [1] "Iteration 701 of 1000:" [1] 0.5171036 [1] "Iteration 702 of 1000:" [1] 0.5474018 [1] "Iteration 703 of 1000:" [1] 0.5230803 [1] "Iteration 704 of 1000:" [1] 0.4778305 [1] "Iteration 705 of 1000:" [1] 0.5029423 [1] "Iteration 706 of 1000:" [1] 0.5109748 [1] "Iteration 707 of 1000:" [1] 0.5399106 [1] "Iteration 708 of 1000:" [1] 0.5196635 [1] "Iteration 709 of 1000:" [1] 0.5243798 [1] "Iteration 710 of 1000:" [1] 0.5236459 [1] "Iteration 711 of 1000:" [1] 0.5314304 [1] "Iteration 712 of 1000:" [1] 0.5202777 [1] "Iteration 713 of 1000:" [1] 0.5080005 [1] "Iteration 714 of 1000:" [1] 0.5431909 [1] "Iteration 715 of 1000:" [1] 0.5072937 [1] "Iteration 716 of 1000:" [1] 0.5382772 [1] "Iteration 717 of 1000:" [1] 0.5347597 [1] "Iteration 718 of 1000:" [1] 0.5508844 [1] "Iteration 719 of 1000:" [1] 0.5186545 [1] "Iteration 720 of 1000:" [1] 0.5212506 [1] "Iteration 721 of 1000:" [1] 0.4810787 [1] "Iteration 722 of 1000:" [1] 0.5134298 [1] "Iteration 723 of 1000:" [1] 0.5346994 [1] "Iteration 724 of 1000:" [1] 0.5172375 [1] "Iteration 725 of 1000:" [1] 0.5532263 [1] "Iteration 726 of 1000:" [1] 0.5507162 [1] "Iteration 727 of 1000:" [1] 0.4866032 [1] "Iteration 728 of 1000:" [1] 0.5218564 [1] "Iteration 729 of 1000:" [1] 0.5472524 [1] "Iteration 730 of 1000:" [1] 0.5165727 [1] "Iteration 731 of 1000:" [1] 0.5295331 [1] "Iteration 732 of 1000:" [1] 0.5036784 [1] "Iteration 733 of 1000:" [1] 0.5533066 [1] "Iteration 734 of 1000:" [1] 0.5445756 [1] "Iteration 735 of 1000:" [1] 0.5122065 [1] "Iteration 736 of 1000:" [1] 0.5336847 [1] "Iteration 737 of 1000:" [1] 0.4921805 [1] "Iteration 738 of 1000:" [1] 0.5514517 [1] "Iteration 739 of 1000:" [1] 0.5955452 [1] "Iteration 740 of 1000:" [1] 0.5253504 [1] "Iteration 741 of 1000:" [1] 0.5469892 [1] "Iteration 742 of 1000:" [1] 0.5238114 [1] "Iteration 743 of 1000:" [1] 0.5153482 [1] "Iteration 744 of 1000:" [1] 0.488155 [1] "Iteration 745 of 1000:" [1] 0.5030459 [1] "Iteration 746 of 1000:" [1] 0.5119018 [1] "Iteration 747 of 1000:" [1] 0.5350829 [1] "Iteration 748 of 1000:" [1] 0.5400647 [1] "Iteration 749 of 1000:" [1] 0.5286435 [1] "Iteration 750 of 1000:" [1] 0.5398911 [1] "Iteration 751 of 1000:" [1] 0.5045199 [1] "Iteration 752 of 1000:" [1] 0.5224942 [1] "Iteration 753 of 1000:" [1] 0.5567074 [1] "Iteration 754 of 1000:" [1] 0.5284636 [1] "Iteration 755 of 1000:" [1] 0.549578 [1] "Iteration 756 of 1000:" [1] 0.5070145 [1] "Iteration 757 of 1000:" [1] 0.5348276 [1] "Iteration 758 of 1000:" [1] 0.5225526 [1] "Iteration 759 of 1000:" [1] 0.5418261 [1] "Iteration 760 of 1000:" [1] 0.491261 [1] "Iteration 761 of 1000:" [1] 0.5136079 [1] "Iteration 762 of 1000:" [1] 0.5482687 [1] "Iteration 763 of 1000:" [1] 0.549755 [1] "Iteration 764 of 1000:" [1] 0.5388779 [1] "Iteration 765 of 1000:" [1] 0.5327205 [1] "Iteration 766 of 1000:" [1] 0.4983095 [1] "Iteration 767 of 1000:" [1] 0.5118516 [1] "Iteration 768 of 1000:" [1] 0.5119919 [1] "Iteration 769 of 1000:" [1] 0.5411305 [1] "Iteration 770 of 1000:" [1] 0.5579849 [1] "Iteration 771 of 1000:" [1] 0.5194133 [1] "Iteration 772 of 1000:" [1] 0.5180605 [1] "Iteration 773 of 1000:" [1] 0.5218197 [1] "Iteration 774 of 1000:" [1] 0.5436651 [1] "Iteration 775 of 1000:" [1] 0.5235263 [1] "Iteration 776 of 1000:" [1] 0.5266507 [1] "Iteration 777 of 1000:" [1] 0.5110784 [1] "Iteration 778 of 1000:" [1] 0.5491116 [1] "Iteration 779 of 1000:" [1] 0.5260366 [1] "Iteration 780 of 1000:" [1] 0.5579818 [1] "Iteration 781 of 1000:" [1] 0.4934494 [1] "Iteration 782 of 1000:" [1] 0.5179478 [1] "Iteration 783 of 1000:" [1] 0.5658604 [1] "Iteration 784 of 1000:" [1] 0.50727 [1] "Iteration 785 of 1000:" [1] 0.5594948 [1] "Iteration 786 of 1000:" [1] 0.5246311 [1] "Iteration 787 of 1000:" [1] 0.5380524 [1] "Iteration 788 of 1000:" [1] 0.555143 [1] "Iteration 789 of 1000:" [1] 0.5221485 [1] "Iteration 790 of 1000:" [1] 0.5071071 [1] "Iteration 791 of 1000:" [1] 0.4793999 [1] "Iteration 792 of 1000:" [1] 0.4933711 [1] "Iteration 793 of 1000:" [1] 0.4845615 [1] "Iteration 794 of 1000:" [1] 0.5193944 [1] "Iteration 795 of 1000:" [1] 0.5473642 [1] "Iteration 796 of 1000:" [1] 0.5505443 [1] "Iteration 797 of 1000:" [1] 0.5231814 [1] "Iteration 798 of 1000:" [1] 0.5445528 [1] "Iteration 799 of 1000:" [1] 0.5321511 [1] "Iteration 800 of 1000:" [1] 0.5075928 [1] "Iteration 801 of 1000:" [1] 0.498092 [1] "Iteration 802 of 1000:" [1] 0.5155869 [1] "Iteration 803 of 1000:" [1] 0.5191794 [1] "Iteration 804 of 1000:" [1] 0.5084165 [1] "Iteration 805 of 1000:" [1] 0.5667065 [1] "Iteration 806 of 1000:" [1] 0.5153939 [1] "Iteration 807 of 1000:" [1] 0.5155154 [1] "Iteration 808 of 1000:" [1] 0.5390426 [1] "Iteration 809 of 1000:" [1] 0.5278977 [1] "Iteration 810 of 1000:" [1] 0.5075615 [1] "Iteration 811 of 1000:" [1] 0.5284887 [1] "Iteration 812 of 1000:" [1] 0.5731156 [1] "Iteration 813 of 1000:" [1] 0.5565454 [1] "Iteration 814 of 1000:" [1] 0.5158406 [1] "Iteration 815 of 1000:" [1] 0.568959 [1] "Iteration 816 of 1000:" [1] 0.5257402 [1] "Iteration 817 of 1000:" [1] 0.5006269 [1] "Iteration 818 of 1000:" [1] 0.533101 [1] "Iteration 819 of 1000:" [1] 0.5275464 [1] "Iteration 820 of 1000:" [1] 0.5790796 [1] "Iteration 821 of 1000:" [1] 0.5102354 [1] "Iteration 822 of 1000:" [1] 0.4987534 [1] "Iteration 823 of 1000:" [1] 0.5721789 [1] "Iteration 824 of 1000:" [1] 0.5020613 [1] "Iteration 825 of 1000:" [1] 0.5183321 [1] "Iteration 826 of 1000:" [1] 0.5014179 [1] "Iteration 827 of 1000:" [1] 0.5050578 [1] "Iteration 828 of 1000:" [1] 0.5294026 [1] "Iteration 829 of 1000:" [1] 0.5659494 [1] "Iteration 830 of 1000:" [1] 0.5345851 [1] "Iteration 831 of 1000:" [1] 0.4968034 [1] "Iteration 832 of 1000:" [1] 0.5516838 [1] "Iteration 833 of 1000:" [1] 0.5292677 [1] "Iteration 834 of 1000:" [1] 0.4734833 [1] "Iteration 835 of 1000:" [1] 0.5370337 [1] "Iteration 836 of 1000:" [1] 0.5355602 [1] "Iteration 837 of 1000:" [1] 0.4848537 [1] "Iteration 838 of 1000:" [1] 0.5194195 [1] "Iteration 839 of 1000:" [1] 0.5412437 [1] "Iteration 840 of 1000:" [1] 0.5418706 [1] "Iteration 841 of 1000:" [1] 0.5065444 [1] "Iteration 842 of 1000:" [1] 0.5414023 [1] "Iteration 843 of 1000:" [1] 0.5645448 [1] "Iteration 844 of 1000:" [1] 0.4946462 [1] "Iteration 845 of 1000:" [1] 0.5538039 [1] "Iteration 846 of 1000:" [1] 0.5189257 [1] "Iteration 847 of 1000:" [1] 0.5053568 [1] "Iteration 848 of 1000:" [1] 0.5092421 [1] "Iteration 849 of 1000:" [1] 0.5396608 [1] "Iteration 850 of 1000:" [1] 0.5311579 [1] "Iteration 851 of 1000:" [1] 0.5647943 [1] "Iteration 852 of 1000:" [1] 0.5573174 [1] "Iteration 853 of 1000:" [1] 0.5594297 [1] "Iteration 854 of 1000:" [1] 0.5487731 [1] "Iteration 855 of 1000:" [1] 0.5113716 [1] "Iteration 856 of 1000:" [1] 0.556564 [1] "Iteration 857 of 1000:" [1] 0.547918 [1] "Iteration 858 of 1000:" [1] 0.528429 [1] "Iteration 859 of 1000:" [1] 0.5184556 [1] "Iteration 860 of 1000:" [1] 0.527915 [1] "Iteration 861 of 1000:" [1] 0.5577922 [1] "Iteration 862 of 1000:" [1] 0.4900813 [1] "Iteration 863 of 1000:" [1] 0.5297948 [1] "Iteration 864 of 1000:" [1] 0.5166555 [1] "Iteration 865 of 1000:" [1] 0.5357653 [1] "Iteration 866 of 1000:" [1] 0.5463037 [1] "Iteration 867 of 1000:" [1] 0.5359736 [1] "Iteration 868 of 1000:" [1] 0.540165 [1] "Iteration 869 of 1000:" [1] 0.5369362 [1] "Iteration 870 of 1000:" [1] 0.5215771 [1] "Iteration 871 of 1000:" [1] 0.51209 [1] "Iteration 872 of 1000:" [1] 0.5436447 [1] "Iteration 873 of 1000:" [1] 0.5557872 [1] "Iteration 874 of 1000:" [1] 0.4975228 [1] "Iteration 875 of 1000:" [1] 0.5095868 [1] "Iteration 876 of 1000:" [1] 0.5075715 [1] "Iteration 877 of 1000:" [1] 0.5453507 [1] "Iteration 878 of 1000:" [1] 0.5180473 [1] "Iteration 879 of 1000:" [1] 0.494719 [1] "Iteration 880 of 1000:" [1] 0.5022572 [1] "Iteration 881 of 1000:" [1] 0.5416357 [1] "Iteration 882 of 1000:" [1] 0.5400199 [1] "Iteration 883 of 1000:" [1] 0.5486667 [1] "Iteration 884 of 1000:" [1] 0.5031976 [1] "Iteration 885 of 1000:" [1] 0.541235 [1] "Iteration 886 of 1000:" [1] 0.5314636 [1] "Iteration 887 of 1000:" [1] 0.5426719 [1] "Iteration 888 of 1000:" [1] 0.5574192 [1] "Iteration 889 of 1000:" [1] 0.5395687 [1] "Iteration 890 of 1000:" [1] 0.524808 [1] "Iteration 891 of 1000:" [1] 0.5601618 [1] "Iteration 892 of 1000:" [1] 0.545354 [1] "Iteration 893 of 1000:" [1] 0.5115326 [1] "Iteration 894 of 1000:" [1] 0.4911963 [1] "Iteration 895 of 1000:" [1] 0.4856918 [1] "Iteration 896 of 1000:" [1] 0.5290915 [1] "Iteration 897 of 1000:" [1] 0.5467062 [1] "Iteration 898 of 1000:" [1] 0.5343228 [1] "Iteration 899 of 1000:" [1] 0.5328697 [1] "Iteration 900 of 1000:" [1] 0.5434696 [1] "Iteration 901 of 1000:" [1] 0.5392943 [1] "Iteration 902 of 1000:" [1] 0.5593402 [1] "Iteration 903 of 1000:" [1] 0.5250643 [1] "Iteration 904 of 1000:" [1] 0.544385 [1] "Iteration 905 of 1000:" [1] 0.5224189 [1] "Iteration 906 of 1000:" [1] 0.5045718 [1] "Iteration 907 of 1000:" [1] 0.5257546 [1] "Iteration 908 of 1000:" [1] 0.4767454 [1] "Iteration 909 of 1000:" [1] 0.5038111 [1] "Iteration 910 of 1000:" [1] 0.5445528 [1] "Iteration 911 of 1000:" [1] 0.5484741 [1] "Iteration 912 of 1000:" [1] 0.5653142 [1] "Iteration 913 of 1000:" [1] 0.5678237 [1] "Iteration 914 of 1000:" [1] 0.5328525 [1] "Iteration 915 of 1000:" [1] 0.4872645 [1] "Iteration 916 of 1000:" [1] 0.5229834 [1] "Iteration 917 of 1000:" [1] 0.5393878 [1] "Iteration 918 of 1000:" [1] 0.5157443 [1] "Iteration 919 of 1000:" [1] 0.5490705 [1] "Iteration 920 of 1000:" [1] 0.5474653 [1] "Iteration 921 of 1000:" [1] 0.5361232 [1] "Iteration 922 of 1000:" [1] 0.5123868 [1] "Iteration 923 of 1000:" [1] 0.525755 [1] "Iteration 924 of 1000:" [1] 0.5376831 [1] "Iteration 925 of 1000:" [1] 0.5713436 [1] "Iteration 926 of 1000:" [1] 0.5205167 [1] "Iteration 927 of 1000:" [1] 0.5639487 [1] "Iteration 928 of 1000:" [1] 0.5220459 [1] "Iteration 929 of 1000:" [1] 0.5088613 [1] "Iteration 930 of 1000:" [1] 0.5544717 [1] "Iteration 931 of 1000:" [1] 0.517636 [1] "Iteration 932 of 1000:" [1] 0.5287809 [1] "Iteration 933 of 1000:" [1] 0.5615881 [1] "Iteration 934 of 1000:" [1] 0.5050021 [1] "Iteration 935 of 1000:" [1] 0.5341788 [1] "Iteration 936 of 1000:" [1] 0.5199818 [1] "Iteration 937 of 1000:" [1] 0.5445918 [1] "Iteration 938 of 1000:" [1] 0.5113041 [1] "Iteration 939 of 1000:" [1] 0.5259517 [1] "Iteration 940 of 1000:" [1] 0.5153506 [1] "Iteration 941 of 1000:" [1] 0.5259699 [1] "Iteration 942 of 1000:" [1] 0.5312047 [1] "Iteration 943 of 1000:" [1] 0.5241577 [1] "Iteration 944 of 1000:" [1] 0.5168046 [1] "Iteration 945 of 1000:" [1] 0.5364685 [1] "Iteration 946 of 1000:" [1] 0.5142814 [1] "Iteration 947 of 1000:" [1] 0.5098141 [1] "Iteration 948 of 1000:" [1] 0.5296105 [1] "Iteration 949 of 1000:" [1] 0.516731 [1] "Iteration 950 of 1000:" [1] 0.5557904 [1] "Iteration 951 of 1000:" [1] 0.5074735 [1] "Iteration 952 of 1000:" [1] 0.5174061 [1] "Iteration 953 of 1000:" [1] 0.511716 [1] "Iteration 954 of 1000:" [1] 0.5345424 [1] "Iteration 955 of 1000:" [1] 0.5373575 [1] "Iteration 956 of 1000:" [1] 0.4740264 [1] "Iteration 957 of 1000:" [1] 0.4901516 [1] "Iteration 958 of 1000:" [1] 0.5333361 [1] "Iteration 959 of 1000:" [1] 0.548921 [1] "Iteration 960 of 1000:" [1] 0.53798 [1] "Iteration 961 of 1000:" [1] 0.54559 [1] "Iteration 962 of 1000:" [1] 0.5167826 [1] "Iteration 963 of 1000:" [1] 0.504252 [1] "Iteration 964 of 1000:" [1] 0.5520132 [1] "Iteration 965 of 1000:" [1] 0.5727477 [1] "Iteration 966 of 1000:" [1] 0.5448692 [1] "Iteration 967 of 1000:" [1] 0.5135454 [1] "Iteration 968 of 1000:" [1] 0.5158763 [1] "Iteration 969 of 1000:" [1] 0.5272624 [1] "Iteration 970 of 1000:" [1] 0.499404 [1] "Iteration 971 of 1000:" [1] 0.5397911 [1] "Iteration 972 of 1000:" [1] 0.5439712 [1] "Iteration 973 of 1000:" [1] 0.5587416 [1] "Iteration 974 of 1000:" [1] 0.4906552 [1] "Iteration 975 of 1000:" [1] 0.5101145 [1] "Iteration 976 of 1000:" [1] 0.5151796 [1] "Iteration 977 of 1000:" [1] 0.5866705 [1] "Iteration 978 of 1000:" [1] 0.494113 [1] "Iteration 979 of 1000:" [1] 0.5232503 [1] "Iteration 980 of 1000:" [1] 0.5272099 [1] "Iteration 981 of 1000:" [1] 0.5260168 [1] "Iteration 982 of 1000:" [1] 0.5202568 [1] "Iteration 983 of 1000:" [1] 0.5105733 [1] "Iteration 984 of 1000:" [1] 0.5252129 [1] "Iteration 985 of 1000:" [1] 0.5416289 [1] "Iteration 986 of 1000:" [1] 0.5377867 [1] "Iteration 987 of 1000:" [1] 0.5060911 [1] "Iteration 988 of 1000:" [1] 0.5113465 [1] "Iteration 989 of 1000:" [1] 0.5255107 [1] "Iteration 990 of 1000:" [1] 0.548237 [1] "Iteration 991 of 1000:" [1] 0.5117264 [1] "Iteration 992 of 1000:" [1] 0.5115461 [1] "Iteration 993 of 1000:" [1] 0.4901894 [1] "Iteration 994 of 1000:" [1] 0.5113776 [1] "Iteration 995 of 1000:" [1] 0.4926192 [1] "Iteration 996 of 1000:" [1] 0.5584174 [1] "Iteration 997 of 1000:" [1] 0.5243681 [1] "Iteration 998 of 1000:" [1] 0.4872645 [1] "Iteration 999 of 1000:" [1] 0.5467734 [1] "Iteration 1000 of 1000:" [1] 0.5086855 [1] "Iteration 1 of 1000:" [1] 0.9878653 [1] "Iteration 2 of 1000:" [1] 0.9850432 [1] "Iteration 3 of 1000:" [1] 0.9890268 [1] "Iteration 4 of 1000:" [1] 0.986261 [1] "Iteration 5 of 1000:" [1] 0.9876955 [1] "Iteration 6 of 1000:" [1] 0.9868813 [1] "Iteration 7 of 1000:" [1] 0.9890055 [1] "Iteration 8 of 1000:" [1] 0.9876148 [1] "Iteration 9 of 1000:" [1] 0.9874864 [1] "Iteration 10 of 1000:" [1] 0.9853305 [1] "Iteration 11 of 1000:" [1] 0.9873874 [1] "Iteration 12 of 1000:" [1] 0.9863867 [1] "Iteration 13 of 1000:" [1] 0.9866121 [1] "Iteration 14 of 1000:" [1] 0.9877021 [1] "Iteration 15 of 1000:" [1] 0.988244 [1] "Iteration 16 of 1000:" [1] 0.9856956 [1] "Iteration 17 of 1000:" [1] 0.9870032 [1] "Iteration 18 of 1000:" [1] 0.9851856 [1] "Iteration 19 of 1000:" [1] 0.9891799 [1] "Iteration 20 of 1000:" [1] 0.9887467 [1] "Iteration 21 of 1000:" [1] 0.9857479 [1] "Iteration 22 of 1000:" [1] 0.9866319 [1] "Iteration 23 of 1000:" [1] 0.9879364 [1] "Iteration 24 of 1000:" [1] 0.988079 [1] "Iteration 25 of 1000:" [1] 0.98804 [1] "Iteration 26 of 1000:" [1] 0.9873154 [1] "Iteration 27 of 1000:" [1] 0.9855165 [1] "Iteration 28 of 1000:" [1] 0.9877525 [1] "Iteration 29 of 1000:" [1] 0.9872497 [1] "Iteration 30 of 1000:" [1] 0.9871427 [1] "Iteration 31 of 1000:" [1] 0.9864468 [1] "Iteration 32 of 1000:" [1] 0.9861009 [1] "Iteration 33 of 1000:" [1] 0.9876603 [1] "Iteration 34 of 1000:" [1] 0.9879322 [1] "Iteration 35 of 1000:" [1] 0.9875507 [1] "Iteration 36 of 1000:" [1] 0.987838 [1] "Iteration 37 of 1000:" [1] 0.9868192 [1] "Iteration 38 of 1000:" [1] 0.987326 [1] "Iteration 39 of 1000:" [1] 0.9864209 [1] "Iteration 40 of 1000:" [1] 0.9868977 [1] "Iteration 41 of 1000:" [1] 0.9873005 [1] "Iteration 42 of 1000:" [1] 0.9860387 [1] "Iteration 43 of 1000:" [1] 0.9861229 [1] "Iteration 44 of 1000:" [1] 0.9843901 [1] "Iteration 45 of 1000:" [1] 0.9871466 [1] "Iteration 46 of 1000:" [1] 0.9882667 [1] "Iteration 47 of 1000:" [1] 0.985897 [1] "Iteration 48 of 1000:" [1] 0.9874595 [1] "Iteration 49 of 1000:" [1] 0.987513 [1] "Iteration 50 of 1000:" [1] 0.9887457 [1] "Iteration 51 of 1000:" [1] 0.9850629 [1] "Iteration 52 of 1000:" [1] 0.9851761 [1] "Iteration 53 of 1000:" [1] 0.9868823 [1] "Iteration 54 of 1000:" [1] 0.9873494 [1] "Iteration 55 of 1000:" [1] 0.9876685 [1] "Iteration 56 of 1000:" [1] 0.9853153 [1] "Iteration 57 of 1000:" [1] 0.9875189 [1] "Iteration 58 of 1000:" [1] 0.9872399 [1] "Iteration 59 of 1000:" [1] 0.9874461 [1] "Iteration 60 of 1000:" [1] 0.9868826 [1] "Iteration 61 of 1000:" [1] 0.9867159 [1] "Iteration 62 of 1000:" [1] 0.9856218 [1] "Iteration 63 of 1000:" [1] 0.9855662 [1] "Iteration 64 of 1000:" [1] 0.9843342 [1] "Iteration 65 of 1000:" [1] 0.9873814 [1] "Iteration 66 of 1000:" [1] 0.9886701 [1] "Iteration 67 of 1000:" [1] 0.984264 [1] "Iteration 68 of 1000:" [1] 0.9847232 [1] "Iteration 69 of 1000:" [1] 0.9876458 [1] "Iteration 70 of 1000:" [1] 0.9876976 [1] "Iteration 71 of 1000:" [1] 0.986043 [1] "Iteration 72 of 1000:" [1] 0.9875342 [1] "Iteration 73 of 1000:" [1] 0.9887782 [1] "Iteration 74 of 1000:" [1] 0.9844077 [1] "Iteration 75 of 1000:" [1] 0.9855367 [1] "Iteration 76 of 1000:" [1] 0.9856649 [1] "Iteration 77 of 1000:" [1] 0.9871311 [1] "Iteration 78 of 1000:" [1] 0.9872577 [1] "Iteration 79 of 1000:" [1] 0.9877304 [1] "Iteration 80 of 1000:" [1] 0.9870321 [1] "Iteration 81 of 1000:" [1] 0.9875273 [1] "Iteration 82 of 1000:" [1] 0.9873266 [1] "Iteration 83 of 1000:" [1] 0.9854273 [1] "Iteration 84 of 1000:" [1] 0.9854527 [1] "Iteration 85 of 1000:" [1] 0.9860396 [1] "Iteration 86 of 1000:" [1] 0.9873092 [1] "Iteration 87 of 1000:" [1] 0.985846 [1] "Iteration 88 of 1000:" [1] 0.9858844 [1] "Iteration 89 of 1000:" [1] 0.9885883 [1] "Iteration 90 of 1000:" [1] 0.9879668 [1] "Iteration 91 of 1000:" [1] 0.9873597 [1] "Iteration 92 of 1000:" [1] 0.9879988 [1] "Iteration 93 of 1000:" [1] 0.9874632 [1] "Iteration 94 of 1000:" [1] 0.9857273 [1] "Iteration 95 of 1000:" [1] 0.9845028 [1] "Iteration 96 of 1000:" [1] 0.9862966 [1] "Iteration 97 of 1000:" [1] 0.9874056 [1] "Iteration 98 of 1000:" [1] 0.9874335 [1] "Iteration 99 of 1000:" [1] 0.9889037 [1] "Iteration 100 of 1000:" [1] 0.9875026 [1] "Iteration 101 of 1000:" [1] 0.9859838 [1] "Iteration 102 of 1000:" [1] 0.9861406 [1] "Iteration 103 of 1000:" [1] 0.9877092 [1] "Iteration 104 of 1000:" [1] 0.9861421 [1] "Iteration 105 of 1000:" [1] 0.9858993 [1] "Iteration 106 of 1000:" [1] 0.9871453 [1] "Iteration 107 of 1000:" [1] 0.9874666 [1] "Iteration 108 of 1000:" [1] 0.9877287 [1] "Iteration 109 of 1000:" [1] 0.9873072 [1] "Iteration 110 of 1000:" [1] 0.9879166 [1] "Iteration 111 of 1000:" [1] 0.9864884 [1] "Iteration 112 of 1000:" [1] 0.9876107 [1] "Iteration 113 of 1000:" [1] 0.986226 [1] "Iteration 114 of 1000:" [1] 0.9871844 [1] "Iteration 115 of 1000:" [1] 0.986899 [1] "Iteration 116 of 1000:" [1] 0.9852002 [1] "Iteration 117 of 1000:" [1] 0.9879348 [1] "Iteration 118 of 1000:" [1] 0.9881626 [1] "Iteration 119 of 1000:" [1] 0.9872219 [1] "Iteration 120 of 1000:" [1] 0.9857407 [1] "Iteration 121 of 1000:" [1] 0.9855617 [1] "Iteration 122 of 1000:" [1] 0.9873672 [1] "Iteration 123 of 1000:" [1] 0.9880336 [1] "Iteration 124 of 1000:" [1] 0.9879564 [1] "Iteration 125 of 1000:" [1] 0.9878942 [1] "Iteration 126 of 1000:" [1] 0.9847361 [1] "Iteration 127 of 1000:" [1] 0.9872647 [1] "Iteration 128 of 1000:" [1] 0.9860092 [1] "Iteration 129 of 1000:" [1] 0.9858821 [1] "Iteration 130 of 1000:" [1] 0.9875583 [1] "Iteration 131 of 1000:" [1] 0.9867991 [1] "Iteration 132 of 1000:" [1] 0.9876124 [1] "Iteration 133 of 1000:" [1] 0.985989 [1] "Iteration 134 of 1000:" [1] 0.9871751 [1] "Iteration 135 of 1000:" [1] 0.9876371 [1] "Iteration 136 of 1000:" [1] 0.9875195 [1] "Iteration 137 of 1000:" [1] 0.9876124 [1] "Iteration 138 of 1000:" [1] 0.9863713 [1] "Iteration 139 of 1000:" [1] 0.9873841 [1] "Iteration 140 of 1000:" [1] 0.988434 [1] "Iteration 141 of 1000:" [1] 0.987516 [1] "Iteration 142 of 1000:" [1] 0.9868044 [1] "Iteration 143 of 1000:" [1] 0.9878493 [1] "Iteration 144 of 1000:" [1] 0.9868693 [1] "Iteration 145 of 1000:" [1] 0.9860222 [1] "Iteration 146 of 1000:" [1] 0.9850767 [1] "Iteration 147 of 1000:" [1] 0.9864796 [1] "Iteration 148 of 1000:" [1] 0.9875601 [1] "Iteration 149 of 1000:" [1] 0.9877353 [1] "Iteration 150 of 1000:" [1] 0.986313 [1] "Iteration 151 of 1000:" [1] 0.9887552 [1] "Iteration 152 of 1000:" [1] 0.9873557 [1] "Iteration 153 of 1000:" [1] 0.9875952 [1] "Iteration 154 of 1000:" [1] 0.9848809 [1] "Iteration 155 of 1000:" [1] 0.9855604 [1] "Iteration 156 of 1000:" [1] 0.9875329 [1] "Iteration 157 of 1000:" [1] 0.9852034 [1] "Iteration 158 of 1000:" [1] 0.9857454 [1] "Iteration 159 of 1000:" [1] 0.9878644 [1] "Iteration 160 of 1000:" [1] 0.9857 [1] "Iteration 161 of 1000:" [1] 0.988541 [1] "Iteration 162 of 1000:" [1] 0.9867099 [1] "Iteration 163 of 1000:" [1] 0.987449 [1] "Iteration 164 of 1000:" [1] 0.9873255 [1] "Iteration 165 of 1000:" [1] 0.9871682 [1] "Iteration 166 of 1000:" [1] 0.985479 [1] "Iteration 167 of 1000:" [1] 0.987273 [1] "Iteration 168 of 1000:" [1] 0.9849736 [1] "Iteration 169 of 1000:" [1] 0.9868337 [1] "Iteration 170 of 1000:" [1] 0.9850401 [1] "Iteration 171 of 1000:" [1] 0.9871662 [1] "Iteration 172 of 1000:" [1] 0.9875757 [1] "Iteration 173 of 1000:" [1] 0.9874647 [1] "Iteration 174 of 1000:" [1] 0.9846942 [1] "Iteration 175 of 1000:" [1] 0.9858864 [1] "Iteration 176 of 1000:" [1] 0.985468 [1] "Iteration 177 of 1000:" [1] 0.9879525 [1] "Iteration 178 of 1000:" [1] 0.9877277 [1] "Iteration 179 of 1000:" [1] 0.9874608 [1] "Iteration 180 of 1000:" [1] 0.9865946 [1] "Iteration 181 of 1000:" [1] 0.9877023 [1] "Iteration 182 of 1000:" [1] 0.9873709 [1] "Iteration 183 of 1000:" [1] 0.9856966 [1] "Iteration 184 of 1000:" [1] 0.9886569 [1] "Iteration 185 of 1000:" [1] 0.9883256 [1] "Iteration 186 of 1000:" [1] 0.9861813 [1] "Iteration 187 of 1000:" [1] 0.9877024 [1] "Iteration 188 of 1000:" [1] 0.9871927 [1] "Iteration 189 of 1000:" [1] 0.9890734 [1] "Iteration 190 of 1000:" [1] 0.9854203 [1] "Iteration 191 of 1000:" [1] 0.9872647 [1] "Iteration 192 of 1000:" [1] 0.9853881 [1] "Iteration 193 of 1000:" [1] 0.9861106 [1] "Iteration 194 of 1000:" [1] 0.9874933 [1] "Iteration 195 of 1000:" [1] 0.9878338 [1] "Iteration 196 of 1000:" [1] 0.9868303 [1] "Iteration 197 of 1000:" [1] 0.9848997 [1] "Iteration 198 of 1000:" [1] 0.9879115 [1] "Iteration 199 of 1000:" [1] 0.9873784 [1] "Iteration 200 of 1000:" [1] 0.9870868 [1] "Iteration 201 of 1000:" [1] 0.9863464 [1] "Iteration 202 of 1000:" [1] 0.9890369 [1] "Iteration 203 of 1000:" [1] 0.9874136 [1] "Iteration 204 of 1000:" [1] 0.985319 [1] "Iteration 205 of 1000:" [1] 0.9877402 [1] "Iteration 206 of 1000:" [1] 0.9847166 [1] "Iteration 207 of 1000:" [1] 0.9877463 [1] "Iteration 208 of 1000:" [1] 0.988851 [1] "Iteration 209 of 1000:" [1] 0.9858303 [1] "Iteration 210 of 1000:" [1] 0.9853317 [1] "Iteration 211 of 1000:" [1] 0.9851935 [1] "Iteration 212 of 1000:" [1] 0.9880785 [1] "Iteration 213 of 1000:" [1] 0.9866575 [1] "Iteration 214 of 1000:" [1] 0.9867637 [1] "Iteration 215 of 1000:" [1] 0.9871788 [1] "Iteration 216 of 1000:" [1] 0.9880074 [1] "Iteration 217 of 1000:" [1] 0.9858465 [1] "Iteration 218 of 1000:" [1] 0.9883068 [1] "Iteration 219 of 1000:" [1] 0.9848427 [1] "Iteration 220 of 1000:" [1] 0.9870564 [1] "Iteration 221 of 1000:" [1] 0.9875748 [1] "Iteration 222 of 1000:" [1] 0.9846152 [1] "Iteration 223 of 1000:" [1] 0.9870394 [1] "Iteration 224 of 1000:" [1] 0.9874987 [1] "Iteration 225 of 1000:" [1] 0.988069 [1] "Iteration 226 of 1000:" [1] 0.9873019 [1] "Iteration 227 of 1000:" [1] 0.9848172 [1] "Iteration 228 of 1000:" [1] 0.9866216 [1] "Iteration 229 of 1000:" [1] 0.9861911 [1] "Iteration 230 of 1000:" [1] 0.985864 [1] "Iteration 231 of 1000:" [1] 0.9871665 [1] "Iteration 232 of 1000:" [1] 0.9873829 [1] "Iteration 233 of 1000:" [1] 0.9877885 [1] "Iteration 234 of 1000:" [1] 0.9859873 [1] "Iteration 235 of 1000:" [1] 0.9879505 [1] "Iteration 236 of 1000:" [1] 0.987244 [1] "Iteration 237 of 1000:" [1] 0.9858525 [1] "Iteration 238 of 1000:" [1] 0.9871642 [1] "Iteration 239 of 1000:" [1] 0.9863722 [1] "Iteration 240 of 1000:" [1] 0.9878436 [1] "Iteration 241 of 1000:" [1] 0.9888366 [1] "Iteration 242 of 1000:" [1] 0.9869934 [1] "Iteration 243 of 1000:" [1] 0.9878372 [1] "Iteration 244 of 1000:" [1] 0.9870645 [1] "Iteration 245 of 1000:" [1] 0.9877071 [1] "Iteration 246 of 1000:" [1] 0.9875854 [1] "Iteration 247 of 1000:" [1] 0.9878284 [1] "Iteration 248 of 1000:" [1] 0.9873494 [1] "Iteration 249 of 1000:" [1] 0.985745 [1] "Iteration 250 of 1000:" [1] 0.985602 [1] "Iteration 251 of 1000:" [1] 0.9869398 [1] "Iteration 252 of 1000:" [1] 0.9874618 [1] "Iteration 253 of 1000:" [1] 0.9873707 [1] "Iteration 254 of 1000:" [1] 0.9888753 [1] "Iteration 255 of 1000:" [1] 0.9861193 [1] "Iteration 256 of 1000:" [1] 0.9879211 [1] "Iteration 257 of 1000:" [1] 0.9877724 [1] "Iteration 258 of 1000:" [1] 0.9844474 [1] "Iteration 259 of 1000:" [1] 0.9847698 [1] "Iteration 260 of 1000:" [1] 0.9888433 [1] "Iteration 261 of 1000:" [1] 0.9873944 [1] "Iteration 262 of 1000:" [1] 0.9856032 [1] "Iteration 263 of 1000:" [1] 0.9877191 [1] "Iteration 264 of 1000:" [1] 0.9878775 [1] "Iteration 265 of 1000:" [1] 0.9872142 [1] "Iteration 266 of 1000:" [1] 0.9871162 [1] "Iteration 267 of 1000:" [1] 0.9878242 [1] "Iteration 268 of 1000:" [1] 0.9891235 [1] "Iteration 269 of 1000:" [1] 0.9875258 [1] "Iteration 270 of 1000:" [1] 0.9874047 [1] "Iteration 271 of 1000:" [1] 0.9860283 [1] "Iteration 272 of 1000:" [1] 0.9866194 [1] "Iteration 273 of 1000:" [1] 0.9879741 [1] "Iteration 274 of 1000:" [1] 0.9880285 [1] "Iteration 275 of 1000:" [1] 0.9849751 [1] "Iteration 276 of 1000:" [1] 0.9874318 [1] "Iteration 277 of 1000:" [1] 0.9875204 [1] "Iteration 278 of 1000:" [1] 0.9877848 [1] "Iteration 279 of 1000:" [1] 0.9873679 [1] "Iteration 280 of 1000:" [1] 0.9890679 [1] "Iteration 281 of 1000:" [1] 0.9854658 [1] "Iteration 282 of 1000:" [1] 0.9852811 [1] "Iteration 283 of 1000:" [1] 0.9849787 [1] "Iteration 284 of 1000:" [1] 0.9871237 [1] "Iteration 285 of 1000:" [1] 0.9858293 [1] "Iteration 286 of 1000:" [1] 0.9868745 [1] "Iteration 287 of 1000:" [1] 0.9858834 [1] "Iteration 288 of 1000:" [1] 0.9863697 [1] "Iteration 289 of 1000:" [1] 0.9876444 [1] "Iteration 290 of 1000:" [1] 0.9873588 [1] "Iteration 291 of 1000:" [1] 0.9867366 [1] "Iteration 292 of 1000:" [1] 0.987815 [1] "Iteration 293 of 1000:" [1] 0.9857084 [1] "Iteration 294 of 1000:" [1] 0.9848639 [1] "Iteration 295 of 1000:" [1] 0.987758 [1] "Iteration 296 of 1000:" [1] 0.9877065 [1] "Iteration 297 of 1000:" [1] 0.9857291 [1] "Iteration 298 of 1000:" [1] 0.9879477 [1] "Iteration 299 of 1000:" [1] 0.9853099 [1] "Iteration 300 of 1000:" [1] 0.9871174 [1] "Iteration 301 of 1000:" [1] 0.9851031 [1] "Iteration 302 of 1000:" [1] 0.9873986 [1] "Iteration 303 of 1000:" [1] 0.9889517 [1] "Iteration 304 of 1000:" [1] 0.9876464 [1] "Iteration 305 of 1000:" [1] 0.988682 [1] "Iteration 306 of 1000:" [1] 0.9867526 [1] "Iteration 307 of 1000:" [1] 0.9879333 [1] "Iteration 308 of 1000:" [1] 0.987182 [1] "Iteration 309 of 1000:" [1] 0.9873087 [1] "Iteration 310 of 1000:" [1] 0.9859006 [1] "Iteration 311 of 1000:" [1] 0.9858332 [1] "Iteration 312 of 1000:" [1] 0.9875077 [1] "Iteration 313 of 1000:" [1] 0.9862853 [1] "Iteration 314 of 1000:" [1] 0.9873494 [1] "Iteration 315 of 1000:" [1] 0.9876233 [1] "Iteration 316 of 1000:" [1] 0.9871499 [1] "Iteration 317 of 1000:" [1] 0.9871054 [1] "Iteration 318 of 1000:" [1] 0.9875336 [1] "Iteration 319 of 1000:" [1] 0.9856563 [1] "Iteration 320 of 1000:" [1] 0.9861872 [1] "Iteration 321 of 1000:" [1] 0.9875133 [1] "Iteration 322 of 1000:" [1] 0.9875951 [1] "Iteration 323 of 1000:" [1] 0.987689 [1] "Iteration 324 of 1000:" [1] 0.9848175 [1] "Iteration 325 of 1000:" [1] 0.9878279 [1] "Iteration 326 of 1000:" [1] 0.9875832 [1] "Iteration 327 of 1000:" [1] 0.9859017 [1] "Iteration 328 of 1000:" [1] 0.9881714 [1] "Iteration 329 of 1000:" [1] 0.9871332 [1] "Iteration 330 of 1000:" [1] 0.9883724 [1] "Iteration 331 of 1000:" [1] 0.9860436 [1] "Iteration 332 of 1000:" [1] 0.987279 [1] "Iteration 333 of 1000:" [1] 0.9879671 [1] "Iteration 334 of 1000:" [1] 0.9847464 [1] "Iteration 335 of 1000:" [1] 0.9872712 [1] "Iteration 336 of 1000:" [1] 0.984935 [1] "Iteration 337 of 1000:" [1] 0.9847888 [1] "Iteration 338 of 1000:" [1] 0.9856568 [1] "Iteration 339 of 1000:" [1] 0.9877103 [1] "Iteration 340 of 1000:" [1] 0.9872737 [1] "Iteration 341 of 1000:" [1] 0.9865871 [1] "Iteration 342 of 1000:" [1] 0.9872806 [1] "Iteration 343 of 1000:" [1] 0.9873494 [1] "Iteration 344 of 1000:" [1] 0.9866086 [1] "Iteration 345 of 1000:" [1] 0.9872364 [1] "Iteration 346 of 1000:" [1] 0.9858575 [1] "Iteration 347 of 1000:" [1] 0.9858073 [1] "Iteration 348 of 1000:" [1] 0.9874608 [1] "Iteration 349 of 1000:" [1] 0.987341 [1] "Iteration 350 of 1000:" [1] 0.9855674 [1] "Iteration 351 of 1000:" [1] 0.9878371 [1] "Iteration 352 of 1000:" [1] 0.9872375 [1] "Iteration 353 of 1000:" [1] 0.9875189 [1] "Iteration 354 of 1000:" [1] 0.985814 [1] "Iteration 355 of 1000:" [1] 0.985664 [1] "Iteration 356 of 1000:" [1] 0.9856903 [1] "Iteration 357 of 1000:" [1] 0.9871811 [1] "Iteration 358 of 1000:" [1] 0.9866251 [1] "Iteration 359 of 1000:" [1] 0.9873031 [1] "Iteration 360 of 1000:" [1] 0.9877053 [1] "Iteration 361 of 1000:" [1] 0.9876885 [1] "Iteration 362 of 1000:" [1] 0.9874979 [1] "Iteration 363 of 1000:" [1] 0.9873341 [1] "Iteration 364 of 1000:" [1] 0.98615 [1] "Iteration 365 of 1000:" [1] 0.9860797 [1] "Iteration 366 of 1000:" [1] 0.9853845 [1] "Iteration 367 of 1000:" [1] 0.986702 [1] "Iteration 368 of 1000:" [1] 0.9876858 [1] "Iteration 369 of 1000:" [1] 0.9872603 [1] "Iteration 370 of 1000:" [1] 0.9875961 [1] "Iteration 371 of 1000:" [1] 0.9871761 [1] "Iteration 372 of 1000:" [1] 0.9877209 [1] "Iteration 373 of 1000:" [1] 0.9875194 [1] "Iteration 374 of 1000:" [1] 0.9860161 [1] "Iteration 375 of 1000:" [1] 0.9861634 [1] "Iteration 376 of 1000:" [1] 0.9876817 [1] "Iteration 377 of 1000:" [1] 0.9873653 [1] "Iteration 378 of 1000:" [1] 0.9860847 [1] "Iteration 379 of 1000:" [1] 0.9871912 [1] "Iteration 380 of 1000:" [1] 0.9873494 [1] "Iteration 381 of 1000:" [1] 0.9851747 [1] "Iteration 382 of 1000:" [1] 0.9865092 [1] "Iteration 383 of 1000:" [1] 0.9857543 [1] "Iteration 384 of 1000:" [1] 0.9874951 [1] "Iteration 385 of 1000:" [1] 0.9863767 [1] "Iteration 386 of 1000:" [1] 0.9869027 [1] "Iteration 387 of 1000:" [1] 0.9856386 [1] "Iteration 388 of 1000:" [1] 0.9850415 [1] "Iteration 389 of 1000:" [1] 0.9869766 [1] "Iteration 390 of 1000:" [1] 0.9856471 [1] "Iteration 391 of 1000:" [1] 0.987907 [1] "Iteration 392 of 1000:" [1] 0.9854909 [1] "Iteration 393 of 1000:" [1] 0.9870892 [1] "Iteration 394 of 1000:" [1] 0.9874933 [1] "Iteration 395 of 1000:" [1] 0.9871894 [1] "Iteration 396 of 1000:" [1] 0.9877926 [1] "Iteration 397 of 1000:" [1] 0.9872375 [1] "Iteration 398 of 1000:" [1] 0.9877089 [1] "Iteration 399 of 1000:" [1] 0.9870333 [1] "Iteration 400 of 1000:" [1] 0.9875232 [1] "Iteration 401 of 1000:" [1] 0.9858947 [1] "Iteration 402 of 1000:" [1] 0.987013 [1] "Iteration 403 of 1000:" [1] 0.98589 [1] "Iteration 404 of 1000:" [1] 0.9867924 [1] "Iteration 405 of 1000:" [1] 0.9876167 [1] "Iteration 406 of 1000:" [1] 0.9870902 [1] "Iteration 407 of 1000:" [1] 0.988074 [1] "Iteration 408 of 1000:" [1] 0.9852468 [1] "Iteration 409 of 1000:" [1] 0.987549 [1] "Iteration 410 of 1000:" [1] 0.9880154 [1] "Iteration 411 of 1000:" [1] 0.9877939 [1] "Iteration 412 of 1000:" [1] 0.9873494 [1] "Iteration 413 of 1000:" [1] 0.9862716 [1] "Iteration 414 of 1000:" [1] 0.9874773 [1] "Iteration 415 of 1000:" [1] 0.988852 [1] "Iteration 416 of 1000:" [1] 0.9871082 [1] "Iteration 417 of 1000:" [1] 0.9872411 [1] "Iteration 418 of 1000:" [1] 0.9877325 [1] "Iteration 419 of 1000:" [1] 0.9871445 [1] "Iteration 420 of 1000:" [1] 0.9871547 [1] "Iteration 421 of 1000:" [1] 0.9874771 [1] "Iteration 422 of 1000:" [1] 0.9855774 [1] "Iteration 423 of 1000:" [1] 0.9875564 [1] "Iteration 424 of 1000:" [1] 0.9848669 [1] "Iteration 425 of 1000:" [1] 0.98721 [1] "Iteration 426 of 1000:" [1] 0.9881949 [1] "Iteration 427 of 1000:" [1] 0.9862091 [1] "Iteration 428 of 1000:" [1] 0.9872761 [1] "Iteration 429 of 1000:" [1] 0.9870179 [1] "Iteration 430 of 1000:" [1] 0.9853532 [1] "Iteration 431 of 1000:" [1] 0.9882509 [1] "Iteration 432 of 1000:" [1] 0.9850862 [1] "Iteration 433 of 1000:" [1] 0.9880712 [1] "Iteration 434 of 1000:" [1] 0.9879968 [1] "Iteration 435 of 1000:" [1] 0.9858774 [1] "Iteration 436 of 1000:" [1] 0.9867104 [1] "Iteration 437 of 1000:" [1] 0.9847869 [1] "Iteration 438 of 1000:" [1] 0.9877688 [1] "Iteration 439 of 1000:" [1] 0.9887328 [1] "Iteration 440 of 1000:" [1] 0.9859809 [1] "Iteration 441 of 1000:" [1] 0.9865335 [1] "Iteration 442 of 1000:" [1] 0.9878209 [1] "Iteration 443 of 1000:" [1] 0.9856575 [1] "Iteration 444 of 1000:" [1] 0.9871359 [1] "Iteration 445 of 1000:" [1] 0.987849 [1] "Iteration 446 of 1000:" [1] 0.9826896 [1] "Iteration 447 of 1000:" [1] 0.9882548 [1] "Iteration 448 of 1000:" [1] 0.9870032 [1] "Iteration 449 of 1000:" [1] 0.9867143 [1] "Iteration 450 of 1000:" [1] 0.9872206 [1] "Iteration 451 of 1000:" [1] 0.9880126 [1] "Iteration 452 of 1000:" [1] 0.9854439 [1] "Iteration 453 of 1000:" [1] 0.9875696 [1] "Iteration 454 of 1000:" [1] 0.9874037 [1] "Iteration 455 of 1000:" [1] 0.9881259 [1] "Iteration 456 of 1000:" [1] 0.9877533 [1] "Iteration 457 of 1000:" [1] 0.9872685 [1] "Iteration 458 of 1000:" [1] 0.9858844 [1] "Iteration 459 of 1000:" [1] 0.986866 [1] "Iteration 460 of 1000:" [1] 0.9870889 [1] "Iteration 461 of 1000:" [1] 0.9871383 [1] "Iteration 462 of 1000:" [1] 0.9876586 [1] "Iteration 463 of 1000:" [1] 0.9876955 [1] "Iteration 464 of 1000:" [1] 0.9872886 [1] "Iteration 465 of 1000:" [1] 0.9855917 [1] "Iteration 466 of 1000:" [1] 0.9868781 [1] "Iteration 467 of 1000:" [1] 0.9873387 [1] "Iteration 468 of 1000:" [1] 0.9877634 [1] "Iteration 469 of 1000:" [1] 0.987806 [1] "Iteration 470 of 1000:" [1] 0.9877051 [1] "Iteration 471 of 1000:" [1] 0.9879324 [1] "Iteration 472 of 1000:" [1] 0.9878434 [1] "Iteration 473 of 1000:" [1] 0.9873267 [1] "Iteration 474 of 1000:" [1] 0.9859017 [1] "Iteration 475 of 1000:" [1] 0.984762 [1] "Iteration 476 of 1000:" [1] 0.9859619 [1] "Iteration 477 of 1000:" [1] 0.9876261 [1] "Iteration 478 of 1000:" [1] 0.9875048 [1] "Iteration 479 of 1000:" [1] 0.9861901 [1] "Iteration 480 of 1000:" [1] 0.9874456 [1] "Iteration 481 of 1000:" [1] 0.9850807 [1] "Iteration 482 of 1000:" [1] 0.9878836 [1] "Iteration 483 of 1000:" [1] 0.9860111 [1] "Iteration 484 of 1000:" [1] 0.9888487 [1] "Iteration 485 of 1000:" [1] 0.9875673 [1] "Iteration 486 of 1000:" [1] 0.9854331 [1] "Iteration 487 of 1000:" [1] 0.98524 [1] "Iteration 488 of 1000:" [1] 0.9855149 [1] "Iteration 489 of 1000:" [1] 0.9865736 [1] "Iteration 490 of 1000:" [1] 0.9869682 [1] "Iteration 491 of 1000:" [1] 0.9879161 [1] "Iteration 492 of 1000:" [1] 0.985811 [1] "Iteration 493 of 1000:" [1] 0.985728 [1] "Iteration 494 of 1000:" [1] 0.9854177 [1] "Iteration 495 of 1000:" [1] 0.9872674 [1] "Iteration 496 of 1000:" [1] 0.986701 [1] "Iteration 497 of 1000:" [1] 0.9853168 [1] "Iteration 498 of 1000:" [1] 0.9884966 [1] "Iteration 499 of 1000:" [1] 0.986504 [1] "Iteration 500 of 1000:" [1] 0.9861419 [1] "Iteration 501 of 1000:" [1] 0.9857346 [1] "Iteration 502 of 1000:" [1] 0.9866229 [1] "Iteration 503 of 1000:" [1] 0.986249 [1] "Iteration 504 of 1000:" [1] 0.9877158 [1] "Iteration 505 of 1000:" [1] 0.9853532 [1] "Iteration 506 of 1000:" [1] 0.9875872 [1] "Iteration 507 of 1000:" [1] 0.9858987 [1] "Iteration 508 of 1000:" [1] 0.9873948 [1] "Iteration 509 of 1000:" [1] 0.9873094 [1] "Iteration 510 of 1000:" [1] 0.9850183 [1] "Iteration 511 of 1000:" [1] 0.9859892 [1] "Iteration 512 of 1000:" [1] 0.9856744 [1] "Iteration 513 of 1000:" [1] 0.9877595 [1] "Iteration 514 of 1000:" [1] 0.9865836 [1] "Iteration 515 of 1000:" [1] 0.9872592 [1] "Iteration 516 of 1000:" [1] 0.9869721 [1] "Iteration 517 of 1000:" [1] 0.9876082 [1] "Iteration 518 of 1000:" [1] 0.9858613 [1] "Iteration 519 of 1000:" [1] 0.9873625 [1] "Iteration 520 of 1000:" [1] 0.9871736 [1] "Iteration 521 of 1000:" [1] 0.987849 [1] "Iteration 522 of 1000:" [1] 0.9875936 [1] "Iteration 523 of 1000:" [1] 0.9871951 [1] "Iteration 524 of 1000:" [1] 0.9846701 [1] "Iteration 525 of 1000:" [1] 0.9879828 [1] "Iteration 526 of 1000:" [1] 0.9847246 [1] "Iteration 527 of 1000:" [1] 0.9858249 [1] "Iteration 528 of 1000:" [1] 0.9856498 [1] "Iteration 529 of 1000:" [1] 0.9874158 [1] "Iteration 530 of 1000:" [1] 0.9890292 [1] "Iteration 531 of 1000:" [1] 0.9849469 [1] "Iteration 532 of 1000:" [1] 0.988996 [1] "Iteration 533 of 1000:" [1] 0.9881349 [1] "Iteration 534 of 1000:" [1] 0.9853105 [1] "Iteration 535 of 1000:" [1] 0.9861343 [1] "Iteration 536 of 1000:" [1] 0.9866323 [1] "Iteration 537 of 1000:" [1] 0.9876486 [1] "Iteration 538 of 1000:" [1] 0.9849145 [1] "Iteration 539 of 1000:" [1] 0.9868125 [1] "Iteration 540 of 1000:" [1] 0.986837 [1] "Iteration 541 of 1000:" [1] 0.9858951 [1] "Iteration 542 of 1000:" [1] 0.9853025 [1] "Iteration 543 of 1000:" [1] 0.9859224 [1] "Iteration 544 of 1000:" [1] 0.9877712 [1] "Iteration 545 of 1000:" [1] 0.9858601 [1] "Iteration 546 of 1000:" [1] 0.9866919 [1] "Iteration 547 of 1000:" [1] 0.9884936 [1] "Iteration 548 of 1000:" [1] 0.9849333 [1] "Iteration 549 of 1000:" [1] 0.9873792 [1] "Iteration 550 of 1000:" [1] 0.9846942 [1] "Iteration 551 of 1000:" [1] 0.98479 [1] "Iteration 552 of 1000:" [1] 0.9858162 [1] "Iteration 553 of 1000:" [1] 0.9856658 [1] "Iteration 554 of 1000:" [1] 0.9881353 [1] "Iteration 555 of 1000:" [1] 0.9879634 [1] "Iteration 556 of 1000:" [1] 0.98524 [1] "Iteration 557 of 1000:" [1] 0.9876112 [1] "Iteration 558 of 1000:" [1] 0.9884159 [1] "Iteration 559 of 1000:" [1] 0.9877026 [1] "Iteration 560 of 1000:" [1] 0.9872528 [1] "Iteration 561 of 1000:" [1] 0.9873255 [1] "Iteration 562 of 1000:" [1] 0.9874407 [1] "Iteration 563 of 1000:" [1] 0.9855774 [1] "Iteration 564 of 1000:" [1] 0.9868571 [1] "Iteration 565 of 1000:" [1] 0.9877304 [1] "Iteration 566 of 1000:" [1] 0.9876442 [1] "Iteration 567 of 1000:" [1] 0.9873731 [1] "Iteration 568 of 1000:" [1] 0.9874203 [1] "Iteration 569 of 1000:" [1] 0.9854658 [1] "Iteration 570 of 1000:" [1] 0.9860472 [1] "Iteration 571 of 1000:" [1] 0.9867607 [1] "Iteration 572 of 1000:" [1] 0.986259 [1] "Iteration 573 of 1000:" [1] 0.9876014 [1] "Iteration 574 of 1000:" [1] 0.9868735 [1] "Iteration 575 of 1000:" [1] 0.984438 [1] "Iteration 576 of 1000:" [1] 0.9866343 [1] "Iteration 577 of 1000:" [1] 0.9861006 [1] "Iteration 578 of 1000:" [1] 0.9868101 [1] "Iteration 579 of 1000:" [1] 0.9875058 [1] "Iteration 580 of 1000:" [1] 0.9869299 [1] "Iteration 581 of 1000:" [1] 0.9877541 [1] "Iteration 582 of 1000:" [1] 0.9877346 [1] "Iteration 583 of 1000:" [1] 0.986249 [1] "Iteration 584 of 1000:" [1] 0.9880477 [1] "Iteration 585 of 1000:" [1] 0.9852115 [1] "Iteration 586 of 1000:" [1] 0.9865905 [1] "Iteration 587 of 1000:" [1] 0.9873232 [1] "Iteration 588 of 1000:" [1] 0.9878173 [1] "Iteration 589 of 1000:" [1] 0.9859 [1] "Iteration 590 of 1000:" [1] 0.9860337 [1] "Iteration 591 of 1000:" [1] 0.9877583 [1] "Iteration 592 of 1000:" [1] 0.9879238 [1] "Iteration 593 of 1000:" [1] 0.9870438 [1] "Iteration 594 of 1000:" [1] 0.9860373 [1] "Iteration 595 of 1000:" [1] 0.9880327 [1] "Iteration 596 of 1000:" [1] 0.9877545 [1] "Iteration 597 of 1000:" [1] 0.9863487 [1] "Iteration 598 of 1000:" [1] 0.9876693 [1] "Iteration 599 of 1000:" [1] 0.9858803 [1] "Iteration 600 of 1000:" [1] 0.9875128 [1] "Iteration 601 of 1000:" [1] 0.9877631 [1] "Iteration 602 of 1000:" [1] 0.9877758 [1] "Iteration 603 of 1000:" [1] 0.9873108 [1] "Iteration 604 of 1000:" [1] 0.9851456 [1] "Iteration 605 of 1000:" [1] 0.985539 [1] "Iteration 606 of 1000:" [1] 0.9852672 [1] "Iteration 607 of 1000:" [1] 0.9873162 [1] "Iteration 608 of 1000:" [1] 0.9879742 [1] "Iteration 609 of 1000:" [1] 0.9884977 [1] "Iteration 610 of 1000:" [1] 0.98767 [1] "Iteration 611 of 1000:" [1] 0.9870153 [1] "Iteration 612 of 1000:" [1] 0.9871182 [1] "Iteration 613 of 1000:" [1] 0.9878676 [1] "Iteration 614 of 1000:" [1] 0.9881023 [1] "Iteration 615 of 1000:" [1] 0.986093 [1] "Iteration 616 of 1000:" [1] 0.988038 [1] "Iteration 617 of 1000:" [1] 0.9848698 [1] "Iteration 618 of 1000:" [1] 0.9846529 [1] "Iteration 619 of 1000:" [1] 0.9858162 [1] "Iteration 620 of 1000:" [1] 0.9858159 [1] "Iteration 621 of 1000:" [1] 0.9880676 [1] "Iteration 622 of 1000:" [1] 0.9860388 [1] "Iteration 623 of 1000:" [1] 0.9860593 [1] "Iteration 624 of 1000:" [1] 0.9875874 [1] "Iteration 625 of 1000:" [1] 0.9863253 [1] "Iteration 626 of 1000:" [1] 0.9861185 [1] "Iteration 627 of 1000:" [1] 0.9865773 [1] "Iteration 628 of 1000:" [1] 0.9861381 [1] "Iteration 629 of 1000:" [1] 0.9869297 [1] "Iteration 630 of 1000:" [1] 0.9873438 [1] "Iteration 631 of 1000:" [1] 0.987144 [1] "Iteration 632 of 1000:" [1] 0.9849498 [1] "Iteration 633 of 1000:" [1] 0.9856519 [1] "Iteration 634 of 1000:" [1] 0.9872513 [1] "Iteration 635 of 1000:" [1] 0.9859643 [1] "Iteration 636 of 1000:" [1] 0.9868137 [1] "Iteration 637 of 1000:" [1] 0.9857286 [1] "Iteration 638 of 1000:" [1] 0.9877173 [1] "Iteration 639 of 1000:" [1] 0.9876328 [1] "Iteration 640 of 1000:" [1] 0.986409 [1] "Iteration 641 of 1000:" [1] 0.9856189 [1] "Iteration 642 of 1000:" [1] 0.9881608 [1] "Iteration 643 of 1000:" [1] 0.9869375 [1] "Iteration 644 of 1000:" [1] 0.9850307 [1] "Iteration 645 of 1000:" [1] 0.9873986 [1] "Iteration 646 of 1000:" [1] 0.9873944 [1] "Iteration 647 of 1000:" [1] 0.9852535 [1] "Iteration 648 of 1000:" [1] 0.9875138 [1] "Iteration 649 of 1000:" [1] 0.9874643 [1] "Iteration 650 of 1000:" [1] 0.9857171 [1] "Iteration 651 of 1000:" [1] 0.988353 [1] "Iteration 652 of 1000:" [1] 0.9857786 [1] "Iteration 653 of 1000:" [1] 0.9870441 [1] "Iteration 654 of 1000:" [1] 0.9869148 [1] "Iteration 655 of 1000:" [1] 0.9858374 [1] "Iteration 656 of 1000:" [1] 0.9877316 [1] "Iteration 657 of 1000:" [1] 0.9871967 [1] "Iteration 658 of 1000:" [1] 0.9878215 [1] "Iteration 659 of 1000:" [1] 0.9863996 [1] "Iteration 660 of 1000:" [1] 0.9882344 [1] "Iteration 661 of 1000:" [1] 0.9868599 [1] "Iteration 662 of 1000:" [1] 0.9873685 [1] "Iteration 663 of 1000:" [1] 0.9871363 [1] "Iteration 664 of 1000:" [1] 0.9875325 [1] "Iteration 665 of 1000:" [1] 0.9875928 [1] "Iteration 666 of 1000:" [1] 0.9841157 [1] "Iteration 667 of 1000:" [1] 0.9867145 [1] "Iteration 668 of 1000:" [1] 0.9850946 [1] "Iteration 669 of 1000:" [1] 0.9874622 [1] "Iteration 670 of 1000:" [1] 0.9876785 [1] "Iteration 671 of 1000:" [1] 0.9865903 [1] "Iteration 672 of 1000:" [1] 0.9864248 [1] "Iteration 673 of 1000:" [1] 0.9867002 [1] "Iteration 674 of 1000:" [1] 0.9866878 [1] "Iteration 675 of 1000:" [1] 0.9879676 [1] "Iteration 676 of 1000:" [1] 0.9868413 [1] "Iteration 677 of 1000:" [1] 0.9857481 [1] "Iteration 678 of 1000:" [1] 0.9871447 [1] "Iteration 679 of 1000:" [1] 0.9852646 [1] "Iteration 680 of 1000:" [1] 0.9861712 [1] "Iteration 681 of 1000:" [1] 0.9874965 [1] "Iteration 682 of 1000:" [1] 0.9866791 [1] "Iteration 683 of 1000:" [1] 0.9872033 [1] "Iteration 684 of 1000:" [1] 0.9868257 [1] "Iteration 685 of 1000:" [1] 0.9877021 [1] "Iteration 686 of 1000:" [1] 0.987941 [1] "Iteration 687 of 1000:" [1] 0.9858618 [1] "Iteration 688 of 1000:" [1] 0.9848628 [1] "Iteration 689 of 1000:" [1] 0.9879634 [1] "Iteration 690 of 1000:" [1] 0.9863109 [1] "Iteration 691 of 1000:" [1] 0.9878071 [1] "Iteration 692 of 1000:" [1] 0.9851258 [1] "Iteration 693 of 1000:" [1] 0.9875057 [1] "Iteration 694 of 1000:" [1] 0.988238 [1] "Iteration 695 of 1000:" [1] 0.9865657 [1] "Iteration 696 of 1000:" [1] 0.9874501 [1] "Iteration 697 of 1000:" [1] 0.9848238 [1] "Iteration 698 of 1000:" [1] 0.9870507 [1] "Iteration 699 of 1000:" [1] 0.9860338 [1] "Iteration 700 of 1000:" [1] 0.9863301 [1] "Iteration 701 of 1000:" [1] 0.9876326 [1] "Iteration 702 of 1000:" [1] 0.9853925 [1] "Iteration 703 of 1000:" [1] 0.9868721 [1] "Iteration 704 of 1000:" [1] 0.9876517 [1] "Iteration 705 of 1000:" [1] 0.985462 [1] "Iteration 706 of 1000:" [1] 0.9851923 [1] "Iteration 707 of 1000:" [1] 0.9851023 [1] "Iteration 708 of 1000:" [1] 0.9858683 [1] "Iteration 709 of 1000:" [1] 0.9870097 [1] "Iteration 710 of 1000:" [1] 0.9858687 [1] "Iteration 711 of 1000:" [1] 0.9866674 [1] "Iteration 712 of 1000:" [1] 0.9867976 [1] "Iteration 713 of 1000:" [1] 0.986671 [1] "Iteration 714 of 1000:" [1] 0.9879465 [1] "Iteration 715 of 1000:" [1] 0.9863174 [1] "Iteration 716 of 1000:" [1] 0.9872013 [1] "Iteration 717 of 1000:" [1] 0.9873203 [1] "Iteration 718 of 1000:" [1] 0.9878075 [1] "Iteration 719 of 1000:" [1] 0.9880477 [1] "Iteration 720 of 1000:" [1] 0.9856988 [1] "Iteration 721 of 1000:" [1] 0.9848649 [1] "Iteration 722 of 1000:" [1] 0.9876766 [1] "Iteration 723 of 1000:" [1] 0.987868 [1] "Iteration 724 of 1000:" [1] 0.9875617 [1] "Iteration 725 of 1000:" [1] 0.9863789 [1] "Iteration 726 of 1000:" [1] 0.9858252 [1] "Iteration 727 of 1000:" [1] 0.98732 [1] "Iteration 728 of 1000:" [1] 0.9861764 [1] "Iteration 729 of 1000:" [1] 0.9876517 [1] "Iteration 730 of 1000:" [1] 0.9872461 [1] "Iteration 731 of 1000:" [1] 0.9864169 [1] "Iteration 732 of 1000:" [1] 0.987446 [1] "Iteration 733 of 1000:" [1] 0.9876867 [1] "Iteration 734 of 1000:" [1] 0.9845892 [1] "Iteration 735 of 1000:" [1] 0.9854972 [1] "Iteration 736 of 1000:" [1] 0.9845257 [1] "Iteration 737 of 1000:" [1] 0.9877794 [1] "Iteration 738 of 1000:" [1] 0.9870503 [1] "Iteration 739 of 1000:" [1] 0.9862512 [1] "Iteration 740 of 1000:" [1] 0.9873097 [1] "Iteration 741 of 1000:" [1] 0.9850844 [1] "Iteration 742 of 1000:" [1] 0.9879628 [1] "Iteration 743 of 1000:" [1] 0.9876145 [1] "Iteration 744 of 1000:" [1] 0.9860111 [1] "Iteration 745 of 1000:" [1] 0.9854272 [1] "Iteration 746 of 1000:" [1] 0.9851702 [1] "Iteration 747 of 1000:" [1] 0.9872906 [1] "Iteration 748 of 1000:" [1] 0.9858882 [1] "Iteration 749 of 1000:" [1] 0.9859205 [1] "Iteration 750 of 1000:" [1] 0.9866834 [1] "Iteration 751 of 1000:" [1] 0.9872342 [1] "Iteration 752 of 1000:" [1] 0.9860736 [1] "Iteration 753 of 1000:" [1] 0.9853395 [1] "Iteration 754 of 1000:" [1] 0.9859953 [1] "Iteration 755 of 1000:" [1] 0.9870315 [1] "Iteration 756 of 1000:" [1] 0.9859253 [1] "Iteration 757 of 1000:" [1] 0.9863743 [1] "Iteration 758 of 1000:" [1] 0.9873599 [1] "Iteration 759 of 1000:" [1] 0.9877892 [1] "Iteration 760 of 1000:" [1] 0.9890535 [1] "Iteration 761 of 1000:" [1] 0.9880117 [1] "Iteration 762 of 1000:" [1] 0.9869383 [1] "Iteration 763 of 1000:" [1] 0.9864158 [1] "Iteration 764 of 1000:" [1] 0.9872596 [1] "Iteration 765 of 1000:" [1] 0.9875735 [1] "Iteration 766 of 1000:" [1] 0.988048 [1] "Iteration 767 of 1000:" [1] 0.9850314 [1] "Iteration 768 of 1000:" [1] 0.9872665 [1] "Iteration 769 of 1000:" [1] 0.985535 [1] "Iteration 770 of 1000:" [1] 0.9879594 [1] "Iteration 771 of 1000:" [1] 0.9881329 [1] "Iteration 772 of 1000:" [1] 0.9881671 [1] "Iteration 773 of 1000:" [1] 0.9869027 [1] "Iteration 774 of 1000:" [1] 0.9856203 [1] "Iteration 775 of 1000:" [1] 0.9872922 [1] "Iteration 776 of 1000:" [1] 0.985018 [1] "Iteration 777 of 1000:" [1] 0.9870522 [1] "Iteration 778 of 1000:" [1] 0.9860646 [1] "Iteration 779 of 1000:" [1] 0.9872121 [1] "Iteration 780 of 1000:" [1] 0.9875258 [1] "Iteration 781 of 1000:" [1] 0.9848386 [1] "Iteration 782 of 1000:" [1] 0.987951 [1] "Iteration 783 of 1000:" [1] 0.9861404 [1] "Iteration 784 of 1000:" [1] 0.9862751 [1] "Iteration 785 of 1000:" [1] 0.9857955 [1] "Iteration 786 of 1000:" [1] 0.9870998 [1] "Iteration 787 of 1000:" [1] 0.9843764 [1] "Iteration 788 of 1000:" [1] 0.9872808 [1] "Iteration 789 of 1000:" [1] 0.9872173 [1] "Iteration 790 of 1000:" [1] 0.9851728 [1] "Iteration 791 of 1000:" [1] 0.9841119 [1] "Iteration 792 of 1000:" [1] 0.9876101 [1] "Iteration 793 of 1000:" [1] 0.9857744 [1] "Iteration 794 of 1000:" [1] 0.9880704 [1] "Iteration 795 of 1000:" [1] 0.9872878 [1] "Iteration 796 of 1000:" [1] 0.9858027 [1] "Iteration 797 of 1000:" [1] 0.9856927 [1] "Iteration 798 of 1000:" [1] 0.9868768 [1] "Iteration 799 of 1000:" [1] 0.9874821 [1] "Iteration 800 of 1000:" [1] 0.9859953 [1] "Iteration 801 of 1000:" [1] 0.9872833 [1] "Iteration 802 of 1000:" [1] 0.9878598 [1] "Iteration 803 of 1000:" [1] 0.9848559 [1] "Iteration 804 of 1000:" [1] 0.9872165 [1] "Iteration 805 of 1000:" [1] 0.9870818 [1] "Iteration 806 of 1000:" [1] 0.987825 [1] "Iteration 807 of 1000:" [1] 0.9884399 [1] "Iteration 808 of 1000:" [1] 0.9881377 [1] "Iteration 809 of 1000:" [1] 0.9875836 [1] "Iteration 810 of 1000:" [1] 0.9853326 [1] "Iteration 811 of 1000:" [1] 0.9879296 [1] "Iteration 812 of 1000:" [1] 0.986712 [1] "Iteration 813 of 1000:" [1] 0.987144 [1] "Iteration 814 of 1000:" [1] 0.9872592 [1] "Iteration 815 of 1000:" [1] 0.9866674 [1] "Iteration 816 of 1000:" [1] 0.9854656 [1] "Iteration 817 of 1000:" [1] 0.9872411 [1] "Iteration 818 of 1000:" [1] 0.9889878 [1] "Iteration 819 of 1000:" [1] 0.9871939 [1] "Iteration 820 of 1000:" [1] 0.9873525 [1] "Iteration 821 of 1000:" [1] 0.9870317 [1] "Iteration 822 of 1000:" [1] 0.9865332 [1] "Iteration 823 of 1000:" [1] 0.9878617 [1] "Iteration 824 of 1000:" [1] 0.986774 [1] "Iteration 825 of 1000:" [1] 0.987306 [1] "Iteration 826 of 1000:" [1] 0.9879744 [1] "Iteration 827 of 1000:" [1] 0.9888391 [1] "Iteration 828 of 1000:" [1] 0.9876822 [1] "Iteration 829 of 1000:" [1] 0.9881282 [1] "Iteration 830 of 1000:" [1] 0.9865221 [1] "Iteration 831 of 1000:" [1] 0.9876234 [1] "Iteration 832 of 1000:" [1] 0.9872669 [1] "Iteration 833 of 1000:" [1] 0.9855918 [1] "Iteration 834 of 1000:" [1] 0.9880176 [1] "Iteration 835 of 1000:" [1] 0.9878409 [1] "Iteration 836 of 1000:" [1] 0.9850658 [1] "Iteration 837 of 1000:" [1] 0.9859608 [1] "Iteration 838 of 1000:" [1] 0.9873652 [1] "Iteration 839 of 1000:" [1] 0.9875388 [1] "Iteration 840 of 1000:" [1] 0.9871837 [1] "Iteration 841 of 1000:" [1] 0.987015 [1] "Iteration 842 of 1000:" [1] 0.9871607 [1] "Iteration 843 of 1000:" [1] 0.9873622 [1] "Iteration 844 of 1000:" [1] 0.9874668 [1] "Iteration 845 of 1000:" [1] 0.9870682 [1] "Iteration 846 of 1000:" [1] 0.9857782 [1] "Iteration 847 of 1000:" [1] 0.985664 [1] "Iteration 848 of 1000:" [1] 0.9870063 [1] "Iteration 849 of 1000:" [1] 0.9870419 [1] "Iteration 850 of 1000:" [1] 0.9873438 [1] "Iteration 851 of 1000:" [1] 0.9861381 [1] "Iteration 852 of 1000:" [1] 0.9856676 [1] "Iteration 853 of 1000:" [1] 0.985756 [1] "Iteration 854 of 1000:" [1] 0.9871147 [1] "Iteration 855 of 1000:" [1] 0.9876013 [1] "Iteration 856 of 1000:" [1] 0.9856402 [1] "Iteration 857 of 1000:" [1] 0.9876625 [1] "Iteration 858 of 1000:" [1] 0.9850278 [1] "Iteration 859 of 1000:" [1] 0.9881559 [1] "Iteration 860 of 1000:" [1] 0.9873903 [1] "Iteration 861 of 1000:" [1] 0.9862403 [1] "Iteration 862 of 1000:" [1] 0.985535 [1] "Iteration 863 of 1000:" [1] 0.9878793 [1] "Iteration 864 of 1000:" [1] 0.9882906 [1] "Iteration 865 of 1000:" [1] 0.9877073 [1] "Iteration 866 of 1000:" [1] 0.9869691 [1] "Iteration 867 of 1000:" [1] 0.9870296 [1] "Iteration 868 of 1000:" [1] 0.9859498 [1] "Iteration 869 of 1000:" [1] 0.9878017 [1] "Iteration 870 of 1000:" [1] 0.9849761 [1] "Iteration 871 of 1000:" [1] 0.9878769 [1] "Iteration 872 of 1000:" [1] 0.985737 [1] "Iteration 873 of 1000:" [1] 0.9858515 [1] "Iteration 874 of 1000:" [1] 0.9867448 [1] "Iteration 875 of 1000:" [1] 0.9874623 [1] "Iteration 876 of 1000:" [1] 0.9871325 [1] "Iteration 877 of 1000:" [1] 0.9859182 [1] "Iteration 878 of 1000:" [1] 0.98524 [1] "Iteration 879 of 1000:" [1] 0.9873146 [1] "Iteration 880 of 1000:" [1] 0.9877768 [1] "Iteration 881 of 1000:" [1] 0.9866065 [1] "Iteration 882 of 1000:" [1] 0.9877113 [1] "Iteration 883 of 1000:" [1] 0.9871625 [1] "Iteration 884 of 1000:" [1] 0.9868937 [1] "Iteration 885 of 1000:" [1] 0.9874423 [1] "Iteration 886 of 1000:" [1] 0.9871759 [1] "Iteration 887 of 1000:" [1] 0.984767 [1] "Iteration 888 of 1000:" [1] 0.9874651 [1] "Iteration 889 of 1000:" [1] 0.9846644 [1] "Iteration 890 of 1000:" [1] 0.9878907 [1] "Iteration 891 of 1000:" [1] 0.9887282 [1] "Iteration 892 of 1000:" [1] 0.9873181 [1] "Iteration 893 of 1000:" [1] 0.9849745 [1] "Iteration 894 of 1000:" [1] 0.9855558 [1] "Iteration 895 of 1000:" [1] 0.9856117 [1] "Iteration 896 of 1000:" [1] 0.987767 [1] "Iteration 897 of 1000:" [1] 0.9876967 [1] "Iteration 898 of 1000:" [1] 0.98679 [1] "Iteration 899 of 1000:" [1] 0.9859015 [1] "Iteration 900 of 1000:" [1] 0.9878844 [1] "Iteration 901 of 1000:" [1] 0.9877361 [1] "Iteration 902 of 1000:" [1] 0.9880828 [1] "Iteration 903 of 1000:" [1] 0.9872102 [1] "Iteration 904 of 1000:" [1] 0.9864757 [1] "Iteration 905 of 1000:" [1] 0.9862415 [1] "Iteration 906 of 1000:" [1] 0.9880359 [1] "Iteration 907 of 1000:" [1] 0.9878294 [1] "Iteration 908 of 1000:" [1] 0.9877006 [1] "Iteration 909 of 1000:" [1] 0.9858736 [1] "Iteration 910 of 1000:" [1] 0.9874019 [1] "Iteration 911 of 1000:" [1] 0.9875451 [1] "Iteration 912 of 1000:" [1] 0.9872835 [1] "Iteration 913 of 1000:" [1] 0.9879616 [1] "Iteration 914 of 1000:" [1] 0.9878303 [1] "Iteration 915 of 1000:" [1] 0.9877871 [1] "Iteration 916 of 1000:" [1] 0.9858126 [1] "Iteration 917 of 1000:" [1] 0.9880542 [1] "Iteration 918 of 1000:" [1] 0.9868093 [1] "Iteration 919 of 1000:" [1] 0.9875379 [1] "Iteration 920 of 1000:" [1] 0.985967 [1] "Iteration 921 of 1000:" [1] 0.9876208 [1] "Iteration 922 of 1000:" [1] 0.9880403 [1] "Iteration 923 of 1000:" [1] 0.987809 [1] "Iteration 924 of 1000:" [1] 0.9860422 [1] "Iteration 925 of 1000:" [1] 0.9856148 [1] "Iteration 926 of 1000:" [1] 0.9875216 [1] "Iteration 927 of 1000:" [1] 0.9880809 [1] "Iteration 928 of 1000:" [1] 0.9858399 [1] "Iteration 929 of 1000:" [1] 0.987423 [1] "Iteration 930 of 1000:" [1] 0.9874209 [1] "Iteration 931 of 1000:" [1] 0.9877416 [1] "Iteration 932 of 1000:" [1] 0.987758 [1] "Iteration 933 of 1000:" [1] 0.9861369 [1] "Iteration 934 of 1000:" [1] 0.9865664 [1] "Iteration 935 of 1000:" [1] 0.9877869 [1] "Iteration 936 of 1000:" [1] 0.9845603 [1] "Iteration 937 of 1000:" [1] 0.9875067 [1] "Iteration 938 of 1000:" [1] 0.9876411 [1] "Iteration 939 of 1000:" [1] 0.9867351 [1] "Iteration 940 of 1000:" [1] 0.9873589 [1] "Iteration 941 of 1000:" [1] 0.9874887 [1] "Iteration 942 of 1000:" [1] 0.9878384 [1] "Iteration 943 of 1000:" [1] 0.9849691 [1] "Iteration 944 of 1000:" [1] 0.9875589 [1] "Iteration 945 of 1000:" [1] 0.9888609 [1] "Iteration 946 of 1000:" [1] 0.9865984 [1] "Iteration 947 of 1000:" [1] 0.9871585 [1] "Iteration 948 of 1000:" [1] 0.9858782 [1] "Iteration 949 of 1000:" [1] 0.9870083 [1] "Iteration 950 of 1000:" [1] 0.9866832 [1] "Iteration 951 of 1000:" [1] 0.9853726 [1] "Iteration 952 of 1000:" [1] 0.9871548 [1] "Iteration 953 of 1000:" [1] 0.9885682 [1] "Iteration 954 of 1000:" [1] 0.9857282 [1] "Iteration 955 of 1000:" [1] 0.9874514 [1] "Iteration 956 of 1000:" [1] 0.9866784 [1] "Iteration 957 of 1000:" [1] 0.9878906 [1] "Iteration 958 of 1000:" [1] 0.9866004 [1] "Iteration 959 of 1000:" [1] 0.9873295 [1] "Iteration 960 of 1000:" [1] 0.9851567 [1] "Iteration 961 of 1000:" [1] 0.9873494 [1] "Iteration 962 of 1000:" [1] 0.9848654 [1] "Iteration 963 of 1000:" [1] 0.9872695 [1] "Iteration 964 of 1000:" [1] 0.9881872 [1] "Iteration 965 of 1000:" [1] 0.9846591 [1] "Iteration 966 of 1000:" [1] 0.9844101 [1] "Iteration 967 of 1000:" [1] 0.9858952 [1] "Iteration 968 of 1000:" [1] 0.9866071 [1] "Iteration 969 of 1000:" [1] 0.9866933 [1] "Iteration 970 of 1000:" [1] 0.9859904 [1] "Iteration 971 of 1000:" [1] 0.9874536 [1] "Iteration 972 of 1000:" [1] 0.9876778 [1] "Iteration 973 of 1000:" [1] 0.9871784 [1] "Iteration 974 of 1000:" [1] 0.9856683 [1] "Iteration 975 of 1000:" [1] 0.9871832 [1] "Iteration 976 of 1000:" [1] 0.9851785 [1] "Iteration 977 of 1000:" [1] 0.9884529 [1] "Iteration 978 of 1000:" [1] 0.9877581 [1] "Iteration 979 of 1000:" [1] 0.9852988 [1] "Iteration 980 of 1000:" [1] 0.9876593 [1] "Iteration 981 of 1000:" [1] 0.987157 [1] "Iteration 982 of 1000:" [1] 0.9877676 [1] "Iteration 983 of 1000:" [1] 0.9865775 [1] "Iteration 984 of 1000:" [1] 0.9873937 [1] "Iteration 985 of 1000:" [1] 0.9873795 [1] "Iteration 986 of 1000:" [1] 0.9883398 [1] "Iteration 987 of 1000:" [1] 0.9854079 [1] "Iteration 988 of 1000:" [1] 0.9873979 [1] "Iteration 989 of 1000:" [1] 0.9848238 [1] "Iteration 990 of 1000:" [1] 0.9870951 [1] "Iteration 991 of 1000:" [1] 0.984762 [1] "Iteration 992 of 1000:" [1] 0.9871229 [1] "Iteration 993 of 1000:" [1] 0.9888766 [1] "Iteration 994 of 1000:" [1] 0.9870203 [1] "Iteration 995 of 1000:" [1] 0.9859894 [1] "Iteration 996 of 1000:" [1] 0.9875457 [1] "Iteration 997 of 1000:" [1] 0.9853687 [1] "Iteration 998 of 1000:" [1] 0.9844077 [1] "Iteration 999 of 1000:" [1] 0.9876995 [1] "Iteration 1000 of 1000:" [1] 0.9870535 [1] "Iteration 1 of 1000:" [1] 0.9872522 [1] "Iteration 2 of 1000:" [1] 0.9870719 [1] "Iteration 3 of 1000:" [1] 0.9856397 [1] "Iteration 4 of 1000:" [1] 0.9884885 [1] "Iteration 5 of 1000:" [1] 0.9855953 [1] "Iteration 6 of 1000:" [1] 0.9883467 [1] "Iteration 7 of 1000:" [1] 0.9883772 [1] "Iteration 8 of 1000:" [1] 0.985594 [1] "Iteration 9 of 1000:" [1] 0.9879238 [1] "Iteration 10 of 1000:" [1] 0.9844719 [1] "Iteration 11 of 1000:" [1] 0.9877911 [1] "Iteration 12 of 1000:" [1] 0.9887336 [1] "Iteration 13 of 1000:" [1] 0.9859271 [1] "Iteration 14 of 1000:" [1] 0.9878037 [1] "Iteration 15 of 1000:" [1] 0.987677 [1] "Iteration 16 of 1000:" [1] 0.9860915 [1] "Iteration 17 of 1000:" [1] 0.9875442 [1] "Iteration 18 of 1000:" [1] 0.988561 [1] "Iteration 19 of 1000:" [1] 0.9855526 [1] "Iteration 20 of 1000:" [1] 0.9861127 [1] "Iteration 21 of 1000:" [1] 0.986805 [1] "Iteration 22 of 1000:" [1] 0.9877562 [1] "Iteration 23 of 1000:" [1] 0.9874842 [1] "Iteration 24 of 1000:" [1] 0.9873435 [1] "Iteration 25 of 1000:" [1] 0.9880787 [1] "Iteration 26 of 1000:" [1] 0.9850225 [1] "Iteration 27 of 1000:" [1] 0.9859807 [1] "Iteration 28 of 1000:" [1] 0.9872591 [1] "Iteration 29 of 1000:" [1] 0.9851155 [1] "Iteration 30 of 1000:" [1] 0.9865388 [1] "Iteration 31 of 1000:" [1] 0.9860345 [1] "Iteration 32 of 1000:" [1] 0.9861127 [1] "Iteration 33 of 1000:" [1] 0.9896052 [1] "Iteration 34 of 1000:" [1] 0.9864442 [1] "Iteration 35 of 1000:" [1] 0.9883655 [1] "Iteration 36 of 1000:" [1] 0.9859803 [1] "Iteration 37 of 1000:" [1] 0.9897404 [1] "Iteration 38 of 1000:" [1] 0.9884487 [1] "Iteration 39 of 1000:" [1] 0.9869396 [1] "Iteration 40 of 1000:" [1] 0.9878395 [1] "Iteration 41 of 1000:" [1] 0.9853865 [1] "Iteration 42 of 1000:" [1] 0.9859552 [1] "Iteration 43 of 1000:" [1] 0.9883817 [1] "Iteration 44 of 1000:" [1] 0.985591 [1] "Iteration 45 of 1000:" [1] 0.9881868 [1] "Iteration 46 of 1000:" [1] 0.9852567 [1] "Iteration 47 of 1000:" [1] 0.9845587 [1] "Iteration 48 of 1000:" [1] 0.9854582 [1] "Iteration 49 of 1000:" [1] 0.9876178 [1] "Iteration 50 of 1000:" [1] 0.9860034 [1] "Iteration 51 of 1000:" [1] 0.9859115 [1] "Iteration 52 of 1000:" [1] 0.9873142 [1] "Iteration 53 of 1000:" [1] 0.9860061 [1] "Iteration 54 of 1000:" [1] 0.9896869 [1] "Iteration 55 of 1000:" [1] 0.9873209 [1] "Iteration 56 of 1000:" [1] 0.9859867 [1] "Iteration 57 of 1000:" [1] 0.9877506 [1] "Iteration 58 of 1000:" [1] 0.9866549 [1] "Iteration 59 of 1000:" [1] 0.9851392 [1] "Iteration 60 of 1000:" [1] 0.988327 [1] "Iteration 61 of 1000:" [1] 0.9872439 [1] "Iteration 62 of 1000:" [1] 0.9863083 [1] "Iteration 63 of 1000:" [1] 0.9880802 [1] "Iteration 64 of 1000:" [1] 0.9873908 [1] "Iteration 65 of 1000:" [1] 0.9873709 [1] "Iteration 66 of 1000:" [1] 0.9831809 [1] "Iteration 67 of 1000:" [1] 0.9880813 [1] "Iteration 68 of 1000:" [1] 0.9863994 [1] "Iteration 69 of 1000:" [1] 0.9853054 [1] "Iteration 70 of 1000:" [1] 0.9873031 [1] "Iteration 71 of 1000:" [1] 0.9875952 [1] "Iteration 72 of 1000:" [1] 0.9857043 [1] "Iteration 73 of 1000:" [1] 0.9880058 [1] "Iteration 74 of 1000:" [1] 0.9879372 [1] "Iteration 75 of 1000:" [1] 0.9858093 [1] "Iteration 76 of 1000:" [1] 0.9845099 [1] "Iteration 77 of 1000:" [1] 0.9850669 [1] "Iteration 78 of 1000:" [1] 0.9847107 [1] "Iteration 79 of 1000:" [1] 0.9856861 [1] "Iteration 80 of 1000:" [1] 0.9872602 [1] "Iteration 81 of 1000:" [1] 0.9856297 [1] "Iteration 82 of 1000:" [1] 0.9839469 [1] "Iteration 83 of 1000:" [1] 0.986747 [1] "Iteration 84 of 1000:" [1] 0.9873663 [1] "Iteration 85 of 1000:" [1] 0.987401 [1] "Iteration 86 of 1000:" [1] 0.9858621 [1] "Iteration 87 of 1000:" [1] 0.9873711 [1] "Iteration 88 of 1000:" [1] 0.9883569 [1] "Iteration 89 of 1000:" [1] 0.9850628 [1] "Iteration 90 of 1000:" [1] 0.9883927 [1] "Iteration 91 of 1000:" [1] 0.9850142 [1] "Iteration 92 of 1000:" [1] 0.9872444 [1] "Iteration 93 of 1000:" [1] 0.9882538 [1] "Iteration 94 of 1000:" [1] 0.9849402 [1] "Iteration 95 of 1000:" [1] 0.9840398 [1] "Iteration 96 of 1000:" [1] 0.9873466 [1] "Iteration 97 of 1000:" [1] 0.986858 [1] "Iteration 98 of 1000:" [1] 0.9861035 [1] "Iteration 99 of 1000:" [1] 0.985328 [1] "Iteration 100 of 1000:" [1] 0.9872378 [1] "Iteration 101 of 1000:" [1] 0.9875637 [1] "Iteration 102 of 1000:" [1] 0.988875 [1] "Iteration 103 of 1000:" [1] 0.9864551 [1] "Iteration 104 of 1000:" [1] 0.9883731 [1] "Iteration 105 of 1000:" [1] 0.988388 [1] "Iteration 106 of 1000:" [1] 0.9880286 [1] "Iteration 107 of 1000:" [1] 0.986426 [1] "Iteration 108 of 1000:" [1] 0.9850054 [1] "Iteration 109 of 1000:" [1] 0.9874363 [1] "Iteration 110 of 1000:" [1] 0.9858825 [1] "Iteration 111 of 1000:" [1] 0.9877088 [1] "Iteration 112 of 1000:" [1] 0.9856442 [1] "Iteration 113 of 1000:" [1] 0.9854797 [1] "Iteration 114 of 1000:" [1] 0.9855673 [1] "Iteration 115 of 1000:" [1] 0.986863 [1] "Iteration 116 of 1000:" [1] 0.9888229 [1] "Iteration 117 of 1000:" [1] 0.985926 [1] "Iteration 118 of 1000:" [1] 0.9848219 [1] "Iteration 119 of 1000:" [1] 0.9856781 [1] "Iteration 120 of 1000:" [1] 0.9853215 [1] "Iteration 121 of 1000:" [1] 0.9857757 [1] "Iteration 122 of 1000:" [1] 0.9875034 [1] "Iteration 123 of 1000:" [1] 0.988468 [1] "Iteration 124 of 1000:" [1] 0.9870477 [1] "Iteration 125 of 1000:" [1] 0.9883809 [1] "Iteration 126 of 1000:" [1] 0.9833978 [1] "Iteration 127 of 1000:" [1] 0.9852083 [1] "Iteration 128 of 1000:" [1] 0.9882082 [1] "Iteration 129 of 1000:" [1] 0.9865102 [1] "Iteration 130 of 1000:" [1] 0.9877885 [1] "Iteration 131 of 1000:" [1] 0.9849558 [1] "Iteration 132 of 1000:" [1] 0.9862011 [1] "Iteration 133 of 1000:" [1] 0.9865097 [1] "Iteration 134 of 1000:" [1] 0.9863026 [1] "Iteration 135 of 1000:" [1] 0.9850641 [1] "Iteration 136 of 1000:" [1] 0.9862657 [1] "Iteration 137 of 1000:" [1] 0.98629 [1] "Iteration 138 of 1000:" [1] 0.9851803 [1] "Iteration 139 of 1000:" [1] 0.9875988 [1] "Iteration 140 of 1000:" [1] 0.9870908 [1] "Iteration 141 of 1000:" [1] 0.9884317 [1] "Iteration 142 of 1000:" [1] 0.9853009 [1] "Iteration 143 of 1000:" [1] 0.9881778 [1] "Iteration 144 of 1000:" [1] 0.9877716 [1] "Iteration 145 of 1000:" [1] 0.9877213 [1] "Iteration 146 of 1000:" [1] 0.9858556 [1] "Iteration 147 of 1000:" [1] 0.986096 [1] "Iteration 148 of 1000:" [1] 0.9890353 [1] "Iteration 149 of 1000:" [1] 0.986628 [1] "Iteration 150 of 1000:" [1] 0.9848637 [1] "Iteration 151 of 1000:" [1] 0.9858286 [1] "Iteration 152 of 1000:" [1] 0.9881019 [1] "Iteration 153 of 1000:" [1] 0.9873948 [1] "Iteration 154 of 1000:" [1] 0.9878355 [1] "Iteration 155 of 1000:" [1] 0.98756 [1] "Iteration 156 of 1000:" [1] 0.988335 [1] "Iteration 157 of 1000:" [1] 0.9878792 [1] "Iteration 158 of 1000:" [1] 0.9860513 [1] "Iteration 159 of 1000:" [1] 0.9868588 [1] "Iteration 160 of 1000:" [1] 0.9852905 [1] "Iteration 161 of 1000:" [1] 0.9847372 [1] "Iteration 162 of 1000:" [1] 0.9847497 [1] "Iteration 163 of 1000:" [1] 0.9882086 [1] "Iteration 164 of 1000:" [1] 0.9874358 [1] "Iteration 165 of 1000:" [1] 0.9873622 [1] "Iteration 166 of 1000:" [1] 0.9847423 [1] "Iteration 167 of 1000:" [1] 0.987145 [1] "Iteration 168 of 1000:" [1] 0.9875777 [1] "Iteration 169 of 1000:" [1] 0.9883159 [1] "Iteration 170 of 1000:" [1] 0.9856825 [1] "Iteration 171 of 1000:" [1] 0.9857136 [1] "Iteration 172 of 1000:" [1] 0.9844771 [1] "Iteration 173 of 1000:" [1] 0.98614 [1] "Iteration 174 of 1000:" [1] 0.9884798 [1] "Iteration 175 of 1000:" [1] 0.9867911 [1] "Iteration 176 of 1000:" [1] 0.9874277 [1] "Iteration 177 of 1000:" [1] 0.9861573 [1] "Iteration 178 of 1000:" [1] 0.9874136 [1] "Iteration 179 of 1000:" [1] 0.9884775 [1] "Iteration 180 of 1000:" [1] 0.9875925 [1] "Iteration 181 of 1000:" [1] 0.9866815 [1] "Iteration 182 of 1000:" [1] 0.9858464 [1] "Iteration 183 of 1000:" [1] 0.9870882 [1] "Iteration 184 of 1000:" [1] 0.9858894 [1] "Iteration 185 of 1000:" [1] 0.9878155 [1] "Iteration 186 of 1000:" [1] 0.9864437 [1] "Iteration 187 of 1000:" [1] 0.9888311 [1] "Iteration 188 of 1000:" [1] 0.9859677 [1] "Iteration 189 of 1000:" [1] 0.9874999 [1] "Iteration 190 of 1000:" [1] 0.9873701 [1] "Iteration 191 of 1000:" [1] 0.9856948 [1] "Iteration 192 of 1000:" [1] 0.9879711 [1] "Iteration 193 of 1000:" [1] 0.9881381 [1] "Iteration 194 of 1000:" [1] 0.9862153 [1] "Iteration 195 of 1000:" [1] 0.9854298 [1] "Iteration 196 of 1000:" [1] 0.9848845 [1] "Iteration 197 of 1000:" [1] 0.9879825 [1] "Iteration 198 of 1000:" [1] 0.9865106 [1] "Iteration 199 of 1000:" [1] 0.9862189 [1] "Iteration 200 of 1000:" [1] 0.9856666 [1] "Iteration 201 of 1000:" [1] 0.9883107 [1] "Iteration 202 of 1000:" [1] 0.9880141 [1] "Iteration 203 of 1000:" [1] 0.9859206 [1] "Iteration 204 of 1000:" [1] 0.9879702 [1] "Iteration 205 of 1000:" [1] 0.987316 [1] "Iteration 206 of 1000:" [1] 0.9851486 [1] "Iteration 207 of 1000:" [1] 0.9855889 [1] "Iteration 208 of 1000:" [1] 0.9876697 [1] "Iteration 209 of 1000:" [1] 0.9844796 [1] "Iteration 210 of 1000:" [1] 0.9854723 [1] "Iteration 211 of 1000:" [1] 0.9876242 [1] "Iteration 212 of 1000:" [1] 0.9860312 [1] "Iteration 213 of 1000:" [1] 0.9881032 [1] "Iteration 214 of 1000:" [1] 0.9872882 [1] "Iteration 215 of 1000:" [1] 0.9850334 [1] "Iteration 216 of 1000:" [1] 0.9855964 [1] "Iteration 217 of 1000:" [1] 0.9872135 [1] "Iteration 218 of 1000:" [1] 0.9850057 [1] "Iteration 219 of 1000:" [1] 0.988654 [1] "Iteration 220 of 1000:" [1] 0.9852479 [1] "Iteration 221 of 1000:" [1] 0.9882487 [1] "Iteration 222 of 1000:" [1] 0.9853614 [1] "Iteration 223 of 1000:" [1] 0.9864374 [1] "Iteration 224 of 1000:" [1] 0.9859258 [1] "Iteration 225 of 1000:" [1] 0.9880274 [1] "Iteration 226 of 1000:" [1] 0.9866684 [1] "Iteration 227 of 1000:" [1] 0.9848955 [1] "Iteration 228 of 1000:" [1] 0.9854295 [1] "Iteration 229 of 1000:" [1] 0.9854577 [1] "Iteration 230 of 1000:" [1] 0.9872134 [1] "Iteration 231 of 1000:" [1] 0.9859418 [1] "Iteration 232 of 1000:" [1] 0.9862969 [1] "Iteration 233 of 1000:" [1] 0.9875023 [1] "Iteration 234 of 1000:" [1] 0.9882112 [1] "Iteration 235 of 1000:" [1] 0.9852454 [1] "Iteration 236 of 1000:" [1] 0.9867398 [1] "Iteration 237 of 1000:" [1] 0.9892241 [1] "Iteration 238 of 1000:" [1] 0.9866587 [1] "Iteration 239 of 1000:" [1] 0.9864356 [1] "Iteration 240 of 1000:" [1] 0.9881661 [1] "Iteration 241 of 1000:" [1] 0.9881983 [1] "Iteration 242 of 1000:" [1] 0.987083 [1] "Iteration 243 of 1000:" [1] 0.9879856 [1] "Iteration 244 of 1000:" [1] 0.9883292 [1] "Iteration 245 of 1000:" [1] 0.9881954 [1] "Iteration 246 of 1000:" [1] 0.9882592 [1] "Iteration 247 of 1000:" [1] 0.9862818 [1] "Iteration 248 of 1000:" [1] 0.9858376 [1] "Iteration 249 of 1000:" [1] 0.9883538 [1] "Iteration 250 of 1000:" [1] 0.9879172 [1] "Iteration 251 of 1000:" [1] 0.9868461 [1] "Iteration 252 of 1000:" [1] 0.9865017 [1] "Iteration 253 of 1000:" [1] 0.9850949 [1] "Iteration 254 of 1000:" [1] 0.9879075 [1] "Iteration 255 of 1000:" [1] 0.9863256 [1] "Iteration 256 of 1000:" [1] 0.9868348 [1] "Iteration 257 of 1000:" [1] 0.9877825 [1] "Iteration 258 of 1000:" [1] 0.9872527 [1] "Iteration 259 of 1000:" [1] 0.9861429 [1] "Iteration 260 of 1000:" [1] 0.9883806 [1] "Iteration 261 of 1000:" [1] 0.9888418 [1] "Iteration 262 of 1000:" [1] 0.9857996 [1] "Iteration 263 of 1000:" [1] 0.9855358 [1] "Iteration 264 of 1000:" [1] 0.9856528 [1] "Iteration 265 of 1000:" [1] 0.986001 [1] "Iteration 266 of 1000:" [1] 0.9870294 [1] "Iteration 267 of 1000:" [1] 0.985783 [1] "Iteration 268 of 1000:" [1] 0.98764 [1] "Iteration 269 of 1000:" [1] 0.9873835 [1] "Iteration 270 of 1000:" [1] 0.9850171 [1] "Iteration 271 of 1000:" [1] 0.9852258 [1] "Iteration 272 of 1000:" [1] 0.9870653 [1] "Iteration 273 of 1000:" [1] 0.9858059 [1] "Iteration 274 of 1000:" [1] 0.9860898 [1] "Iteration 275 of 1000:" [1] 0.9879487 [1] "Iteration 276 of 1000:" [1] 0.9854384 [1] "Iteration 277 of 1000:" [1] 0.987254 [1] "Iteration 278 of 1000:" [1] 0.9848307 [1] "Iteration 279 of 1000:" [1] 0.9888639 [1] "Iteration 280 of 1000:" [1] 0.9877741 [1] "Iteration 281 of 1000:" [1] 0.9855468 [1] "Iteration 282 of 1000:" [1] 0.9880806 [1] "Iteration 283 of 1000:" [1] 0.9860937 [1] "Iteration 284 of 1000:" [1] 0.9870945 [1] "Iteration 285 of 1000:" [1] 0.9855262 [1] "Iteration 286 of 1000:" [1] 0.9877273 [1] "Iteration 287 of 1000:" [1] 0.9860319 [1] "Iteration 288 of 1000:" [1] 0.9880558 [1] "Iteration 289 of 1000:" [1] 0.9869912 [1] "Iteration 290 of 1000:" [1] 0.9871261 [1] "Iteration 291 of 1000:" [1] 0.9873757 [1] "Iteration 292 of 1000:" [1] 0.9874675 [1] "Iteration 293 of 1000:" [1] 0.9886873 [1] "Iteration 294 of 1000:" [1] 0.9852183 [1] "Iteration 295 of 1000:" [1] 0.9856011 [1] "Iteration 296 of 1000:" [1] 0.9876202 [1] "Iteration 297 of 1000:" [1] 0.9877358 [1] "Iteration 298 of 1000:" [1] 0.9858526 [1] "Iteration 299 of 1000:" [1] 0.9872752 [1] "Iteration 300 of 1000:" [1] 0.986115 [1] "Iteration 301 of 1000:" [1] 0.9858719 [1] "Iteration 302 of 1000:" [1] 0.9872393 [1] "Iteration 303 of 1000:" [1] 0.9868553 [1] "Iteration 304 of 1000:" [1] 0.9846892 [1] "Iteration 305 of 1000:" [1] 0.9870269 [1] "Iteration 306 of 1000:" [1] 0.9879867 [1] "Iteration 307 of 1000:" [1] 0.9859663 [1] "Iteration 308 of 1000:" [1] 0.9869708 [1] "Iteration 309 of 1000:" [1] 0.9883273 [1] "Iteration 310 of 1000:" [1] 0.9857859 [1] "Iteration 311 of 1000:" [1] 0.9877327 [1] "Iteration 312 of 1000:" [1] 0.9853396 [1] "Iteration 313 of 1000:" [1] 0.9843591 [1] "Iteration 314 of 1000:" [1] 0.9836495 [1] "Iteration 315 of 1000:" [1] 0.9862189 [1] "Iteration 316 of 1000:" [1] 0.9876783 [1] "Iteration 317 of 1000:" [1] 0.9856231 [1] "Iteration 318 of 1000:" [1] 0.9890282 [1] "Iteration 319 of 1000:" [1] 0.9894108 [1] "Iteration 320 of 1000:" [1] 0.9858396 [1] "Iteration 321 of 1000:" [1] 0.98642 [1] "Iteration 322 of 1000:" [1] 0.9854367 [1] "Iteration 323 of 1000:" [1] 0.9872162 [1] "Iteration 324 of 1000:" [1] 0.9878518 [1] "Iteration 325 of 1000:" [1] 0.9869097 [1] "Iteration 326 of 1000:" [1] 0.9841666 [1] "Iteration 327 of 1000:" [1] 0.9855624 [1] "Iteration 328 of 1000:" [1] 0.9865331 [1] "Iteration 329 of 1000:" [1] 0.9878059 [1] "Iteration 330 of 1000:" [1] 0.9873702 [1] "Iteration 331 of 1000:" [1] 0.9863557 [1] "Iteration 332 of 1000:" [1] 0.988123 [1] "Iteration 333 of 1000:" [1] 0.9874938 [1] "Iteration 334 of 1000:" [1] 0.9860075 [1] "Iteration 335 of 1000:" [1] 0.985201 [1] "Iteration 336 of 1000:" [1] 0.9864146 [1] "Iteration 337 of 1000:" [1] 0.9897232 [1] "Iteration 338 of 1000:" [1] 0.9877148 [1] "Iteration 339 of 1000:" [1] 0.9873161 [1] "Iteration 340 of 1000:" [1] 0.9857424 [1] "Iteration 341 of 1000:" [1] 0.9867026 [1] "Iteration 342 of 1000:" [1] 0.9862831 [1] "Iteration 343 of 1000:" [1] 0.9877733 [1] "Iteration 344 of 1000:" [1] 0.9848481 [1] "Iteration 345 of 1000:" [1] 0.9872652 [1] "Iteration 346 of 1000:" [1] 0.9866561 [1] "Iteration 347 of 1000:" [1] 0.984625 [1] "Iteration 348 of 1000:" [1] 0.9857596 [1] "Iteration 349 of 1000:" [1] 0.9857028 [1] "Iteration 350 of 1000:" [1] 0.9883159 [1] "Iteration 351 of 1000:" [1] 0.9860034 [1] "Iteration 352 of 1000:" [1] 0.98524 [1] "Iteration 353 of 1000:" [1] 0.9875593 [1] "Iteration 354 of 1000:" [1] 0.9876848 [1] "Iteration 355 of 1000:" [1] 0.9871091 [1] "Iteration 356 of 1000:" [1] 0.9841528 [1] "Iteration 357 of 1000:" [1] 0.9858826 [1] "Iteration 358 of 1000:" [1] 0.9848835 [1] "Iteration 359 of 1000:" [1] 0.9877351 [1] "Iteration 360 of 1000:" [1] 0.9870169 [1] "Iteration 361 of 1000:" [1] 0.9856258 [1] "Iteration 362 of 1000:" [1] 0.9857547 [1] "Iteration 363 of 1000:" [1] 0.9871749 [1] "Iteration 364 of 1000:" [1] 0.9859411 [1] "Iteration 365 of 1000:" [1] 0.986027 [1] "Iteration 366 of 1000:" [1] 0.9871763 [1] "Iteration 367 of 1000:" [1] 0.9878982 [1] "Iteration 368 of 1000:" [1] 0.9863084 [1] "Iteration 369 of 1000:" [1] 0.9853911 [1] "Iteration 370 of 1000:" [1] 0.9868625 [1] "Iteration 371 of 1000:" [1] 0.9854485 [1] "Iteration 372 of 1000:" [1] 0.9877895 [1] "Iteration 373 of 1000:" [1] 0.987821 [1] "Iteration 374 of 1000:" [1] 0.9860476 [1] "Iteration 375 of 1000:" [1] 0.9884364 [1] "Iteration 376 of 1000:" [1] 0.9854519 [1] "Iteration 377 of 1000:" [1] 0.9848289 [1] "Iteration 378 of 1000:" [1] 0.9887993 [1] "Iteration 379 of 1000:" [1] 0.9891245 [1] "Iteration 380 of 1000:" [1] 0.9853317 [1] "Iteration 381 of 1000:" [1] 0.9853484 [1] "Iteration 382 of 1000:" [1] 0.9876519 [1] "Iteration 383 of 1000:" [1] 0.9870815 [1] "Iteration 384 of 1000:" [1] 0.9869456 [1] "Iteration 385 of 1000:" [1] 0.9867175 [1] "Iteration 386 of 1000:" [1] 0.9859043 [1] "Iteration 387 of 1000:" [1] 0.9850267 [1] "Iteration 388 of 1000:" [1] 0.987769 [1] "Iteration 389 of 1000:" [1] 0.9869233 [1] "Iteration 390 of 1000:" [1] 0.9878666 [1] "Iteration 391 of 1000:" [1] 0.9883726 [1] "Iteration 392 of 1000:" [1] 0.9879104 [1] "Iteration 393 of 1000:" [1] 0.9874903 [1] "Iteration 394 of 1000:" [1] 0.9854563 [1] "Iteration 395 of 1000:" [1] 0.9855484 [1] "Iteration 396 of 1000:" [1] 0.9854547 [1] "Iteration 397 of 1000:" [1] 0.9859707 [1] "Iteration 398 of 1000:" [1] 0.9866238 [1] "Iteration 399 of 1000:" [1] 0.9874323 [1] "Iteration 400 of 1000:" [1] 0.987657 [1] "Iteration 401 of 1000:" [1] 0.9884808 [1] "Iteration 402 of 1000:" [1] 0.9861918 [1] "Iteration 403 of 1000:" [1] 0.9872086 [1] "Iteration 404 of 1000:" [1] 0.9858569 [1] "Iteration 405 of 1000:" [1] 0.9844077 [1] "Iteration 406 of 1000:" [1] 0.9880853 [1] "Iteration 407 of 1000:" [1] 0.9860111 [1] "Iteration 408 of 1000:" [1] 0.9876187 [1] "Iteration 409 of 1000:" [1] 0.9865537 [1] "Iteration 410 of 1000:" [1] 0.985416 [1] "Iteration 411 of 1000:" [1] 0.9864187 [1] "Iteration 412 of 1000:" [1] 0.9859045 [1] "Iteration 413 of 1000:" [1] 0.9849527 [1] "Iteration 414 of 1000:" [1] 0.9852465 [1] "Iteration 415 of 1000:" [1] 0.9861004 [1] "Iteration 416 of 1000:" [1] 0.9884193 [1] "Iteration 417 of 1000:" [1] 0.9889844 [1] "Iteration 418 of 1000:" [1] 0.9888345 [1] "Iteration 419 of 1000:" [1] 0.9870733 [1] "Iteration 420 of 1000:" [1] 0.985101 [1] "Iteration 421 of 1000:" [1] 0.9853922 [1] "Iteration 422 of 1000:" [1] 0.9862758 [1] "Iteration 423 of 1000:" [1] 0.988186 [1] "Iteration 424 of 1000:" [1] 0.9860236 [1] "Iteration 425 of 1000:" [1] 0.9853529 [1] "Iteration 426 of 1000:" [1] 0.9885511 [1] "Iteration 427 of 1000:" [1] 0.9873776 [1] "Iteration 428 of 1000:" [1] 0.9876661 [1] "Iteration 429 of 1000:" [1] 0.9868759 [1] "Iteration 430 of 1000:" [1] 0.983449 [1] "Iteration 431 of 1000:" [1] 0.9854281 [1] "Iteration 432 of 1000:" [1] 0.9866905 [1] "Iteration 433 of 1000:" [1] 0.9851851 [1] "Iteration 434 of 1000:" [1] 0.9874788 [1] "Iteration 435 of 1000:" [1] 0.9860407 [1] "Iteration 436 of 1000:" [1] 0.9860546 [1] "Iteration 437 of 1000:" [1] 0.9858444 [1] "Iteration 438 of 1000:" [1] 0.9874131 [1] "Iteration 439 of 1000:" [1] 0.98555 [1] "Iteration 440 of 1000:" [1] 0.9843092 [1] "Iteration 441 of 1000:" [1] 0.9874479 [1] "Iteration 442 of 1000:" [1] 0.9852892 [1] "Iteration 443 of 1000:" [1] 0.9862693 [1] "Iteration 444 of 1000:" [1] 0.9876557 [1] "Iteration 445 of 1000:" [1] 0.9867937 [1] "Iteration 446 of 1000:" [1] 0.9875941 [1] "Iteration 447 of 1000:" [1] 0.9867097 [1] "Iteration 448 of 1000:" [1] 0.9870272 [1] "Iteration 449 of 1000:" [1] 0.9859399 [1] "Iteration 450 of 1000:" [1] 0.9872161 [1] "Iteration 451 of 1000:" [1] 0.9871607 [1] "Iteration 452 of 1000:" [1] 0.9854798 [1] "Iteration 453 of 1000:" [1] 0.9873246 [1] "Iteration 454 of 1000:" [1] 0.9878259 [1] "Iteration 455 of 1000:" [1] 0.984468 [1] "Iteration 456 of 1000:" [1] 0.9824032 [1] "Iteration 457 of 1000:" [1] 0.9881308 [1] "Iteration 458 of 1000:" [1] 0.9880859 [1] "Iteration 459 of 1000:" [1] 0.9856228 [1] "Iteration 460 of 1000:" [1] 0.9862226 [1] "Iteration 461 of 1000:" [1] 0.9878907 [1] "Iteration 462 of 1000:" [1] 0.9858885 [1] "Iteration 463 of 1000:" [1] 0.9871545 [1] "Iteration 464 of 1000:" [1] 0.9883141 [1] "Iteration 465 of 1000:" [1] 0.9859415 [1] "Iteration 466 of 1000:" [1] 0.9853233 [1] "Iteration 467 of 1000:" [1] 0.9873474 [1] "Iteration 468 of 1000:" [1] 0.9874953 [1] "Iteration 469 of 1000:" [1] 0.9859268 [1] "Iteration 470 of 1000:" [1] 0.9872638 [1] "Iteration 471 of 1000:" [1] 0.9844815 [1] "Iteration 472 of 1000:" [1] 0.9867621 [1] "Iteration 473 of 1000:" [1] 0.9857205 [1] "Iteration 474 of 1000:" [1] 0.986563 [1] "Iteration 475 of 1000:" [1] 0.9859933 [1] "Iteration 476 of 1000:" [1] 0.9883505 [1] "Iteration 477 of 1000:" [1] 0.9876294 [1] "Iteration 478 of 1000:" [1] 0.9853484 [1] "Iteration 479 of 1000:" [1] 0.9891528 [1] "Iteration 480 of 1000:" [1] 0.987891 [1] "Iteration 481 of 1000:" [1] 0.9876718 [1] "Iteration 482 of 1000:" [1] 0.9861005 [1] "Iteration 483 of 1000:" [1] 0.9859727 [1] "Iteration 484 of 1000:" [1] 0.9876386 [1] "Iteration 485 of 1000:" [1] 0.9876371 [1] "Iteration 486 of 1000:" [1] 0.9875616 [1] "Iteration 487 of 1000:" [1] 0.9880951 [1] "Iteration 488 of 1000:" [1] 0.9868096 [1] "Iteration 489 of 1000:" [1] 0.984311 [1] "Iteration 490 of 1000:" [1] 0.9895439 [1] "Iteration 491 of 1000:" [1] 0.9880466 [1] "Iteration 492 of 1000:" [1] 0.9865422 [1] "Iteration 493 of 1000:" [1] 0.9861378 [1] "Iteration 494 of 1000:" [1] 0.9878612 [1] "Iteration 495 of 1000:" [1] 0.9897899 [1] "Iteration 496 of 1000:" [1] 0.9859123 [1] "Iteration 497 of 1000:" [1] 0.9859534 [1] "Iteration 498 of 1000:" [1] 0.985155 [1] "Iteration 499 of 1000:" [1] 0.9856724 [1] "Iteration 500 of 1000:" [1] 0.9863436 [1] "Iteration 501 of 1000:" [1] 0.9857193 [1] "Iteration 502 of 1000:" [1] 0.9875433 [1] "Iteration 503 of 1000:" [1] 0.987911 [1] "Iteration 504 of 1000:" [1] 0.9878045 [1] "Iteration 505 of 1000:" [1] 0.9855457 [1] "Iteration 506 of 1000:" [1] 0.9867112 [1] "Iteration 507 of 1000:" [1] 0.9872226 [1] "Iteration 508 of 1000:" [1] 0.9876777 [1] "Iteration 509 of 1000:" [1] 0.9853849 [1] "Iteration 510 of 1000:" [1] 0.9854298 [1] "Iteration 511 of 1000:" [1] 0.9870678 [1] "Iteration 512 of 1000:" [1] 0.9857611 [1] "Iteration 513 of 1000:" [1] 0.9874573 [1] "Iteration 514 of 1000:" [1] 0.985399 [1] "Iteration 515 of 1000:" [1] 0.9872139 [1] "Iteration 516 of 1000:" [1] 0.9845842 [1] "Iteration 517 of 1000:" [1] 0.9876952 [1] "Iteration 518 of 1000:" [1] 0.9845675 [1] "Iteration 519 of 1000:" [1] 0.9877776 [1] "Iteration 520 of 1000:" [1] 0.9887789 [1] "Iteration 521 of 1000:" [1] 0.9871007 [1] "Iteration 522 of 1000:" [1] 0.9864243 [1] "Iteration 523 of 1000:" [1] 0.9859225 [1] "Iteration 524 of 1000:" [1] 0.985139 [1] "Iteration 525 of 1000:" [1] 0.9858027 [1] "Iteration 526 of 1000:" [1] 0.9856737 [1] "Iteration 527 of 1000:" [1] 0.9878973 [1] "Iteration 528 of 1000:" [1] 0.9888677 [1] "Iteration 529 of 1000:" [1] 0.9866091 [1] "Iteration 530 of 1000:" [1] 0.9864726 [1] "Iteration 531 of 1000:" [1] 0.9877986 [1] "Iteration 532 of 1000:" [1] 0.9884725 [1] "Iteration 533 of 1000:" [1] 0.9891026 [1] "Iteration 534 of 1000:" [1] 0.9867026 [1] "Iteration 535 of 1000:" [1] 0.9868883 [1] "Iteration 536 of 1000:" [1] 0.9854918 [1] "Iteration 537 of 1000:" [1] 0.9875064 [1] "Iteration 538 of 1000:" [1] 0.9844656 [1] "Iteration 539 of 1000:" [1] 0.9863306 [1] "Iteration 540 of 1000:" [1] 0.9876061 [1] "Iteration 541 of 1000:" [1] 0.9849282 [1] "Iteration 542 of 1000:" [1] 0.9867575 [1] "Iteration 543 of 1000:" [1] 0.9828559 [1] "Iteration 544 of 1000:" [1] 0.9878571 [1] "Iteration 545 of 1000:" [1] 0.9850839 [1] "Iteration 546 of 1000:" [1] 0.9855388 [1] "Iteration 547 of 1000:" [1] 0.9848533 [1] "Iteration 548 of 1000:" [1] 0.9848307 [1] "Iteration 549 of 1000:" [1] 0.9877737 [1] "Iteration 550 of 1000:" [1] 0.9865745 [1] "Iteration 551 of 1000:" [1] 0.9853089 [1] "Iteration 552 of 1000:" [1] 0.9873638 [1] "Iteration 553 of 1000:" [1] 0.9859595 [1] "Iteration 554 of 1000:" [1] 0.9874499 [1] "Iteration 555 of 1000:" [1] 0.9853766 [1] "Iteration 556 of 1000:" [1] 0.9880383 [1] "Iteration 557 of 1000:" [1] 0.9849536 [1] "Iteration 558 of 1000:" [1] 0.9853995 [1] "Iteration 559 of 1000:" [1] 0.9877944 [1] "Iteration 560 of 1000:" [1] 0.9860476 [1] "Iteration 561 of 1000:" [1] 0.9870814 [1] "Iteration 562 of 1000:" [1] 0.9857513 [1] "Iteration 563 of 1000:" [1] 0.9854263 [1] "Iteration 564 of 1000:" [1] 0.9856238 [1] "Iteration 565 of 1000:" [1] 0.9874979 [1] "Iteration 566 of 1000:" [1] 0.9874676 [1] "Iteration 567 of 1000:" [1] 0.9867452 [1] "Iteration 568 of 1000:" [1] 0.9873999 [1] "Iteration 569 of 1000:" [1] 0.9861793 [1] "Iteration 570 of 1000:" [1] 0.9882316 [1] "Iteration 571 of 1000:" [1] 0.9879117 [1] "Iteration 572 of 1000:" [1] 0.985555 [1] "Iteration 573 of 1000:" [1] 0.9879078 [1] "Iteration 574 of 1000:" [1] 0.9853471 [1] "Iteration 575 of 1000:" [1] 0.9858516 [1] "Iteration 576 of 1000:" [1] 0.9875608 [1] "Iteration 577 of 1000:" [1] 0.9878 [1] "Iteration 578 of 1000:" [1] 0.9874669 [1] "Iteration 579 of 1000:" [1] 0.9871401 [1] "Iteration 580 of 1000:" [1] 0.9847338 [1] "Iteration 581 of 1000:" [1] 0.9853826 [1] "Iteration 582 of 1000:" [1] 0.9857205 [1] "Iteration 583 of 1000:" [1] 0.9855024 [1] "Iteration 584 of 1000:" [1] 0.9873742 [1] "Iteration 585 of 1000:" [1] 0.9865807 [1] "Iteration 586 of 1000:" [1] 0.9882412 [1] "Iteration 587 of 1000:" [1] 0.9878604 [1] "Iteration 588 of 1000:" [1] 0.9872703 [1] "Iteration 589 of 1000:" [1] 0.9854612 [1] "Iteration 590 of 1000:" [1] 0.9861603 [1] "Iteration 591 of 1000:" [1] 0.9870222 [1] "Iteration 592 of 1000:" [1] 0.9886821 [1] "Iteration 593 of 1000:" [1] 0.9874161 [1] "Iteration 594 of 1000:" [1] 0.9866382 [1] "Iteration 595 of 1000:" [1] 0.9863782 [1] "Iteration 596 of 1000:" [1] 0.9861363 [1] "Iteration 597 of 1000:" [1] 0.9877506 [1] "Iteration 598 of 1000:" [1] 0.9848989 [1] "Iteration 599 of 1000:" [1] 0.9879079 [1] "Iteration 600 of 1000:" [1] 0.9882304 [1] "Iteration 601 of 1000:" [1] 0.9857383 [1] "Iteration 602 of 1000:" [1] 0.9863366 [1] "Iteration 603 of 1000:" [1] 0.9877184 [1] "Iteration 604 of 1000:" [1] 0.9850675 [1] "Iteration 605 of 1000:" [1] 0.9862932 [1] "Iteration 606 of 1000:" [1] 0.9875536 [1] "Iteration 607 of 1000:" [1] 0.9857969 [1] "Iteration 608 of 1000:" [1] 0.9874096 [1] "Iteration 609 of 1000:" [1] 0.9844077 [1] "Iteration 610 of 1000:" [1] 0.985806 [1] "Iteration 611 of 1000:" [1] 0.9878809 [1] "Iteration 612 of 1000:" [1] 0.9854274 [1] "Iteration 613 of 1000:" [1] 0.986377 [1] "Iteration 614 of 1000:" [1] 0.9873571 [1] "Iteration 615 of 1000:" [1] 0.9877021 [1] "Iteration 616 of 1000:" [1] 0.9886215 [1] "Iteration 617 of 1000:" [1] 0.9875034 [1] "Iteration 618 of 1000:" [1] 0.9862337 [1] "Iteration 619 of 1000:" [1] 0.9850569 [1] "Iteration 620 of 1000:" [1] 0.9880184 [1] "Iteration 621 of 1000:" [1] 0.9870711 [1] "Iteration 622 of 1000:" [1] 0.985274 [1] "Iteration 623 of 1000:" [1] 0.9861884 [1] "Iteration 624 of 1000:" [1] 0.9852995 [1] "Iteration 625 of 1000:" [1] 0.9879862 [1] "Iteration 626 of 1000:" [1] 0.9875829 [1] "Iteration 627 of 1000:" [1] 0.984639 [1] "Iteration 628 of 1000:" [1] 0.9849023 [1] "Iteration 629 of 1000:" [1] 0.9867765 [1] "Iteration 630 of 1000:" [1] 0.9855778 [1] "Iteration 631 of 1000:" [1] 0.9874681 [1] "Iteration 632 of 1000:" [1] 0.9853086 [1] "Iteration 633 of 1000:" [1] 0.9887659 [1] "Iteration 634 of 1000:" [1] 0.9868621 [1] "Iteration 635 of 1000:" [1] 0.9864278 [1] "Iteration 636 of 1000:" [1] 0.9886754 [1] "Iteration 637 of 1000:" [1] 0.9854665 [1] "Iteration 638 of 1000:" [1] 0.9874538 [1] "Iteration 639 of 1000:" [1] 0.985579 [1] "Iteration 640 of 1000:" [1] 0.9853044 [1] "Iteration 641 of 1000:" [1] 0.9869494 [1] "Iteration 642 of 1000:" [1] 0.9878314 [1] "Iteration 643 of 1000:" [1] 0.9858686 [1] "Iteration 644 of 1000:" [1] 0.9872323 [1] "Iteration 645 of 1000:" [1] 0.985543 [1] "Iteration 646 of 1000:" [1] 0.9874981 [1] "Iteration 647 of 1000:" [1] 0.9881133 [1] "Iteration 648 of 1000:" [1] 0.9854571 [1] "Iteration 649 of 1000:" [1] 0.9876115 [1] "Iteration 650 of 1000:" [1] 0.9860698 [1] "Iteration 651 of 1000:" [1] 0.9867202 [1] "Iteration 652 of 1000:" [1] 0.9863575 [1] "Iteration 653 of 1000:" [1] 0.9861988 [1] "Iteration 654 of 1000:" [1] 0.9855495 [1] "Iteration 655 of 1000:" [1] 0.9876509 [1] "Iteration 656 of 1000:" [1] 0.9840955 [1] "Iteration 657 of 1000:" [1] 0.9860263 [1] "Iteration 658 of 1000:" [1] 0.9866176 [1] "Iteration 659 of 1000:" [1] 0.9848692 [1] "Iteration 660 of 1000:" [1] 0.9880282 [1] "Iteration 661 of 1000:" [1] 0.985608 [1] "Iteration 662 of 1000:" [1] 0.9869091 [1] "Iteration 663 of 1000:" [1] 0.9886831 [1] "Iteration 664 of 1000:" [1] 0.9879238 [1] "Iteration 665 of 1000:" [1] 0.9871761 [1] "Iteration 666 of 1000:" [1] 0.9870614 [1] "Iteration 667 of 1000:" [1] 0.9877186 [1] "Iteration 668 of 1000:" [1] 0.9863899 [1] "Iteration 669 of 1000:" [1] 0.9858275 [1] "Iteration 670 of 1000:" [1] 0.9880141 [1] "Iteration 671 of 1000:" [1] 0.9874945 [1] "Iteration 672 of 1000:" [1] 0.9854124 [1] "Iteration 673 of 1000:" [1] 0.9879008 [1] "Iteration 674 of 1000:" [1] 0.9864467 [1] "Iteration 675 of 1000:" [1] 0.9874412 [1] "Iteration 676 of 1000:" [1] 0.9861011 [1] "Iteration 677 of 1000:" [1] 0.9861065 [1] "Iteration 678 of 1000:" [1] 0.9861293 [1] "Iteration 679 of 1000:" [1] 0.9878925 [1] "Iteration 680 of 1000:" [1] 0.9874146 [1] "Iteration 681 of 1000:" [1] 0.9876692 [1] "Iteration 682 of 1000:" [1] 0.9861918 [1] "Iteration 683 of 1000:" [1] 0.9876924 [1] "Iteration 684 of 1000:" [1] 0.9859597 [1] "Iteration 685 of 1000:" [1] 0.9853953 [1] "Iteration 686 of 1000:" [1] 0.9875939 [1] "Iteration 687 of 1000:" [1] 0.9858191 [1] "Iteration 688 of 1000:" [1] 0.9848813 [1] "Iteration 689 of 1000:" [1] 0.9876791 [1] "Iteration 690 of 1000:" [1] 0.9874614 [1] "Iteration 691 of 1000:" [1] 0.9869285 [1] "Iteration 692 of 1000:" [1] 0.9855123 [1] "Iteration 693 of 1000:" [1] 0.9868274 [1] "Iteration 694 of 1000:" [1] 0.9877982 [1] "Iteration 695 of 1000:" [1] 0.9885714 [1] "Iteration 696 of 1000:" [1] 0.9873293 [1] "Iteration 697 of 1000:" [1] 0.9880147 [1] "Iteration 698 of 1000:" [1] 0.9852431 [1] "Iteration 699 of 1000:" [1] 0.9864157 [1] "Iteration 700 of 1000:" [1] 0.9882908 [1] "Iteration 701 of 1000:" [1] 0.9880817 [1] "Iteration 702 of 1000:" [1] 0.9873182 [1] "Iteration 703 of 1000:" [1] 0.9880799 [1] "Iteration 704 of 1000:" [1] 0.9872019 [1] "Iteration 705 of 1000:" [1] 0.9860409 [1] "Iteration 706 of 1000:" [1] 0.9879992 [1] "Iteration 707 of 1000:" [1] 0.9872371 [1] "Iteration 708 of 1000:" [1] 0.986104 [1] "Iteration 709 of 1000:" [1] 0.9865996 [1] "Iteration 710 of 1000:" [1] 0.9856697 [1] "Iteration 711 of 1000:" [1] 0.9877661 [1] "Iteration 712 of 1000:" [1] 0.9874138 [1] "Iteration 713 of 1000:" [1] 0.9858561 [1] "Iteration 714 of 1000:" [1] 0.9850101 [1] "Iteration 715 of 1000:" [1] 0.9882837 [1] "Iteration 716 of 1000:" [1] 0.9881787 [1] "Iteration 717 of 1000:" [1] 0.9874775 [1] "Iteration 718 of 1000:" [1] 0.9871606 [1] "Iteration 719 of 1000:" [1] 0.987035 [1] "Iteration 720 of 1000:" [1] 0.9855145 [1] "Iteration 721 of 1000:" [1] 0.9874636 [1] "Iteration 722 of 1000:" [1] 0.9854744 [1] "Iteration 723 of 1000:" [1] 0.9857686 [1] "Iteration 724 of 1000:" [1] 0.9876585 [1] "Iteration 725 of 1000:" [1] 0.9863799 [1] "Iteration 726 of 1000:" [1] 0.9878912 [1] "Iteration 727 of 1000:" [1] 0.9864877 [1] "Iteration 728 of 1000:" [1] 0.9858503 [1] "Iteration 729 of 1000:" [1] 0.98658 [1] "Iteration 730 of 1000:" [1] 0.9863927 [1] "Iteration 731 of 1000:" [1] 0.9877437 [1] "Iteration 732 of 1000:" [1] 0.9873479 [1] "Iteration 733 of 1000:" [1] 0.9859741 [1] "Iteration 734 of 1000:" [1] 0.9871849 [1] "Iteration 735 of 1000:" [1] 0.9872966 [1] "Iteration 736 of 1000:" [1] 0.9852437 [1] "Iteration 737 of 1000:" [1] 0.9877989 [1] "Iteration 738 of 1000:" [1] 0.9856655 [1] "Iteration 739 of 1000:" [1] 0.9887055 [1] "Iteration 740 of 1000:" [1] 0.9878205 [1] "Iteration 741 of 1000:" [1] 0.9867509 [1] "Iteration 742 of 1000:" [1] 0.9863888 [1] "Iteration 743 of 1000:" [1] 0.9853949 [1] "Iteration 744 of 1000:" [1] 0.9884116 [1] "Iteration 745 of 1000:" [1] 0.986358 [1] "Iteration 746 of 1000:" [1] 0.9848317 [1] "Iteration 747 of 1000:" [1] 0.9880032 [1] "Iteration 748 of 1000:" [1] 0.9889791 [1] "Iteration 749 of 1000:" [1] 0.9884005 [1] "Iteration 750 of 1000:" [1] 0.9882469 [1] "Iteration 751 of 1000:" [1] 0.9876705 [1] "Iteration 752 of 1000:" [1] 0.9860984 [1] "Iteration 753 of 1000:" [1] 0.9871083 [1] "Iteration 754 of 1000:" [1] 0.9869836 [1] "Iteration 755 of 1000:" [1] 0.9875005 [1] "Iteration 756 of 1000:" [1] 0.9845679 [1] "Iteration 757 of 1000:" [1] 0.9877387 [1] "Iteration 758 of 1000:" [1] 0.9860093 [1] "Iteration 759 of 1000:" [1] 0.9859846 [1] "Iteration 760 of 1000:" [1] 0.9874641 [1] "Iteration 761 of 1000:" [1] 0.987593 [1] "Iteration 762 of 1000:" [1] 0.9849438 [1] "Iteration 763 of 1000:" [1] 0.9879303 [1] "Iteration 764 of 1000:" [1] 0.9872384 [1] "Iteration 765 of 1000:" [1] 0.9884679 [1] "Iteration 766 of 1000:" [1] 0.9890707 [1] "Iteration 767 of 1000:" [1] 0.9873855 [1] "Iteration 768 of 1000:" [1] 0.9853268 [1] "Iteration 769 of 1000:" [1] 0.9880395 [1] "Iteration 770 of 1000:" [1] 0.9851138 [1] "Iteration 771 of 1000:" [1] 0.9879098 [1] "Iteration 772 of 1000:" [1] 0.9852454 [1] "Iteration 773 of 1000:" [1] 0.9847792 [1] "Iteration 774 of 1000:" [1] 0.9859968 [1] "Iteration 775 of 1000:" [1] 0.9874229 [1] "Iteration 776 of 1000:" [1] 0.9867765 [1] "Iteration 777 of 1000:" [1] 0.9874802 [1] "Iteration 778 of 1000:" [1] 0.9880975 [1] "Iteration 779 of 1000:" [1] 0.9852455 [1] "Iteration 780 of 1000:" [1] 0.9854106 [1] "Iteration 781 of 1000:" [1] 0.9863258 [1] "Iteration 782 of 1000:" [1] 0.9870814 [1] "Iteration 783 of 1000:" [1] 0.9873537 [1] "Iteration 784 of 1000:" [1] 0.9876394 [1] "Iteration 785 of 1000:" [1] 0.9857738 [1] "Iteration 786 of 1000:" [1] 0.986262 [1] "Iteration 787 of 1000:" [1] 0.9878375 [1] "Iteration 788 of 1000:" [1] 0.9852 [1] "Iteration 789 of 1000:" [1] 0.9888308 [1] "Iteration 790 of 1000:" [1] 0.9843338 [1] "Iteration 791 of 1000:" [1] 0.9867943 [1] "Iteration 792 of 1000:" [1] 0.9879178 [1] "Iteration 793 of 1000:" [1] 0.9881537 [1] "Iteration 794 of 1000:" [1] 0.9858292 [1] "Iteration 795 of 1000:" [1] 0.986616 [1] "Iteration 796 of 1000:" [1] 0.9879545 [1] "Iteration 797 of 1000:" [1] 0.9856121 [1] "Iteration 798 of 1000:" [1] 0.9860728 [1] "Iteration 799 of 1000:" [1] 0.9881834 [1] "Iteration 800 of 1000:" [1] 0.985973 [1] "Iteration 801 of 1000:" [1] 0.9860728 [1] "Iteration 802 of 1000:" [1] 0.9880468 [1] "Iteration 803 of 1000:" [1] 0.9853461 [1] "Iteration 804 of 1000:" [1] 0.9880147 [1] "Iteration 805 of 1000:" [1] 0.986026 [1] "Iteration 806 of 1000:" [1] 0.9874144 [1] "Iteration 807 of 1000:" [1] 0.9872722 [1] "Iteration 808 of 1000:" [1] 0.9854254 [1] "Iteration 809 of 1000:" [1] 0.9850994 [1] "Iteration 810 of 1000:" [1] 0.987604 [1] "Iteration 811 of 1000:" [1] 0.9880989 [1] "Iteration 812 of 1000:" [1] 0.9855488 [1] "Iteration 813 of 1000:" [1] 0.9871359 [1] "Iteration 814 of 1000:" [1] 0.9880005 [1] "Iteration 815 of 1000:" [1] 0.9856969 [1] "Iteration 816 of 1000:" [1] 0.9887054 [1] "Iteration 817 of 1000:" [1] 0.9876459 [1] "Iteration 818 of 1000:" [1] 0.9883683 [1] "Iteration 819 of 1000:" [1] 0.9849423 [1] "Iteration 820 of 1000:" [1] 0.9860483 [1] "Iteration 821 of 1000:" [1] 0.9857498 [1] "Iteration 822 of 1000:" [1] 0.9844516 [1] "Iteration 823 of 1000:" [1] 0.9870481 [1] "Iteration 824 of 1000:" [1] 0.9858149 [1] "Iteration 825 of 1000:" [1] 0.9878911 [1] "Iteration 826 of 1000:" [1] 0.9879782 [1] "Iteration 827 of 1000:" [1] 0.9870486 [1] "Iteration 828 of 1000:" [1] 0.9856517 [1] "Iteration 829 of 1000:" [1] 0.984534 [1] "Iteration 830 of 1000:" [1] 0.9880256 [1] "Iteration 831 of 1000:" [1] 0.9856986 [1] "Iteration 832 of 1000:" [1] 0.9881471 [1] "Iteration 833 of 1000:" [1] 0.9884047 [1] "Iteration 834 of 1000:" [1] 0.9851183 [1] "Iteration 835 of 1000:" [1] 0.9862677 [1] "Iteration 836 of 1000:" [1] 0.9863424 [1] "Iteration 837 of 1000:" [1] 0.9881254 [1] "Iteration 838 of 1000:" [1] 0.9868157 [1] "Iteration 839 of 1000:" [1] 0.9870627 [1] "Iteration 840 of 1000:" [1] 0.9853465 [1] "Iteration 841 of 1000:" [1] 0.9851899 [1] "Iteration 842 of 1000:" [1] 0.9874205 [1] "Iteration 843 of 1000:" [1] 0.9879985 [1] "Iteration 844 of 1000:" [1] 0.9876968 [1] "Iteration 845 of 1000:" [1] 0.9859973 [1] "Iteration 846 of 1000:" [1] 0.9885456 [1] "Iteration 847 of 1000:" [1] 0.9858652 [1] "Iteration 848 of 1000:" [1] 0.9844117 [1] "Iteration 849 of 1000:" [1] 0.9870821 [1] "Iteration 850 of 1000:" [1] 0.9876221 [1] "Iteration 851 of 1000:" [1] 0.9872773 [1] "Iteration 852 of 1000:" [1] 0.9853769 [1] "Iteration 853 of 1000:" [1] 0.9880281 [1] "Iteration 854 of 1000:" [1] 0.9871393 [1] "Iteration 855 of 1000:" [1] 0.9881765 [1] "Iteration 856 of 1000:" [1] 0.9874333 [1] "Iteration 857 of 1000:" [1] 0.9859053 [1] "Iteration 858 of 1000:" [1] 0.9854281 [1] "Iteration 859 of 1000:" [1] 0.9880885 [1] "Iteration 860 of 1000:" [1] 0.9877637 [1] "Iteration 861 of 1000:" [1] 0.9874019 [1] "Iteration 862 of 1000:" [1] 0.987113 [1] "Iteration 863 of 1000:" [1] 0.9879115 [1] "Iteration 864 of 1000:" [1] 0.9853287 [1] "Iteration 865 of 1000:" [1] 0.9857178 [1] "Iteration 866 of 1000:" [1] 0.9871763 [1] "Iteration 867 of 1000:" [1] 0.9869791 [1] "Iteration 868 of 1000:" [1] 0.9853767 [1] "Iteration 869 of 1000:" [1] 0.9859095 [1] "Iteration 870 of 1000:" [1] 0.9883674 [1] "Iteration 871 of 1000:" [1] 0.9872153 [1] "Iteration 872 of 1000:" [1] 0.9890633 [1] "Iteration 873 of 1000:" [1] 0.9856377 [1] "Iteration 874 of 1000:" [1] 0.9852459 [1] "Iteration 875 of 1000:" [1] 0.9853923 [1] "Iteration 876 of 1000:" [1] 0.9878952 [1] "Iteration 877 of 1000:" [1] 0.9878349 [1] "Iteration 878 of 1000:" [1] 0.9874367 [1] "Iteration 879 of 1000:" [1] 0.9844077 [1] "Iteration 880 of 1000:" [1] 0.9875346 [1] "Iteration 881 of 1000:" [1] 0.9873613 [1] "Iteration 882 of 1000:" [1] 0.9880484 [1] "Iteration 883 of 1000:" [1] 0.9882016 [1] "Iteration 884 of 1000:" [1] 0.9854173 [1] "Iteration 885 of 1000:" [1] 0.9869301 [1] "Iteration 886 of 1000:" [1] 0.9875984 [1] "Iteration 887 of 1000:" [1] 0.9882059 [1] "Iteration 888 of 1000:" [1] 0.9882092 [1] "Iteration 889 of 1000:" [1] 0.987326 [1] "Iteration 890 of 1000:" [1] 0.9856498 [1] "Iteration 891 of 1000:" [1] 0.9881675 [1] "Iteration 892 of 1000:" [1] 0.9873537 [1] "Iteration 893 of 1000:" [1] 0.9855337 [1] "Iteration 894 of 1000:" [1] 0.9863925 [1] "Iteration 895 of 1000:" [1] 0.9861704 [1] "Iteration 896 of 1000:" [1] 0.9881686 [1] "Iteration 897 of 1000:" [1] 0.987589 [1] "Iteration 898 of 1000:" [1] 0.985681 [1] "Iteration 899 of 1000:" [1] 0.9875899 [1] "Iteration 900 of 1000:" [1] 0.9870091 [1] "Iteration 901 of 1000:" [1] 0.9868167 [1] "Iteration 902 of 1000:" [1] 0.9873132 [1] "Iteration 903 of 1000:" [1] 0.9895299 [1] "Iteration 904 of 1000:" [1] 0.9876299 [1] "Iteration 905 of 1000:" [1] 0.9866043 [1] "Iteration 906 of 1000:" [1] 0.9881713 [1] "Iteration 907 of 1000:" [1] 0.98767 [1] "Iteration 908 of 1000:" [1] 0.9875388 [1] "Iteration 909 of 1000:" [1] 0.9866793 [1] "Iteration 910 of 1000:" [1] 0.9880743 [1] "Iteration 911 of 1000:" [1] 0.9882306 [1] "Iteration 912 of 1000:" [1] 0.9876662 [1] "Iteration 913 of 1000:" [1] 0.9855967 [1] "Iteration 914 of 1000:" [1] 0.9882849 [1] "Iteration 915 of 1000:" [1] 0.9884061 [1] "Iteration 916 of 1000:" [1] 0.9861159 [1] "Iteration 917 of 1000:" [1] 0.9886983 [1] "Iteration 918 of 1000:" [1] 0.9878076 [1] "Iteration 919 of 1000:" [1] 0.9873005 [1] "Iteration 920 of 1000:" [1] 0.988558 [1] "Iteration 921 of 1000:" [1] 0.9871024 [1] "Iteration 922 of 1000:" [1] 0.9878174 [1] "Iteration 923 of 1000:" [1] 0.9857381 [1] "Iteration 924 of 1000:" [1] 0.988308 [1] "Iteration 925 of 1000:" [1] 0.9865444 [1] "Iteration 926 of 1000:" [1] 0.9858875 [1] "Iteration 927 of 1000:" [1] 0.9879932 [1] "Iteration 928 of 1000:" [1] 0.9864705 [1] "Iteration 929 of 1000:" [1] 0.9877836 [1] "Iteration 930 of 1000:" [1] 0.9855641 [1] "Iteration 931 of 1000:" [1] 0.987343 [1] "Iteration 932 of 1000:" [1] 0.9879769 [1] "Iteration 933 of 1000:" [1] 0.9860726 [1] "Iteration 934 of 1000:" [1] 0.9877204 [1] "Iteration 935 of 1000:" [1] 0.9873004 [1] "Iteration 936 of 1000:" [1] 0.9853162 [1] "Iteration 937 of 1000:" [1] 0.9867347 [1] "Iteration 938 of 1000:" [1] 0.986541 [1] "Iteration 939 of 1000:" [1] 0.9870914 [1] "Iteration 940 of 1000:" [1] 0.9845294 [1] "Iteration 941 of 1000:" [1] 0.9888057 [1] "Iteration 942 of 1000:" [1] 0.9879173 [1] "Iteration 943 of 1000:" [1] 0.9869546 [1] "Iteration 944 of 1000:" [1] 0.9877665 [1] "Iteration 945 of 1000:" [1] 0.9877518 [1] "Iteration 946 of 1000:" [1] 0.9866559 [1] "Iteration 947 of 1000:" [1] 0.9890567 [1] "Iteration 948 of 1000:" [1] 0.9850109 [1] "Iteration 949 of 1000:" [1] 0.9859766 [1] "Iteration 950 of 1000:" [1] 0.9854098 [1] "Iteration 951 of 1000:" [1] 0.9855616 [1] "Iteration 952 of 1000:" [1] 0.9881866 [1] "Iteration 953 of 1000:" [1] 0.9870923 [1] "Iteration 954 of 1000:" [1] 0.9876103 [1] "Iteration 955 of 1000:" [1] 0.9866902 [1] "Iteration 956 of 1000:" [1] 0.9863738 [1] "Iteration 957 of 1000:" [1] 0.9870542 [1] "Iteration 958 of 1000:" [1] 0.9875868 [1] "Iteration 959 of 1000:" [1] 0.9850593 [1] "Iteration 960 of 1000:" [1] 0.9862882 [1] "Iteration 961 of 1000:" [1] 0.9848523 [1] "Iteration 962 of 1000:" [1] 0.9884196 [1] "Iteration 963 of 1000:" [1] 0.9890621 [1] "Iteration 964 of 1000:" [1] 0.9878984 [1] "Iteration 965 of 1000:" [1] 0.9874887 [1] "Iteration 966 of 1000:" [1] 0.9873023 [1] "Iteration 967 of 1000:" [1] 0.9848676 [1] "Iteration 968 of 1000:" [1] 0.9863182 [1] "Iteration 969 of 1000:" [1] 0.9881451 [1] "Iteration 970 of 1000:" [1] 0.98519 [1] "Iteration 971 of 1000:" [1] 0.988049 [1] "Iteration 972 of 1000:" [1] 0.9865871 [1] "Iteration 973 of 1000:" [1] 0.9879195 [1] "Iteration 974 of 1000:" [1] 0.9879392 [1] "Iteration 975 of 1000:" [1] 0.987147 [1] "Iteration 976 of 1000:" [1] 0.9855316 [1] "Iteration 977 of 1000:" [1] 0.9874267 [1] "Iteration 978 of 1000:" [1] 0.9863242 [1] "Iteration 979 of 1000:" [1] 0.9858453 [1] "Iteration 980 of 1000:" [1] 0.9893074 [1] "Iteration 981 of 1000:" [1] 0.9870959 [1] "Iteration 982 of 1000:" [1] 0.9884839 [1] "Iteration 983 of 1000:" [1] 0.987683 [1] "Iteration 984 of 1000:" [1] 0.9864445 [1] "Iteration 985 of 1000:" [1] 0.9854584 [1] "Iteration 986 of 1000:" [1] 0.9853525 [1] "Iteration 987 of 1000:" [1] 0.9859528 [1] "Iteration 988 of 1000:" [1] 0.9861762 [1] "Iteration 989 of 1000:" [1] 0.9861459 [1] "Iteration 990 of 1000:" [1] 0.9868123 [1] "Iteration 991 of 1000:" [1] 0.9880507 [1] "Iteration 992 of 1000:" [1] 0.9861104 [1] "Iteration 993 of 1000:" [1] 0.9862859 [1] "Iteration 994 of 1000:" [1] 0.9888748 [1] "Iteration 995 of 1000:" [1] 0.9875127 [1] "Iteration 996 of 1000:" [1] 0.9858347 [1] "Iteration 997 of 1000:" [1] 0.9864252 [1] "Iteration 998 of 1000:" [1] 0.9856416 [1] "Iteration 999 of 1000:" [1] 0.9869226 [1] "Iteration 1000 of 1000:" [1] 0.985173 [1] "Iteration 1 of 1000:" [1] 0.5262502 [1] "Iteration 2 of 1000:" [1] 0.5690404 [1] "Iteration 3 of 1000:" [1] 0.5371503 [1] "Iteration 4 of 1000:" [1] 0.5310138 [1] "Iteration 5 of 1000:" [1] 0.5297283 [1] "Iteration 6 of 1000:" [1] 0.5489527 [1] "Iteration 7 of 1000:" [1] 0.5258736 [1] "Iteration 8 of 1000:" [1] 0.542404 [1] "Iteration 9 of 1000:" [1] 0.5358867 [1] "Iteration 10 of 1000:" [1] 0.5455636 [1] "Iteration 11 of 1000:" [1] 0.534421 [1] "Iteration 12 of 1000:" [1] 0.5269743 [1] "Iteration 13 of 1000:" [1] 0.4999012 [1] "Iteration 14 of 1000:" [1] 0.5067338 [1] "Iteration 15 of 1000:" [1] 0.5398562 [1] "Iteration 16 of 1000:" [1] 0.5542618 [1] "Iteration 17 of 1000:" [1] 0.5410138 [1] "Iteration 18 of 1000:" [1] 0.4824704 [1] "Iteration 19 of 1000:" [1] 0.5503333 [1] "Iteration 20 of 1000:" [1] 0.5253274 [1] "Iteration 21 of 1000:" [1] 0.5417795 [1] "Iteration 22 of 1000:" [1] 0.4994612 [1] "Iteration 23 of 1000:" [1] 0.525198 [1] "Iteration 24 of 1000:" [1] 0.5248858 [1] "Iteration 25 of 1000:" [1] 0.5677347 [1] "Iteration 26 of 1000:" [1] 0.5427071 [1] "Iteration 27 of 1000:" [1] 0.5123997 [1] "Iteration 28 of 1000:" [1] 0.5280741 [1] "Iteration 29 of 1000:" [1] 0.5313313 [1] "Iteration 30 of 1000:" [1] 0.524503 [1] "Iteration 31 of 1000:" [1] 0.5292861 [1] "Iteration 32 of 1000:" [1] 0.5053313 [1] "Iteration 33 of 1000:" [1] 0.546541 [1] "Iteration 34 of 1000:" [1] 0.5193331 [1] "Iteration 35 of 1000:" [1] 0.5034544 [1] "Iteration 36 of 1000:" [1] 0.5126784 [1] "Iteration 37 of 1000:" [1] 0.509609 [1] "Iteration 38 of 1000:" [1] 0.5239375 [1] "Iteration 39 of 1000:" [1] 0.5152376 [1] "Iteration 40 of 1000:" [1] 0.5051504 [1] "Iteration 41 of 1000:" [1] 0.5307667 [1] "Iteration 42 of 1000:" [1] 0.5314315 [1] "Iteration 43 of 1000:" [1] 0.518467 [1] "Iteration 44 of 1000:" [1] 0.5394315 [1] "Iteration 45 of 1000:" [1] 0.5296568 [1] "Iteration 46 of 1000:" [1] 0.5183032 [1] "Iteration 47 of 1000:" [1] 0.5352382 [1] "Iteration 48 of 1000:" [1] 0.5131954 [1] "Iteration 49 of 1000:" [1] 0.5550876 [1] "Iteration 50 of 1000:" [1] 0.5376168 [1] "Iteration 51 of 1000:" [1] 0.5270196 [1] "Iteration 52 of 1000:" [1] 0.5193674 [1] "Iteration 53 of 1000:" [1] 0.5444762 [1] "Iteration 54 of 1000:" [1] 0.5215483 [1] "Iteration 55 of 1000:" [1] 0.527269 [1] "Iteration 56 of 1000:" [1] 0.5396192 [1] "Iteration 57 of 1000:" [1] 0.5081533 [1] "Iteration 58 of 1000:" [1] 0.5463031 [1] "Iteration 59 of 1000:" [1] 0.516762 [1] "Iteration 60 of 1000:" [1] 0.544554 [1] "Iteration 61 of 1000:" [1] 0.5179579 [1] "Iteration 62 of 1000:" [1] 0.5257713 [1] "Iteration 63 of 1000:" [1] 0.5322955 [1] "Iteration 64 of 1000:" [1] 0.5419091 [1] "Iteration 65 of 1000:" [1] 0.5025355 [1] "Iteration 66 of 1000:" [1] 0.5368927 [1] "Iteration 67 of 1000:" [1] 0.5237647 [1] "Iteration 68 of 1000:" [1] 0.5571955 [1] "Iteration 69 of 1000:" [1] 0.4827993 [1] "Iteration 70 of 1000:" [1] 0.5283378 [1] "Iteration 71 of 1000:" [1] 0.5217369 [1] "Iteration 72 of 1000:" [1] 0.5233959 [1] "Iteration 73 of 1000:" [1] 0.5087637 [1] "Iteration 74 of 1000:" [1] 0.5253071 [1] "Iteration 75 of 1000:" [1] 0.5157583 [1] "Iteration 76 of 1000:" [1] 0.5543229 [1] "Iteration 77 of 1000:" [1] 0.4979554 [1] "Iteration 78 of 1000:" [1] 0.521193 [1] "Iteration 79 of 1000:" [1] 0.5346645 [1] "Iteration 80 of 1000:" [1] 0.5618627 [1] "Iteration 81 of 1000:" [1] 0.5354508 [1] "Iteration 82 of 1000:" [1] 0.5142135 [1] "Iteration 83 of 1000:" [1] 0.4866346 [1] "Iteration 84 of 1000:" [1] 0.5242479 [1] "Iteration 85 of 1000:" [1] 0.532417 [1] "Iteration 86 of 1000:" [1] 0.5199552 [1] "Iteration 87 of 1000:" [1] 0.5156333 [1] "Iteration 88 of 1000:" [1] 0.535332 [1] "Iteration 89 of 1000:" [1] 0.5115912 [1] "Iteration 90 of 1000:" [1] 0.5675404 [1] "Iteration 91 of 1000:" [1] 0.5177819 [1] "Iteration 92 of 1000:" [1] 0.5274505 [1] "Iteration 93 of 1000:" [1] 0.5099734 [1] "Iteration 94 of 1000:" [1] 0.5360207 [1] "Iteration 95 of 1000:" [1] 0.5145345 [1] "Iteration 96 of 1000:" [1] 0.5465871 [1] "Iteration 97 of 1000:" [1] 0.5727778 [1] "Iteration 98 of 1000:" [1] 0.5593865 [1] "Iteration 99 of 1000:" [1] 0.5163105 [1] "Iteration 100 of 1000:" [1] 0.5442684 [1] "Iteration 101 of 1000:" [1] 0.5103998 [1] "Iteration 102 of 1000:" [1] 0.5074921 [1] "Iteration 103 of 1000:" [1] 0.5584717 [1] "Iteration 104 of 1000:" [1] 0.5240063 [1] "Iteration 105 of 1000:" [1] 0.5219695 [1] "Iteration 106 of 1000:" [1] 0.5474135 [1] "Iteration 107 of 1000:" [1] 0.5342111 [1] "Iteration 108 of 1000:" [1] 0.5552645 [1] "Iteration 109 of 1000:" [1] 0.5394761 [1] "Iteration 110 of 1000:" [1] 0.5418664 [1] "Iteration 111 of 1000:" [1] 0.5372443 [1] "Iteration 112 of 1000:" [1] 0.539896 [1] "Iteration 113 of 1000:" [1] 0.5164999 [1] "Iteration 114 of 1000:" [1] 0.5325957 [1] "Iteration 115 of 1000:" [1] 0.5139448 [1] "Iteration 116 of 1000:" [1] 0.5245035 [1] "Iteration 117 of 1000:" [1] 0.5454403 [1] "Iteration 118 of 1000:" [1] 0.5052438 [1] "Iteration 119 of 1000:" [1] 0.5348489 [1] "Iteration 120 of 1000:" [1] 0.4702256 [1] "Iteration 121 of 1000:" [1] 0.4935046 [1] "Iteration 122 of 1000:" [1] 0.538173 [1] "Iteration 123 of 1000:" [1] 0.5097073 [1] "Iteration 124 of 1000:" [1] 0.5375545 [1] "Iteration 125 of 1000:" [1] 0.557749 [1] "Iteration 126 of 1000:" [1] 0.5261646 [1] "Iteration 127 of 1000:" [1] 0.5736306 [1] "Iteration 128 of 1000:" [1] 0.5220618 [1] "Iteration 129 of 1000:" [1] 0.5554832 [1] "Iteration 130 of 1000:" [1] 0.5205167 [1] "Iteration 131 of 1000:" [1] 0.5233026 [1] "Iteration 132 of 1000:" [1] 0.5117782 [1] "Iteration 133 of 1000:" [1] 0.5214183 [1] "Iteration 134 of 1000:" [1] 0.5441446 [1] "Iteration 135 of 1000:" [1] 0.556484 [1] "Iteration 136 of 1000:" [1] 0.4874386 [1] "Iteration 137 of 1000:" [1] 0.5219204 [1] "Iteration 138 of 1000:" [1] 0.5127822 [1] "Iteration 139 of 1000:" [1] 0.5172969 [1] "Iteration 140 of 1000:" [1] 0.5285948 [1] "Iteration 141 of 1000:" [1] 0.4866346 [1] "Iteration 142 of 1000:" [1] 0.5332003 [1] "Iteration 143 of 1000:" [1] 0.4924855 [1] "Iteration 144 of 1000:" [1] 0.5249991 [1] "Iteration 145 of 1000:" [1] 0.5310712 [1] "Iteration 146 of 1000:" [1] 0.525764 [1] "Iteration 147 of 1000:" [1] 0.5142867 [1] "Iteration 148 of 1000:" [1] 0.4965578 [1] "Iteration 149 of 1000:" [1] 0.5648142 [1] "Iteration 150 of 1000:" [1] 0.5756515 [1] "Iteration 151 of 1000:" [1] 0.5072709 [1] "Iteration 152 of 1000:" [1] 0.5442544 [1] "Iteration 153 of 1000:" [1] 0.5730197 [1] "Iteration 154 of 1000:" [1] 0.4936185 [1] "Iteration 155 of 1000:" [1] 0.5485038 [1] "Iteration 156 of 1000:" [1] 0.5012806 [1] "Iteration 157 of 1000:" [1] 0.5272598 [1] "Iteration 158 of 1000:" [1] 0.5610909 [1] "Iteration 159 of 1000:" [1] 0.4821609 [1] "Iteration 160 of 1000:" [1] 0.5238184 [1] "Iteration 161 of 1000:" [1] 0.5363197 [1] "Iteration 162 of 1000:" [1] 0.5298382 [1] "Iteration 163 of 1000:" [1] 0.5464643 [1] "Iteration 164 of 1000:" [1] 0.5238805 [1] "Iteration 165 of 1000:" [1] 0.5071145 [1] "Iteration 166 of 1000:" [1] 0.5398674 [1] "Iteration 167 of 1000:" [1] 0.5128029 [1] "Iteration 168 of 1000:" [1] 0.50528 [1] "Iteration 169 of 1000:" [1] 0.5248451 [1] "Iteration 170 of 1000:" [1] 0.5102311 [1] "Iteration 171 of 1000:" [1] 0.5476506 [1] "Iteration 172 of 1000:" [1] 0.4994506 [1] "Iteration 173 of 1000:" [1] 0.5205167 [1] "Iteration 174 of 1000:" [1] 0.5463028 [1] "Iteration 175 of 1000:" [1] 0.5333759 [1] "Iteration 176 of 1000:" [1] 0.5523097 [1] "Iteration 177 of 1000:" [1] 0.5725582 [1] "Iteration 178 of 1000:" [1] 0.5613124 [1] "Iteration 179 of 1000:" [1] 0.5070382 [1] "Iteration 180 of 1000:" [1] 0.5333502 [1] "Iteration 181 of 1000:" [1] 0.5414009 [1] "Iteration 182 of 1000:" [1] 0.5076539 [1] "Iteration 183 of 1000:" [1] 0.4952282 [1] "Iteration 184 of 1000:" [1] 0.5074667 [1] "Iteration 185 of 1000:" [1] 0.5105191 [1] "Iteration 186 of 1000:" [1] 0.5186545 [1] "Iteration 187 of 1000:" [1] 0.5462534 [1] "Iteration 188 of 1000:" [1] 0.5010816 [1] "Iteration 189 of 1000:" [1] 0.5479797 [1] "Iteration 190 of 1000:" [1] 0.5125244 [1] "Iteration 191 of 1000:" [1] 0.5503564 [1] "Iteration 192 of 1000:" [1] 0.5726915 [1] "Iteration 193 of 1000:" [1] 0.5676273 [1] "Iteration 194 of 1000:" [1] 0.5311624 [1] "Iteration 195 of 1000:" [1] 0.5494241 [1] "Iteration 196 of 1000:" [1] 0.5082318 [1] "Iteration 197 of 1000:" [1] 0.4837385 [1] "Iteration 198 of 1000:" [1] 0.5220206 [1] "Iteration 199 of 1000:" [1] 0.5045178 [1] "Iteration 200 of 1000:" [1] 0.5555316 [1] "Iteration 201 of 1000:" [1] 0.5314419 [1] "Iteration 202 of 1000:" [1] 0.5347124 [1] "Iteration 203 of 1000:" [1] 0.5579292 [1] "Iteration 204 of 1000:" [1] 0.5168019 [1] "Iteration 205 of 1000:" [1] 0.5064333 [1] "Iteration 206 of 1000:" [1] 0.5635122 [1] "Iteration 207 of 1000:" [1] 0.5277412 [1] "Iteration 208 of 1000:" [1] 0.564098 [1] "Iteration 209 of 1000:" [1] 0.5269861 [1] "Iteration 210 of 1000:" [1] 0.5272657 [1] "Iteration 211 of 1000:" [1] 0.4988523 [1] "Iteration 212 of 1000:" [1] 0.5271897 [1] "Iteration 213 of 1000:" [1] 0.4991529 [1] "Iteration 214 of 1000:" [1] 0.5465849 [1] "Iteration 215 of 1000:" [1] 0.5443894 [1] "Iteration 216 of 1000:" [1] 0.5040313 [1] "Iteration 217 of 1000:" [1] 0.5220928 [1] "Iteration 218 of 1000:" [1] 0.5518205 [1] "Iteration 219 of 1000:" [1] 0.5709329 [1] "Iteration 220 of 1000:" [1] 0.5032146 [1] "Iteration 221 of 1000:" [1] 0.535128 [1] "Iteration 222 of 1000:" [1] 0.512551 [1] "Iteration 223 of 1000:" [1] 0.5333212 [1] "Iteration 224 of 1000:" [1] 0.4684024 [1] "Iteration 225 of 1000:" [1] 0.5166326 [1] "Iteration 226 of 1000:" [1] 0.5232009 [1] "Iteration 227 of 1000:" [1] 0.5368116 [1] "Iteration 228 of 1000:" [1] 0.5034111 [1] "Iteration 229 of 1000:" [1] 0.5398911 [1] "Iteration 230 of 1000:" [1] 0.5478575 [1] "Iteration 231 of 1000:" [1] 0.5317562 [1] "Iteration 232 of 1000:" [1] 0.5141339 [1] "Iteration 233 of 1000:" [1] 0.488624 [1] "Iteration 234 of 1000:" [1] 0.5521264 [1] "Iteration 235 of 1000:" [1] 0.5074399 [1] "Iteration 236 of 1000:" [1] 0.5067639 [1] "Iteration 237 of 1000:" [1] 0.5250989 [1] "Iteration 238 of 1000:" [1] 0.4954313 [1] "Iteration 239 of 1000:" [1] 0.508913 [1] "Iteration 240 of 1000:" [1] 0.487741 [1] "Iteration 241 of 1000:" [1] 0.4723436 [1] "Iteration 242 of 1000:" [1] 0.5435548 [1] "Iteration 243 of 1000:" [1] 0.5150194 [1] "Iteration 244 of 1000:" [1] 0.5336709 [1] "Iteration 245 of 1000:" [1] 0.4804639 [1] "Iteration 246 of 1000:" [1] 0.5209628 [1] "Iteration 247 of 1000:" [1] 0.5250659 [1] "Iteration 248 of 1000:" [1] 0.4778305 [1] "Iteration 249 of 1000:" [1] 0.5713441 [1] "Iteration 250 of 1000:" [1] 0.5002796 [1] "Iteration 251 of 1000:" [1] 0.5447491 [1] "Iteration 252 of 1000:" [1] 0.5084662 [1] "Iteration 253 of 1000:" [1] 0.5096202 [1] "Iteration 254 of 1000:" [1] 0.5391678 [1] "Iteration 255 of 1000:" [1] 0.5489515 [1] "Iteration 256 of 1000:" [1] 0.554405 [1] "Iteration 257 of 1000:" [1] 0.4983767 [1] "Iteration 258 of 1000:" [1] 0.5492845 [1] "Iteration 259 of 1000:" [1] 0.5197686 [1] "Iteration 260 of 1000:" [1] 0.5235526 [1] "Iteration 261 of 1000:" [1] 0.5388979 [1] "Iteration 262 of 1000:" [1] 0.5508126 [1] "Iteration 263 of 1000:" [1] 0.560459 [1] "Iteration 264 of 1000:" [1] 0.5200576 [1] "Iteration 265 of 1000:" [1] 0.5440231 [1] "Iteration 266 of 1000:" [1] 0.517465 [1] "Iteration 267 of 1000:" [1] 0.4887572 [1] "Iteration 268 of 1000:" [1] 0.5315076 [1] "Iteration 269 of 1000:" [1] 0.5619844 [1] "Iteration 270 of 1000:" [1] 0.5486369 [1] "Iteration 271 of 1000:" [1] 0.5580005 [1] "Iteration 272 of 1000:" [1] 0.5526219 [1] "Iteration 273 of 1000:" [1] 0.5462823 [1] "Iteration 274 of 1000:" [1] 0.5457535 [1] "Iteration 275 of 1000:" [1] 0.4917223 [1] "Iteration 276 of 1000:" [1] 0.5057913 [1] "Iteration 277 of 1000:" [1] 0.5470205 [1] "Iteration 278 of 1000:" [1] 0.5530837 [1] "Iteration 279 of 1000:" [1] 0.5154995 [1] "Iteration 280 of 1000:" [1] 0.4776092 [1] "Iteration 281 of 1000:" [1] 0.509594 [1] "Iteration 282 of 1000:" [1] 0.548155 [1] "Iteration 283 of 1000:" [1] 0.5331721 [1] "Iteration 284 of 1000:" [1] 0.5109691 [1] "Iteration 285 of 1000:" [1] 0.540714 [1] "Iteration 286 of 1000:" [1] 0.5324394 [1] "Iteration 287 of 1000:" [1] 0.5103036 [1] "Iteration 288 of 1000:" [1] 0.5128682 [1] "Iteration 289 of 1000:" [1] 0.5666134 [1] "Iteration 290 of 1000:" [1] 0.5133018 [1] "Iteration 291 of 1000:" [1] 0.4895938 [1] "Iteration 292 of 1000:" [1] 0.5226897 [1] "Iteration 293 of 1000:" [1] 0.5087101 [1] "Iteration 294 of 1000:" [1] 0.5162142 [1] "Iteration 295 of 1000:" [1] 0.4729452 [1] "Iteration 296 of 1000:" [1] 0.5288566 [1] "Iteration 297 of 1000:" [1] 0.5116074 [1] "Iteration 298 of 1000:" [1] 0.485263 [1] "Iteration 299 of 1000:" [1] 0.5365763 [1] "Iteration 300 of 1000:" [1] 0.4947652 [1] "Iteration 301 of 1000:" [1] 0.5394532 [1] "Iteration 302 of 1000:" [1] 0.4834233 [1] "Iteration 303 of 1000:" [1] 0.570999 [1] "Iteration 304 of 1000:" [1] 0.5521973 [1] "Iteration 305 of 1000:" [1] 0.5612378 [1] "Iteration 306 of 1000:" [1] 0.5386861 [1] "Iteration 307 of 1000:" [1] 0.5096563 [1] "Iteration 308 of 1000:" [1] 0.5374228 [1] "Iteration 309 of 1000:" [1] 0.5093598 [1] "Iteration 310 of 1000:" [1] 0.501298 [1] "Iteration 311 of 1000:" [1] 0.5298766 [1] "Iteration 312 of 1000:" [1] 0.5146496 [1] "Iteration 313 of 1000:" [1] 0.5455451 [1] "Iteration 314 of 1000:" [1] 0.5090429 [1] "Iteration 315 of 1000:" [1] 0.5234601 [1] "Iteration 316 of 1000:" [1] 0.5567445 [1] "Iteration 317 of 1000:" [1] 0.5148709 [1] "Iteration 318 of 1000:" [1] 0.5048016 [1] "Iteration 319 of 1000:" [1] 0.535332 [1] "Iteration 320 of 1000:" [1] 0.5452826 [1] "Iteration 321 of 1000:" [1] 0.4992255 [1] "Iteration 322 of 1000:" [1] 0.5073171 [1] "Iteration 323 of 1000:" [1] 0.5294172 [1] "Iteration 324 of 1000:" [1] 0.4969752 [1] "Iteration 325 of 1000:" [1] 0.509691 [1] "Iteration 326 of 1000:" [1] 0.5638641 [1] "Iteration 327 of 1000:" [1] 0.4999594 [1] "Iteration 328 of 1000:" [1] 0.5308509 [1] "Iteration 329 of 1000:" [1] 0.5351005 [1] "Iteration 330 of 1000:" [1] 0.5133631 [1] "Iteration 331 of 1000:" [1] 0.4714934 [1] "Iteration 332 of 1000:" [1] 0.5446095 [1] "Iteration 333 of 1000:" [1] 0.5633071 [1] "Iteration 334 of 1000:" [1] 0.5278586 [1] "Iteration 335 of 1000:" [1] 0.576205 [1] "Iteration 336 of 1000:" [1] 0.5208303 [1] "Iteration 337 of 1000:" [1] 0.534135 [1] "Iteration 338 of 1000:" [1] 0.4870515 [1] "Iteration 339 of 1000:" [1] 0.5413289 [1] "Iteration 340 of 1000:" [1] 0.5438801 [1] "Iteration 341 of 1000:" [1] 0.5116921 [1] "Iteration 342 of 1000:" [1] 0.5299979 [1] "Iteration 343 of 1000:" [1] 0.5066988 [1] "Iteration 344 of 1000:" [1] 0.5433135 [1] "Iteration 345 of 1000:" [1] 0.5119049 [1] "Iteration 346 of 1000:" [1] 0.5186568 [1] "Iteration 347 of 1000:" [1] 0.5044557 [1] "Iteration 348 of 1000:" [1] 0.500983 [1] "Iteration 349 of 1000:" [1] 0.5208985 [1] "Iteration 350 of 1000:" [1] 0.5078212 [1] "Iteration 351 of 1000:" [1] 0.5205167 [1] "Iteration 352 of 1000:" [1] 0.507692 [1] "Iteration 353 of 1000:" [1] 0.5372591 [1] "Iteration 354 of 1000:" [1] 0.5121807 [1] "Iteration 355 of 1000:" [1] 0.5124598 [1] "Iteration 356 of 1000:" [1] 0.5441033 [1] "Iteration 357 of 1000:" [1] 0.5553316 [1] "Iteration 358 of 1000:" [1] 0.5255498 [1] "Iteration 359 of 1000:" [1] 0.515261 [1] "Iteration 360 of 1000:" [1] 0.5184743 [1] "Iteration 361 of 1000:" [1] 0.5126584 [1] "Iteration 362 of 1000:" [1] 0.5221393 [1] "Iteration 363 of 1000:" [1] 0.5217881 [1] "Iteration 364 of 1000:" [1] 0.5040889 [1] "Iteration 365 of 1000:" [1] 0.5724979 [1] "Iteration 366 of 1000:" [1] 0.5160725 [1] "Iteration 367 of 1000:" [1] 0.4871371 [1] "Iteration 368 of 1000:" [1] 0.5546813 [1] "Iteration 369 of 1000:" [1] 0.5082226 [1] "Iteration 370 of 1000:" [1] 0.5381706 [1] "Iteration 371 of 1000:" [1] 0.5051588 [1] "Iteration 372 of 1000:" [1] 0.5785554 [1] "Iteration 373 of 1000:" [1] 0.5462646 [1] "Iteration 374 of 1000:" [1] 0.5578711 [1] "Iteration 375 of 1000:" [1] 0.4805042 [1] "Iteration 376 of 1000:" [1] 0.5195783 [1] "Iteration 377 of 1000:" [1] 0.5364873 [1] "Iteration 378 of 1000:" [1] 0.5507773 [1] "Iteration 379 of 1000:" [1] 0.5721751 [1] "Iteration 380 of 1000:" [1] 0.5599716 [1] "Iteration 381 of 1000:" [1] 0.5621176 [1] "Iteration 382 of 1000:" [1] 0.5112501 [1] "Iteration 383 of 1000:" [1] 0.5096563 [1] "Iteration 384 of 1000:" [1] 0.4803184 [1] "Iteration 385 of 1000:" [1] 0.5142106 [1] "Iteration 386 of 1000:" [1] 0.533848 [1] "Iteration 387 of 1000:" [1] 0.4983445 [1] "Iteration 388 of 1000:" [1] 0.5650685 [1] "Iteration 389 of 1000:" [1] 0.5296263 [1] "Iteration 390 of 1000:" [1] 0.5103859 [1] "Iteration 391 of 1000:" [1] 0.5346116 [1] "Iteration 392 of 1000:" [1] 0.5504296 [1] "Iteration 393 of 1000:" [1] 0.4929985 [1] "Iteration 394 of 1000:" [1] 0.5093191 [1] "Iteration 395 of 1000:" [1] 0.5064582 [1] "Iteration 396 of 1000:" [1] 0.5190536 [1] "Iteration 397 of 1000:" [1] 0.5403021 [1] "Iteration 398 of 1000:" [1] 0.5520219 [1] "Iteration 399 of 1000:" [1] 0.5157537 [1] "Iteration 400 of 1000:" [1] 0.5138373 [1] "Iteration 401 of 1000:" [1] 0.519321 [1] "Iteration 402 of 1000:" [1] 0.5365132 [1] "Iteration 403 of 1000:" [1] 0.5209472 [1] "Iteration 404 of 1000:" [1] 0.4986976 [1] "Iteration 405 of 1000:" [1] 0.4934716 [1] "Iteration 406 of 1000:" [1] 0.5130594 [1] "Iteration 407 of 1000:" [1] 0.4985865 [1] "Iteration 408 of 1000:" [1] 0.5325049 [1] "Iteration 409 of 1000:" [1] 0.5162672 [1] "Iteration 410 of 1000:" [1] 0.5469853 [1] "Iteration 411 of 1000:" [1] 0.5291027 [1] "Iteration 412 of 1000:" [1] 0.4957615 [1] "Iteration 413 of 1000:" [1] 0.5608071 [1] "Iteration 414 of 1000:" [1] 0.5481188 [1] "Iteration 415 of 1000:" [1] 0.5407242 [1] "Iteration 416 of 1000:" [1] 0.5555369 [1] "Iteration 417 of 1000:" [1] 0.4854796 [1] "Iteration 418 of 1000:" [1] 0.5195155 [1] "Iteration 419 of 1000:" [1] 0.5908744 [1] "Iteration 420 of 1000:" [1] 0.51455 [1] "Iteration 421 of 1000:" [1] 0.4926013 [1] "Iteration 422 of 1000:" [1] 0.5270381 [1] "Iteration 423 of 1000:" [1] 0.5045241 [1] "Iteration 424 of 1000:" [1] 0.5276371 [1] "Iteration 425 of 1000:" [1] 0.5250763 [1] "Iteration 426 of 1000:" [1] 0.55787 [1] "Iteration 427 of 1000:" [1] 0.4938659 [1] "Iteration 428 of 1000:" [1] 0.5193895 [1] "Iteration 429 of 1000:" [1] 0.5519078 [1] "Iteration 430 of 1000:" [1] 0.5034668 [1] "Iteration 431 of 1000:" [1] 0.5091694 [1] "Iteration 432 of 1000:" [1] 0.5211331 [1] "Iteration 433 of 1000:" [1] 0.5590976 [1] "Iteration 434 of 1000:" [1] 0.4815056 [1] "Iteration 435 of 1000:" [1] 0.5404367 [1] "Iteration 436 of 1000:" [1] 0.5168346 [1] "Iteration 437 of 1000:" [1] 0.5399028 [1] "Iteration 438 of 1000:" [1] 0.5430242 [1] "Iteration 439 of 1000:" [1] 0.5210957 [1] "Iteration 440 of 1000:" [1] 0.513152 [1] "Iteration 441 of 1000:" [1] 0.5306868 [1] "Iteration 442 of 1000:" [1] 0.5385657 [1] "Iteration 443 of 1000:" [1] 0.5085973 [1] "Iteration 444 of 1000:" [1] 0.5447841 [1] "Iteration 445 of 1000:" [1] 0.5479797 [1] "Iteration 446 of 1000:" [1] 0.5276126 [1] "Iteration 447 of 1000:" [1] 0.5044893 [1] "Iteration 448 of 1000:" [1] 0.5456698 [1] "Iteration 449 of 1000:" [1] 0.5465305 [1] "Iteration 450 of 1000:" [1] 0.5317622 [1] "Iteration 451 of 1000:" [1] 0.5525818 [1] "Iteration 452 of 1000:" [1] 0.5441937 [1] "Iteration 453 of 1000:" [1] 0.5392703 [1] "Iteration 454 of 1000:" [1] 0.5577032 [1] "Iteration 455 of 1000:" [1] 0.5152823 [1] "Iteration 456 of 1000:" [1] 0.5599463 [1] "Iteration 457 of 1000:" [1] 0.4969176 [1] "Iteration 458 of 1000:" [1] 0.5267189 [1] "Iteration 459 of 1000:" [1] 0.509653 [1] "Iteration 460 of 1000:" [1] 0.5217927 [1] "Iteration 461 of 1000:" [1] 0.539317 [1] "Iteration 462 of 1000:" [1] 0.5277353 [1] "Iteration 463 of 1000:" [1] 0.5074564 [1] "Iteration 464 of 1000:" [1] 0.5325614 [1] "Iteration 465 of 1000:" [1] 0.4963617 [1] "Iteration 466 of 1000:" [1] 0.5553614 [1] "Iteration 467 of 1000:" [1] 0.5621176 [1] "Iteration 468 of 1000:" [1] 0.5057012 [1] "Iteration 469 of 1000:" [1] 0.5749848 [1] "Iteration 470 of 1000:" [1] 0.5668808 [1] "Iteration 471 of 1000:" [1] 0.5354218 [1] "Iteration 472 of 1000:" [1] 0.5269382 [1] "Iteration 473 of 1000:" [1] 0.5342667 [1] "Iteration 474 of 1000:" [1] 0.5402312 [1] "Iteration 475 of 1000:" [1] 0.5360786 [1] "Iteration 476 of 1000:" [1] 0.529258 [1] "Iteration 477 of 1000:" [1] 0.5263578 [1] "Iteration 478 of 1000:" [1] 0.5211329 [1] "Iteration 479 of 1000:" [1] 0.5151551 [1] "Iteration 480 of 1000:" [1] 0.535973 [1] "Iteration 481 of 1000:" [1] 0.5105798 [1] "Iteration 482 of 1000:" [1] 0.5315097 [1] "Iteration 483 of 1000:" [1] 0.5208982 [1] "Iteration 484 of 1000:" [1] 0.520547 [1] "Iteration 485 of 1000:" [1] 0.5305066 [1] "Iteration 486 of 1000:" [1] 0.5218795 [1] "Iteration 487 of 1000:" [1] 0.5472548 [1] "Iteration 488 of 1000:" [1] 0.5084834 [1] "Iteration 489 of 1000:" [1] 0.5055054 [1] "Iteration 490 of 1000:" [1] 0.5384186 [1] "Iteration 491 of 1000:" [1] 0.5493877 [1] "Iteration 492 of 1000:" [1] 0.5400266 [1] "Iteration 493 of 1000:" [1] 0.5235834 [1] "Iteration 494 of 1000:" [1] 0.5374486 [1] "Iteration 495 of 1000:" [1] 0.5400677 [1] "Iteration 496 of 1000:" [1] 0.5098319 [1] "Iteration 497 of 1000:" [1] 0.5394735 [1] "Iteration 498 of 1000:" [1] 0.5285887 [1] "Iteration 499 of 1000:" [1] 0.5139917 [1] "Iteration 500 of 1000:" [1] 0.5754322 [1] "Iteration 501 of 1000:" [1] 0.5307355 [1] "Iteration 502 of 1000:" [1] 0.5272607 [1] "Iteration 503 of 1000:" [1] 0.5144397 [1] "Iteration 504 of 1000:" [1] 0.5256735 [1] "Iteration 505 of 1000:" [1] 0.5782561 [1] "Iteration 506 of 1000:" [1] 0.557674 [1] "Iteration 507 of 1000:" [1] 0.4992136 [1] "Iteration 508 of 1000:" [1] 0.5526932 [1] "Iteration 509 of 1000:" [1] 0.5197314 [1] "Iteration 510 of 1000:" [1] 0.5164968 [1] "Iteration 511 of 1000:" [1] 0.516311 [1] "Iteration 512 of 1000:" [1] 0.5278631 [1] "Iteration 513 of 1000:" [1] 0.5481277 [1] "Iteration 514 of 1000:" [1] 0.5187903 [1] "Iteration 515 of 1000:" [1] 0.5448349 [1] "Iteration 516 of 1000:" [1] 0.554662 [1] "Iteration 517 of 1000:" [1] 0.5532863 [1] "Iteration 518 of 1000:" [1] 0.5528373 [1] "Iteration 519 of 1000:" [1] 0.4977897 [1] "Iteration 520 of 1000:" [1] 0.4957693 [1] "Iteration 521 of 1000:" [1] 0.5641151 [1] "Iteration 522 of 1000:" [1] 0.5328504 [1] "Iteration 523 of 1000:" [1] 0.5375771 [1] "Iteration 524 of 1000:" [1] 0.5420066 [1] "Iteration 525 of 1000:" [1] 0.5735689 [1] "Iteration 526 of 1000:" [1] 0.5300028 [1] "Iteration 527 of 1000:" [1] 0.518114 [1] "Iteration 528 of 1000:" [1] 0.5285611 [1] "Iteration 529 of 1000:" [1] 0.5132225 [1] "Iteration 530 of 1000:" [1] 0.5518795 [1] "Iteration 531 of 1000:" [1] 0.5143979 [1] "Iteration 532 of 1000:" [1] 0.5436531 [1] "Iteration 533 of 1000:" [1] 0.5378142 [1] "Iteration 534 of 1000:" [1] 0.4854942 [1] "Iteration 535 of 1000:" [1] 0.5338387 [1] "Iteration 536 of 1000:" [1] 0.5354266 [1] "Iteration 537 of 1000:" [1] 0.5532314 [1] "Iteration 538 of 1000:" [1] 0.5550928 [1] "Iteration 539 of 1000:" [1] 0.5322079 [1] "Iteration 540 of 1000:" [1] 0.5503564 [1] "Iteration 541 of 1000:" [1] 0.5456682 [1] "Iteration 542 of 1000:" [1] 0.523054 [1] "Iteration 543 of 1000:" [1] 0.5518007 [1] "Iteration 544 of 1000:" [1] 0.5153297 [1] "Iteration 545 of 1000:" [1] 0.5674318 [1] "Iteration 546 of 1000:" [1] 0.513639 [1] "Iteration 547 of 1000:" [1] 0.508346 [1] "Iteration 548 of 1000:" [1] 0.5296181 [1] "Iteration 549 of 1000:" [1] 0.4883613 [1] "Iteration 550 of 1000:" [1] 0.569566 [1] "Iteration 551 of 1000:" [1] 0.5744366 [1] "Iteration 552 of 1000:" [1] 0.523519 [1] "Iteration 553 of 1000:" [1] 0.5391826 [1] "Iteration 554 of 1000:" [1] 0.5139834 [1] "Iteration 555 of 1000:" [1] 0.5346789 [1] "Iteration 556 of 1000:" [1] 0.5315097 [1] "Iteration 557 of 1000:" [1] 0.5214892 [1] "Iteration 558 of 1000:" [1] 0.53948 [1] "Iteration 559 of 1000:" [1] 0.5125159 [1] "Iteration 560 of 1000:" [1] 0.5218669 [1] "Iteration 561 of 1000:" [1] 0.526541 [1] "Iteration 562 of 1000:" [1] 0.5396919 [1] "Iteration 563 of 1000:" [1] 0.5051279 [1] "Iteration 564 of 1000:" [1] 0.539944 [1] "Iteration 565 of 1000:" [1] 0.5282469 [1] "Iteration 566 of 1000:" [1] 0.5457778 [1] "Iteration 567 of 1000:" [1] 0.5153603 [1] "Iteration 568 of 1000:" [1] 0.5159005 [1] "Iteration 569 of 1000:" [1] 0.5564096 [1] "Iteration 570 of 1000:" [1] 0.5009433 [1] "Iteration 571 of 1000:" [1] 0.5287818 [1] "Iteration 572 of 1000:" [1] 0.5440962 [1] "Iteration 573 of 1000:" [1] 0.5389196 [1] "Iteration 574 of 1000:" [1] 0.5291084 [1] "Iteration 575 of 1000:" [1] 0.5598327 [1] "Iteration 576 of 1000:" [1] 0.50562 [1] "Iteration 577 of 1000:" [1] 0.4785619 [1] "Iteration 578 of 1000:" [1] 0.5651759 [1] "Iteration 579 of 1000:" [1] 0.5563847 [1] "Iteration 580 of 1000:" [1] 0.5319042 [1] "Iteration 581 of 1000:" [1] 0.5212135 [1] "Iteration 582 of 1000:" [1] 0.5058783 [1] "Iteration 583 of 1000:" [1] 0.5618839 [1] "Iteration 584 of 1000:" [1] 0.5379318 [1] "Iteration 585 of 1000:" [1] 0.5730076 [1] "Iteration 586 of 1000:" [1] 0.5362061 [1] "Iteration 587 of 1000:" [1] 0.4831567 [1] "Iteration 588 of 1000:" [1] 0.5405817 [1] "Iteration 589 of 1000:" [1] 0.5475595 [1] "Iteration 590 of 1000:" [1] 0.5350728 [1] "Iteration 591 of 1000:" [1] 0.518982 [1] "Iteration 592 of 1000:" [1] 0.532754 [1] "Iteration 593 of 1000:" [1] 0.4988193 [1] "Iteration 594 of 1000:" [1] 0.5539521 [1] "Iteration 595 of 1000:" [1] 0.5250863 [1] "Iteration 596 of 1000:" [1] 0.5442639 [1] "Iteration 597 of 1000:" [1] 0.5385747 [1] "Iteration 598 of 1000:" [1] 0.5214305 [1] "Iteration 599 of 1000:" [1] 0.542339 [1] "Iteration 600 of 1000:" [1] 0.5359839 [1] "Iteration 601 of 1000:" [1] 0.4916997 [1] "Iteration 602 of 1000:" [1] 0.5089546 [1] "Iteration 603 of 1000:" [1] 0.5435526 [1] "Iteration 604 of 1000:" [1] 0.4956643 [1] "Iteration 605 of 1000:" [1] 0.5445528 [1] "Iteration 606 of 1000:" [1] 0.5307416 [1] "Iteration 607 of 1000:" [1] 0.5305769 [1] "Iteration 608 of 1000:" [1] 0.5628934 [1] "Iteration 609 of 1000:" [1] 0.5299757 [1] "Iteration 610 of 1000:" [1] 0.542597 [1] "Iteration 611 of 1000:" [1] 0.5036925 [1] "Iteration 612 of 1000:" [1] 0.4845786 [1] "Iteration 613 of 1000:" [1] 0.5525818 [1] "Iteration 614 of 1000:" [1] 0.5291884 [1] "Iteration 615 of 1000:" [1] 0.5195985 [1] "Iteration 616 of 1000:" [1] 0.5183191 [1] "Iteration 617 of 1000:" [1] 0.572343 [1] "Iteration 618 of 1000:" [1] 0.5373308 [1] "Iteration 619 of 1000:" [1] 0.5194765 [1] "Iteration 620 of 1000:" [1] 0.4992655 [1] "Iteration 621 of 1000:" [1] 0.5709784 [1] "Iteration 622 of 1000:" [1] 0.5074096 [1] "Iteration 623 of 1000:" [1] 0.5015546 [1] "Iteration 624 of 1000:" [1] 0.5596402 [1] "Iteration 625 of 1000:" [1] 0.526386 [1] "Iteration 626 of 1000:" [1] 0.533462 [1] "Iteration 627 of 1000:" [1] 0.5085729 [1] "Iteration 628 of 1000:" [1] 0.5451673 [1] "Iteration 629 of 1000:" [1] 0.5393802 [1] "Iteration 630 of 1000:" [1] 0.5141146 [1] "Iteration 631 of 1000:" [1] 0.4922513 [1] "Iteration 632 of 1000:" [1] 0.5272562 [1] "Iteration 633 of 1000:" [1] 0.5011313 [1] "Iteration 634 of 1000:" [1] 0.5284538 [1] "Iteration 635 of 1000:" [1] 0.5553628 [1] "Iteration 636 of 1000:" [1] 0.5239937 [1] "Iteration 637 of 1000:" [1] 0.5829722 [1] "Iteration 638 of 1000:" [1] 0.4888567 [1] "Iteration 639 of 1000:" [1] 0.5014209 [1] "Iteration 640 of 1000:" [1] 0.4705046 [1] "Iteration 641 of 1000:" [1] 0.5487612 [1] "Iteration 642 of 1000:" [1] 0.5394444 [1] "Iteration 643 of 1000:" [1] 0.4931549 [1] "Iteration 644 of 1000:" [1] 0.5488723 [1] "Iteration 645 of 1000:" [1] 0.5215674 [1] "Iteration 646 of 1000:" [1] 0.5493873 [1] "Iteration 647 of 1000:" [1] 0.5346861 [1] "Iteration 648 of 1000:" [1] 0.4923371 [1] "Iteration 649 of 1000:" [1] 0.518307 [1] "Iteration 650 of 1000:" [1] 0.4976475 [1] "Iteration 651 of 1000:" [1] 0.4879223 [1] "Iteration 652 of 1000:" [1] 0.5045312 [1] "Iteration 653 of 1000:" [1] 0.5103957 [1] "Iteration 654 of 1000:" [1] 0.5501593 [1] "Iteration 655 of 1000:" [1] 0.5577199 [1] "Iteration 656 of 1000:" [1] 0.5301228 [1] "Iteration 657 of 1000:" [1] 0.5172233 [1] "Iteration 658 of 1000:" [1] 0.5405537 [1] "Iteration 659 of 1000:" [1] 0.5499031 [1] "Iteration 660 of 1000:" [1] 0.5498717 [1] "Iteration 661 of 1000:" [1] 0.5290227 [1] "Iteration 662 of 1000:" [1] 0.5500121 [1] "Iteration 663 of 1000:" [1] 0.5284141 [1] "Iteration 664 of 1000:" [1] 0.4850359 [1] "Iteration 665 of 1000:" [1] 0.5370327 [1] "Iteration 666 of 1000:" [1] 0.5231483 [1] "Iteration 667 of 1000:" [1] 0.5548629 [1] "Iteration 668 of 1000:" [1] 0.4870866 [1] "Iteration 669 of 1000:" [1] 0.4923252 [1] "Iteration 670 of 1000:" [1] 0.5466272 [1] "Iteration 671 of 1000:" [1] 0.49688 [1] "Iteration 672 of 1000:" [1] 0.5286804 [1] "Iteration 673 of 1000:" [1] 0.4993928 [1] "Iteration 674 of 1000:" [1] 0.4961286 [1] "Iteration 675 of 1000:" [1] 0.5139047 [1] "Iteration 676 of 1000:" [1] 0.4910567 [1] "Iteration 677 of 1000:" [1] 0.5408007 [1] "Iteration 678 of 1000:" [1] 0.4959029 [1] "Iteration 679 of 1000:" [1] 0.5712933 [1] "Iteration 680 of 1000:" [1] 0.521536 [1] "Iteration 681 of 1000:" [1] 0.5039328 [1] "Iteration 682 of 1000:" [1] 0.4986801 [1] "Iteration 683 of 1000:" [1] 0.5279165 [1] "Iteration 684 of 1000:" [1] 0.5187406 [1] "Iteration 685 of 1000:" [1] 0.5354828 [1] "Iteration 686 of 1000:" [1] 0.5002422 [1] "Iteration 687 of 1000:" [1] 0.5325964 [1] "Iteration 688 of 1000:" [1] 0.5304481 [1] "Iteration 689 of 1000:" [1] 0.5712128 [1] "Iteration 690 of 1000:" [1] 0.5288087 [1] "Iteration 691 of 1000:" [1] 0.5177878 [1] "Iteration 692 of 1000:" [1] 0.5419514 [1] "Iteration 693 of 1000:" [1] 0.477601 [1] "Iteration 694 of 1000:" [1] 0.5446507 [1] "Iteration 695 of 1000:" [1] 0.5116856 [1] "Iteration 696 of 1000:" [1] 0.5482223 [1] "Iteration 697 of 1000:" [1] 0.5822582 [1] "Iteration 698 of 1000:" [1] 0.5127923 [1] "Iteration 699 of 1000:" [1] 0.5576018 [1] "Iteration 700 of 1000:" [1] 0.5070905 [1] "Iteration 701 of 1000:" [1] 0.5245768 [1] "Iteration 702 of 1000:" [1] 0.4721902 [1] "Iteration 703 of 1000:" [1] 0.5153538 [1] "Iteration 704 of 1000:" [1] 0.5492717 [1] "Iteration 705 of 1000:" [1] 0.5255285 [1] "Iteration 706 of 1000:" [1] 0.5590489 [1] "Iteration 707 of 1000:" [1] 0.5676105 [1] "Iteration 708 of 1000:" [1] 0.526737 [1] "Iteration 709 of 1000:" [1] 0.5455746 [1] "Iteration 710 of 1000:" [1] 0.5413856 [1] "Iteration 711 of 1000:" [1] 0.5181918 [1] "Iteration 712 of 1000:" [1] 0.5166349 [1] "Iteration 713 of 1000:" [1] 0.5106421 [1] "Iteration 714 of 1000:" [1] 0.5633483 [1] "Iteration 715 of 1000:" [1] 0.508775 [1] "Iteration 716 of 1000:" [1] 0.5212543 [1] "Iteration 717 of 1000:" [1] 0.5104909 [1] "Iteration 718 of 1000:" [1] 0.4954953 [1] "Iteration 719 of 1000:" [1] 0.495004 [1] "Iteration 720 of 1000:" [1] 0.489577 [1] "Iteration 721 of 1000:" [1] 0.5502125 [1] "Iteration 722 of 1000:" [1] 0.5119992 [1] "Iteration 723 of 1000:" [1] 0.5308461 [1] "Iteration 724 of 1000:" [1] 0.524525 [1] "Iteration 725 of 1000:" [1] 0.5294759 [1] "Iteration 726 of 1000:" [1] 0.5199156 [1] "Iteration 727 of 1000:" [1] 0.5112317 [1] "Iteration 728 of 1000:" [1] 0.5409131 [1] "Iteration 729 of 1000:" [1] 0.4880265 [1] "Iteration 730 of 1000:" [1] 0.5606207 [1] "Iteration 731 of 1000:" [1] 0.4906489 [1] "Iteration 732 of 1000:" [1] 0.5091662 [1] "Iteration 733 of 1000:" [1] 0.4998676 [1] "Iteration 734 of 1000:" [1] 0.5229039 [1] "Iteration 735 of 1000:" [1] 0.5634845 [1] "Iteration 736 of 1000:" [1] 0.5432882 [1] "Iteration 737 of 1000:" [1] 0.5269733 [1] "Iteration 738 of 1000:" [1] 0.5479253 [1] "Iteration 739 of 1000:" [1] 0.545242 [1] "Iteration 740 of 1000:" [1] 0.4884683 [1] "Iteration 741 of 1000:" [1] 0.5080555 [1] "Iteration 742 of 1000:" [1] 0.4884232 [1] "Iteration 743 of 1000:" [1] 0.5299763 [1] "Iteration 744 of 1000:" [1] 0.5570746 [1] "Iteration 745 of 1000:" [1] 0.5090922 [1] "Iteration 746 of 1000:" [1] 0.5217227 [1] "Iteration 747 of 1000:" [1] 0.5341044 [1] "Iteration 748 of 1000:" [1] 0.5237867 [1] "Iteration 749 of 1000:" [1] 0.4785477 [1] "Iteration 750 of 1000:" [1] 0.5556432 [1] "Iteration 751 of 1000:" [1] 0.5508601 [1] "Iteration 752 of 1000:" [1] 0.5632339 [1] "Iteration 753 of 1000:" [1] 0.5290952 [1] "Iteration 754 of 1000:" [1] 0.5208158 [1] "Iteration 755 of 1000:" [1] 0.5003853 [1] "Iteration 756 of 1000:" [1] 0.55606 [1] "Iteration 757 of 1000:" [1] 0.5122461 [1] "Iteration 758 of 1000:" [1] 0.5383701 [1] "Iteration 759 of 1000:" [1] 0.5564523 [1] "Iteration 760 of 1000:" [1] 0.5108503 [1] "Iteration 761 of 1000:" [1] 0.5166755 [1] "Iteration 762 of 1000:" [1] 0.5123055 [1] "Iteration 763 of 1000:" [1] 0.5075513 [1] "Iteration 764 of 1000:" [1] 0.5608229 [1] "Iteration 765 of 1000:" [1] 0.5332891 [1] "Iteration 766 of 1000:" [1] 0.5543985 [1] "Iteration 767 of 1000:" [1] 0.5595776 [1] "Iteration 768 of 1000:" [1] 0.5256568 [1] "Iteration 769 of 1000:" [1] 0.5363437 [1] "Iteration 770 of 1000:" [1] 0.5234714 [1] "Iteration 771 of 1000:" [1] 0.5489552 [1] "Iteration 772 of 1000:" [1] 0.5571924 [1] "Iteration 773 of 1000:" [1] 0.5262506 [1] "Iteration 774 of 1000:" [1] 0.5196912 [1] "Iteration 775 of 1000:" [1] 0.513674 [1] "Iteration 776 of 1000:" [1] 0.5384805 [1] "Iteration 777 of 1000:" [1] 0.5170539 [1] "Iteration 778 of 1000:" [1] 0.531619 [1] "Iteration 779 of 1000:" [1] 0.5489978 [1] "Iteration 780 of 1000:" [1] 0.4806968 [1] "Iteration 781 of 1000:" [1] 0.5528432 [1] "Iteration 782 of 1000:" [1] 0.5454086 [1] "Iteration 783 of 1000:" [1] 0.5358006 [1] "Iteration 784 of 1000:" [1] 0.5295542 [1] "Iteration 785 of 1000:" [1] 0.5283901 [1] "Iteration 786 of 1000:" [1] 0.5421625 [1] "Iteration 787 of 1000:" [1] 0.5115675 [1] "Iteration 788 of 1000:" [1] 0.5695586 [1] "Iteration 789 of 1000:" [1] 0.5441378 [1] "Iteration 790 of 1000:" [1] 0.5553237 [1] "Iteration 791 of 1000:" [1] 0.5331254 [1] "Iteration 792 of 1000:" [1] 0.515261 [1] "Iteration 793 of 1000:" [1] 0.5062505 [1] "Iteration 794 of 1000:" [1] 0.5003249 [1] "Iteration 795 of 1000:" [1] 0.5521498 [1] "Iteration 796 of 1000:" [1] 0.554542 [1] "Iteration 797 of 1000:" [1] 0.5501024 [1] "Iteration 798 of 1000:" [1] 0.4977232 [1] "Iteration 799 of 1000:" [1] 0.5569304 [1] "Iteration 800 of 1000:" [1] 0.535307 [1] "Iteration 801 of 1000:" [1] 0.498225 [1] "Iteration 802 of 1000:" [1] 0.544581 [1] "Iteration 803 of 1000:" [1] 0.485443 [1] "Iteration 804 of 1000:" [1] 0.5530352 [1] "Iteration 805 of 1000:" [1] 0.5135367 [1] "Iteration 806 of 1000:" [1] 0.5166555 [1] "Iteration 807 of 1000:" [1] 0.4644968 [1] "Iteration 808 of 1000:" [1] 0.5444854 [1] "Iteration 809 of 1000:" [1] 0.5224947 [1] "Iteration 810 of 1000:" [1] 0.4976116 [1] "Iteration 811 of 1000:" [1] 0.4894954 [1] "Iteration 812 of 1000:" [1] 0.4907413 [1] "Iteration 813 of 1000:" [1] 0.5890905 [1] "Iteration 814 of 1000:" [1] 0.5361579 [1] "Iteration 815 of 1000:" [1] 0.5832565 [1] "Iteration 816 of 1000:" [1] 0.5258278 [1] "Iteration 817 of 1000:" [1] 0.5071621 [1] "Iteration 818 of 1000:" [1] 0.5272333 [1] "Iteration 819 of 1000:" [1] 0.5119479 [1] "Iteration 820 of 1000:" [1] 0.5528974 [1] "Iteration 821 of 1000:" [1] 0.5483198 [1] "Iteration 822 of 1000:" [1] 0.5338237 [1] "Iteration 823 of 1000:" [1] 0.5474606 [1] "Iteration 824 of 1000:" [1] 0.5013141 [1] "Iteration 825 of 1000:" [1] 0.5054419 [1] "Iteration 826 of 1000:" [1] 0.5085825 [1] "Iteration 827 of 1000:" [1] 0.5382297 [1] "Iteration 828 of 1000:" [1] 0.5712128 [1] "Iteration 829 of 1000:" [1] 0.5154141 [1] "Iteration 830 of 1000:" [1] 0.5598915 [1] "Iteration 831 of 1000:" [1] 0.5405107 [1] "Iteration 832 of 1000:" [1] 0.5350738 [1] "Iteration 833 of 1000:" [1] 0.5341829 [1] "Iteration 834 of 1000:" [1] 0.4835097 [1] "Iteration 835 of 1000:" [1] 0.4799046 [1] "Iteration 836 of 1000:" [1] 0.4972597 [1] "Iteration 837 of 1000:" [1] 0.5329231 [1] "Iteration 838 of 1000:" [1] 0.517518 [1] "Iteration 839 of 1000:" [1] 0.5348102 [1] "Iteration 840 of 1000:" [1] 0.5467464 [1] "Iteration 841 of 1000:" [1] 0.5416481 [1] "Iteration 842 of 1000:" [1] 0.5399365 [1] "Iteration 843 of 1000:" [1] 0.5067037 [1] "Iteration 844 of 1000:" [1] 0.5431085 [1] "Iteration 845 of 1000:" [1] 0.5356594 [1] "Iteration 846 of 1000:" [1] 0.5402049 [1] "Iteration 847 of 1000:" [1] 0.4966321 [1] "Iteration 848 of 1000:" [1] 0.4960324 [1] "Iteration 849 of 1000:" [1] 0.5014252 [1] "Iteration 850 of 1000:" [1] 0.562158 [1] "Iteration 851 of 1000:" [1] 0.4989987 [1] "Iteration 852 of 1000:" [1] 0.5025448 [1] "Iteration 853 of 1000:" [1] 0.5192768 [1] "Iteration 854 of 1000:" [1] 0.5227799 [1] "Iteration 855 of 1000:" [1] 0.4993933 [1] "Iteration 856 of 1000:" [1] 0.5266558 [1] "Iteration 857 of 1000:" [1] 0.5082399 [1] "Iteration 858 of 1000:" [1] 0.551805 [1] "Iteration 859 of 1000:" [1] 0.5409314 [1] "Iteration 860 of 1000:" [1] 0.5462487 [1] "Iteration 861 of 1000:" [1] 0.5341788 [1] "Iteration 862 of 1000:" [1] 0.5506026 [1] "Iteration 863 of 1000:" [1] 0.5438284 [1] "Iteration 864 of 1000:" [1] 0.5489574 [1] "Iteration 865 of 1000:" [1] 0.5448349 [1] "Iteration 866 of 1000:" [1] 0.5325402 [1] "Iteration 867 of 1000:" [1] 0.4905433 [1] "Iteration 868 of 1000:" [1] 0.5244984 [1] "Iteration 869 of 1000:" [1] 0.5195505 [1] "Iteration 870 of 1000:" [1] 0.5358987 [1] "Iteration 871 of 1000:" [1] 0.525048 [1] "Iteration 872 of 1000:" [1] 0.5083513 [1] "Iteration 873 of 1000:" [1] 0.5132361 [1] "Iteration 874 of 1000:" [1] 0.5603487 [1] "Iteration 875 of 1000:" [1] 0.5391645 [1] "Iteration 876 of 1000:" [1] 0.5307914 [1] "Iteration 877 of 1000:" [1] 0.5196391 [1] "Iteration 878 of 1000:" [1] 0.5033002 [1] "Iteration 879 of 1000:" [1] 0.5215454 [1] "Iteration 880 of 1000:" [1] 0.5196803 [1] "Iteration 881 of 1000:" [1] 0.5467744 [1] "Iteration 882 of 1000:" [1] 0.5661595 [1] "Iteration 883 of 1000:" [1] 0.5506216 [1] "Iteration 884 of 1000:" [1] 0.4997492 [1] "Iteration 885 of 1000:" [1] 0.5273598 [1] "Iteration 886 of 1000:" [1] 0.5269857 [1] "Iteration 887 of 1000:" [1] 0.5291507 [1] "Iteration 888 of 1000:" [1] 0.5163833 [1] "Iteration 889 of 1000:" [1] 0.5382492 [1] "Iteration 890 of 1000:" [1] 0.5389813 [1] "Iteration 891 of 1000:" [1] 0.5434994 [1] "Iteration 892 of 1000:" [1] 0.4765415 [1] "Iteration 893 of 1000:" [1] 0.5542666 [1] "Iteration 894 of 1000:" [1] 0.5348839 [1] "Iteration 895 of 1000:" [1] 0.5133971 [1] "Iteration 896 of 1000:" [1] 0.5298614 [1] "Iteration 897 of 1000:" [1] 0.4992048 [1] "Iteration 898 of 1000:" [1] 0.5471267 [1] "Iteration 899 of 1000:" [1] 0.5115099 [1] "Iteration 900 of 1000:" [1] 0.5623581 [1] "Iteration 901 of 1000:" [1] 0.5063154 [1] "Iteration 902 of 1000:" [1] 0.504314 [1] "Iteration 903 of 1000:" [1] 0.5223017 [1] "Iteration 904 of 1000:" [1] 0.5133063 [1] "Iteration 905 of 1000:" [1] 0.5381956 [1] "Iteration 906 of 1000:" [1] 0.5209269 [1] "Iteration 907 of 1000:" [1] 0.5220075 [1] "Iteration 908 of 1000:" [1] 0.5353046 [1] "Iteration 909 of 1000:" [1] 0.5530791 [1] "Iteration 910 of 1000:" [1] 0.5484402 [1] "Iteration 911 of 1000:" [1] 0.4928528 [1] "Iteration 912 of 1000:" [1] 0.5257413 [1] "Iteration 913 of 1000:" [1] 0.5237703 [1] "Iteration 914 of 1000:" [1] 0.5454216 [1] "Iteration 915 of 1000:" [1] 0.5277684 [1] "Iteration 916 of 1000:" [1] 0.559618 [1] "Iteration 917 of 1000:" [1] 0.5286476 [1] "Iteration 918 of 1000:" [1] 0.5336424 [1] "Iteration 919 of 1000:" [1] 0.539549 [1] "Iteration 920 of 1000:" [1] 0.4989064 [1] "Iteration 921 of 1000:" [1] 0.5354402 [1] "Iteration 922 of 1000:" [1] 0.4747868 [1] "Iteration 923 of 1000:" [1] 0.5357219 [1] "Iteration 924 of 1000:" [1] 0.4745452 [1] "Iteration 925 of 1000:" [1] 0.5080245 [1] "Iteration 926 of 1000:" [1] 0.5429456 [1] "Iteration 927 of 1000:" [1] 0.5324253 [1] "Iteration 928 of 1000:" [1] 0.5590215 [1] "Iteration 929 of 1000:" [1] 0.5142044 [1] "Iteration 930 of 1000:" [1] 0.4996659 [1] "Iteration 931 of 1000:" [1] 0.5256495 [1] "Iteration 932 of 1000:" [1] 0.5266779 [1] "Iteration 933 of 1000:" [1] 0.4732269 [1] "Iteration 934 of 1000:" [1] 0.5268541 [1] "Iteration 935 of 1000:" [1] 0.5279596 [1] "Iteration 936 of 1000:" [1] 0.5535654 [1] "Iteration 937 of 1000:" [1] 0.5034612 [1] "Iteration 938 of 1000:" [1] 0.5307255 [1] "Iteration 939 of 1000:" [1] 0.4988264 [1] "Iteration 940 of 1000:" [1] 0.5367203 [1] "Iteration 941 of 1000:" [1] 0.520256 [1] "Iteration 942 of 1000:" [1] 0.5562643 [1] "Iteration 943 of 1000:" [1] 0.568768 [1] "Iteration 944 of 1000:" [1] 0.5477277 [1] "Iteration 945 of 1000:" [1] 0.5270234 [1] "Iteration 946 of 1000:" [1] 0.5402934 [1] "Iteration 947 of 1000:" [1] 0.5354672 [1] "Iteration 948 of 1000:" [1] 0.5371141 [1] "Iteration 949 of 1000:" [1] 0.5310888 [1] "Iteration 950 of 1000:" [1] 0.5143082 [1] "Iteration 951 of 1000:" [1] 0.5336936 [1] "Iteration 952 of 1000:" [1] 0.546496 [1] "Iteration 953 of 1000:" [1] 0.521291 [1] "Iteration 954 of 1000:" [1] 0.460048 [1] "Iteration 955 of 1000:" [1] 0.504599 [1] "Iteration 956 of 1000:" [1] 0.4929985 [1] "Iteration 957 of 1000:" [1] 0.5618435 [1] "Iteration 958 of 1000:" [1] 0.527953 [1] "Iteration 959 of 1000:" [1] 0.5605566 [1] "Iteration 960 of 1000:" [1] 0.520722 [1] "Iteration 961 of 1000:" [1] 0.5565514 [1] "Iteration 962 of 1000:" [1] 0.528406 [1] "Iteration 963 of 1000:" [1] 0.5141612 [1] "Iteration 964 of 1000:" [1] 0.5263784 [1] "Iteration 965 of 1000:" [1] 0.5401972 [1] "Iteration 966 of 1000:" [1] 0.5296993 [1] "Iteration 967 of 1000:" [1] 0.5668894 [1] "Iteration 968 of 1000:" [1] 0.5489132 [1] "Iteration 969 of 1000:" [1] 0.5354874 [1] "Iteration 970 of 1000:" [1] 0.5441428 [1] "Iteration 971 of 1000:" [1] 0.4961608 [1] "Iteration 972 of 1000:" [1] 0.5202876 [1] "Iteration 973 of 1000:" [1] 0.5116367 [1] "Iteration 974 of 1000:" [1] 0.5333095 [1] "Iteration 975 of 1000:" [1] 0.5505439 [1] "Iteration 976 of 1000:" [1] 0.5558281 [1] "Iteration 977 of 1000:" [1] 0.530935 [1] "Iteration 978 of 1000:" [1] 0.5280338 [1] "Iteration 979 of 1000:" [1] 0.5299283 [1] "Iteration 980 of 1000:" [1] 0.5064311 [1] "Iteration 981 of 1000:" [1] 0.4819757 [1] "Iteration 982 of 1000:" [1] 0.5287901 [1] "Iteration 983 of 1000:" [1] 0.5112834 [1] "Iteration 984 of 1000:" [1] 0.5484041 [1] "Iteration 985 of 1000:" [1] 0.4923879 [1] "Iteration 986 of 1000:" [1] 0.5455833 [1] "Iteration 987 of 1000:" [1] 0.5269079 [1] "Iteration 988 of 1000:" [1] 0.5632865 [1] "Iteration 989 of 1000:" [1] 0.5006887 [1] "Iteration 990 of 1000:" [1] 0.5093751 [1] "Iteration 991 of 1000:" [1] 0.5282679 [1] "Iteration 992 of 1000:" [1] 0.5203375 [1] "Iteration 993 of 1000:" [1] 0.4903082 [1] "Iteration 994 of 1000:" [1] 0.4993633 [1] "Iteration 995 of 1000:" [1] 0.4958892 [1] "Iteration 996 of 1000:" [1] 0.5402429 [1] "Iteration 997 of 1000:" [1] 0.5421388 [1] "Iteration 998 of 1000:" [1] 0.508993 [1] "Iteration 999 of 1000:" [1] 0.5434217 [1] "Iteration 1000 of 1000:" [1] 0.5166071 [1] "Iteration 1 of 1000:" [1] 0.988429 [1] "Iteration 2 of 1000:" [1] 0.9868998 [1] "Iteration 3 of 1000:" [1] 0.9870222 [1] "Iteration 4 of 1000:" [1] 0.9865091 [1] "Iteration 5 of 1000:" [1] 0.9865603 [1] "Iteration 6 of 1000:" [1] 0.9848405 [1] "Iteration 7 of 1000:" [1] 0.9881062 [1] "Iteration 8 of 1000:" [1] 0.9861318 [1] "Iteration 9 of 1000:" [1] 0.988122 [1] "Iteration 10 of 1000:" [1] 0.9874728 [1] "Iteration 11 of 1000:" [1] 0.9882993 [1] "Iteration 12 of 1000:" [1] 0.9855139 [1] "Iteration 13 of 1000:" [1] 0.9853688 [1] "Iteration 14 of 1000:" [1] 0.9872076 [1] "Iteration 15 of 1000:" [1] 0.9870269 [1] "Iteration 16 of 1000:" [1] 0.9872868 [1] "Iteration 17 of 1000:" [1] 0.9876713 [1] "Iteration 18 of 1000:" [1] 0.9874767 [1] "Iteration 19 of 1000:" [1] 0.9860478 [1] "Iteration 20 of 1000:" [1] 0.987224 [1] "Iteration 21 of 1000:" [1] 0.9845563 [1] "Iteration 22 of 1000:" [1] 0.9876795 [1] "Iteration 23 of 1000:" [1] 0.9877021 [1] "Iteration 24 of 1000:" [1] 0.9875818 [1] "Iteration 25 of 1000:" [1] 0.9874423 [1] "Iteration 26 of 1000:" [1] 0.9863054 [1] "Iteration 27 of 1000:" [1] 0.9875898 [1] "Iteration 28 of 1000:" [1] 0.9875338 [1] "Iteration 29 of 1000:" [1] 0.9866123 [1] "Iteration 30 of 1000:" [1] 0.9861702 [1] "Iteration 31 of 1000:" [1] 0.9870594 [1] "Iteration 32 of 1000:" [1] 0.9878552 [1] "Iteration 33 of 1000:" [1] 0.9861714 [1] "Iteration 34 of 1000:" [1] 0.9852956 [1] "Iteration 35 of 1000:" [1] 0.987082 [1] "Iteration 36 of 1000:" [1] 0.9851887 [1] "Iteration 37 of 1000:" [1] 0.9856244 [1] "Iteration 38 of 1000:" [1] 0.9846963 [1] "Iteration 39 of 1000:" [1] 0.985745 [1] "Iteration 40 of 1000:" [1] 0.9878262 [1] "Iteration 41 of 1000:" [1] 0.9850117 [1] "Iteration 42 of 1000:" [1] 0.9870157 [1] "Iteration 43 of 1000:" [1] 0.9879344 [1] "Iteration 44 of 1000:" [1] 0.9859972 [1] "Iteration 45 of 1000:" [1] 0.9847474 [1] "Iteration 46 of 1000:" [1] 0.9869824 [1] "Iteration 47 of 1000:" [1] 0.9879528 [1] "Iteration 48 of 1000:" [1] 0.9880786 [1] "Iteration 49 of 1000:" [1] 0.986662 [1] "Iteration 50 of 1000:" [1] 0.986995 [1] "Iteration 51 of 1000:" [1] 0.9868022 [1] "Iteration 52 of 1000:" [1] 0.9876272 [1] "Iteration 53 of 1000:" [1] 0.9855943 [1] "Iteration 54 of 1000:" [1] 0.9876794 [1] "Iteration 55 of 1000:" [1] 0.9888107 [1] "Iteration 56 of 1000:" [1] 0.9879327 [1] "Iteration 57 of 1000:" [1] 0.9871527 [1] "Iteration 58 of 1000:" [1] 0.9869213 [1] "Iteration 59 of 1000:" [1] 0.9845299 [1] "Iteration 60 of 1000:" [1] 0.9871237 [1] "Iteration 61 of 1000:" [1] 0.9852053 [1] "Iteration 62 of 1000:" [1] 0.9875444 [1] "Iteration 63 of 1000:" [1] 0.9860481 [1] "Iteration 64 of 1000:" [1] 0.9885868 [1] "Iteration 65 of 1000:" [1] 0.9877209 [1] "Iteration 66 of 1000:" [1] 0.9873034 [1] "Iteration 67 of 1000:" [1] 0.9855158 [1] "Iteration 68 of 1000:" [1] 0.9855408 [1] "Iteration 69 of 1000:" [1] 0.9841651 [1] "Iteration 70 of 1000:" [1] 0.9875261 [1] "Iteration 71 of 1000:" [1] 0.9862657 [1] "Iteration 72 of 1000:" [1] 0.9849981 [1] "Iteration 73 of 1000:" [1] 0.9874783 [1] "Iteration 74 of 1000:" [1] 0.9872821 [1] "Iteration 75 of 1000:" [1] 0.9844903 [1] "Iteration 76 of 1000:" [1] 0.9866052 [1] "Iteration 77 of 1000:" [1] 0.9870024 [1] "Iteration 78 of 1000:" [1] 0.9876156 [1] "Iteration 79 of 1000:" [1] 0.9850541 [1] "Iteration 80 of 1000:" [1] 0.9883605 [1] "Iteration 81 of 1000:" [1] 0.985229 [1] "Iteration 82 of 1000:" [1] 0.9876741 [1] "Iteration 83 of 1000:" [1] 0.9860804 [1] "Iteration 84 of 1000:" [1] 0.9877275 [1] "Iteration 85 of 1000:" [1] 0.9866414 [1] "Iteration 86 of 1000:" [1] 0.9867398 [1] "Iteration 87 of 1000:" [1] 0.9860007 [1] "Iteration 88 of 1000:" [1] 0.9861859 [1] "Iteration 89 of 1000:" [1] 0.9873829 [1] "Iteration 90 of 1000:" [1] 0.9859226 [1] "Iteration 91 of 1000:" [1] 0.9879465 [1] "Iteration 92 of 1000:" [1] 0.9889485 [1] "Iteration 93 of 1000:" [1] 0.987515 [1] "Iteration 94 of 1000:" [1] 0.9871252 [1] "Iteration 95 of 1000:" [1] 0.9859839 [1] "Iteration 96 of 1000:" [1] 0.985842 [1] "Iteration 97 of 1000:" [1] 0.9874825 [1] "Iteration 98 of 1000:" [1] 0.9856159 [1] "Iteration 99 of 1000:" [1] 0.987639 [1] "Iteration 100 of 1000:" [1] 0.9874059 [1] "Iteration 101 of 1000:" [1] 0.985331 [1] "Iteration 102 of 1000:" [1] 0.9875304 [1] "Iteration 103 of 1000:" [1] 0.9875966 [1] "Iteration 104 of 1000:" [1] 0.9871794 [1] "Iteration 105 of 1000:" [1] 0.9875946 [1] "Iteration 106 of 1000:" [1] 0.9853317 [1] "Iteration 107 of 1000:" [1] 0.987035 [1] "Iteration 108 of 1000:" [1] 0.9846942 [1] "Iteration 109 of 1000:" [1] 0.9860653 [1] "Iteration 110 of 1000:" [1] 0.9863161 [1] "Iteration 111 of 1000:" [1] 0.9878631 [1] "Iteration 112 of 1000:" [1] 0.9857424 [1] "Iteration 113 of 1000:" [1] 0.9879364 [1] "Iteration 114 of 1000:" [1] 0.9866065 [1] "Iteration 115 of 1000:" [1] 0.9878856 [1] "Iteration 116 of 1000:" [1] 0.9858553 [1] "Iteration 117 of 1000:" [1] 0.9855094 [1] "Iteration 118 of 1000:" [1] 0.9851291 [1] "Iteration 119 of 1000:" [1] 0.987806 [1] "Iteration 120 of 1000:" [1] 0.988307 [1] "Iteration 121 of 1000:" [1] 0.9875478 [1] "Iteration 122 of 1000:" [1] 0.9871206 [1] "Iteration 123 of 1000:" [1] 0.988131 [1] "Iteration 124 of 1000:" [1] 0.985558 [1] "Iteration 125 of 1000:" [1] 0.9873421 [1] "Iteration 126 of 1000:" [1] 0.9852159 [1] "Iteration 127 of 1000:" [1] 0.9873315 [1] "Iteration 128 of 1000:" [1] 0.9856362 [1] "Iteration 129 of 1000:" [1] 0.9854626 [1] "Iteration 130 of 1000:" [1] 0.9877357 [1] "Iteration 131 of 1000:" [1] 0.9874426 [1] "Iteration 132 of 1000:" [1] 0.9879364 [1] "Iteration 133 of 1000:" [1] 0.9878634 [1] "Iteration 134 of 1000:" [1] 0.9862673 [1] "Iteration 135 of 1000:" [1] 0.9858699 [1] "Iteration 136 of 1000:" [1] 0.9874501 [1] "Iteration 137 of 1000:" [1] 0.9890129 [1] "Iteration 138 of 1000:" [1] 0.9867673 [1] "Iteration 139 of 1000:" [1] 0.9870323 [1] "Iteration 140 of 1000:" [1] 0.9877997 [1] "Iteration 141 of 1000:" [1] 0.9844267 [1] "Iteration 142 of 1000:" [1] 0.9852145 [1] "Iteration 143 of 1000:" [1] 0.9869123 [1] "Iteration 144 of 1000:" [1] 0.9854508 [1] "Iteration 145 of 1000:" [1] 0.9869879 [1] "Iteration 146 of 1000:" [1] 0.9874108 [1] "Iteration 147 of 1000:" [1] 0.9865337 [1] "Iteration 148 of 1000:" [1] 0.9845962 [1] "Iteration 149 of 1000:" [1] 0.9875613 [1] "Iteration 150 of 1000:" [1] 0.9868259 [1] "Iteration 151 of 1000:" [1] 0.9875336 [1] "Iteration 152 of 1000:" [1] 0.9860527 [1] "Iteration 153 of 1000:" [1] 0.9876437 [1] "Iteration 154 of 1000:" [1] 0.9874892 [1] "Iteration 155 of 1000:" [1] 0.9847148 [1] "Iteration 156 of 1000:" [1] 0.9862508 [1] "Iteration 157 of 1000:" [1] 0.9858229 [1] "Iteration 158 of 1000:" [1] 0.9873973 [1] "Iteration 159 of 1000:" [1] 0.9848812 [1] "Iteration 160 of 1000:" [1] 0.9873494 [1] "Iteration 161 of 1000:" [1] 0.9891636 [1] "Iteration 162 of 1000:" [1] 0.9873447 [1] "Iteration 163 of 1000:" [1] 0.9858618 [1] "Iteration 164 of 1000:" [1] 0.9875164 [1] "Iteration 165 of 1000:" [1] 0.9876362 [1] "Iteration 166 of 1000:" [1] 0.986318 [1] "Iteration 167 of 1000:" [1] 0.9878316 [1] "Iteration 168 of 1000:" [1] 0.987072 [1] "Iteration 169 of 1000:" [1] 0.9866289 [1] "Iteration 170 of 1000:" [1] 0.9874286 [1] "Iteration 171 of 1000:" [1] 0.9877643 [1] "Iteration 172 of 1000:" [1] 0.9866848 [1] "Iteration 173 of 1000:" [1] 0.9864977 [1] "Iteration 174 of 1000:" [1] 0.9878819 [1] "Iteration 175 of 1000:" [1] 0.9854753 [1] "Iteration 176 of 1000:" [1] 0.9858113 [1] "Iteration 177 of 1000:" [1] 0.9868461 [1] "Iteration 178 of 1000:" [1] 0.9856225 [1] "Iteration 179 of 1000:" [1] 0.9879146 [1] "Iteration 180 of 1000:" [1] 0.9875679 [1] "Iteration 181 of 1000:" [1] 0.9850617 [1] "Iteration 182 of 1000:" [1] 0.988714 [1] "Iteration 183 of 1000:" [1] 0.9856537 [1] "Iteration 184 of 1000:" [1] 0.9887165 [1] "Iteration 185 of 1000:" [1] 0.9865816 [1] "Iteration 186 of 1000:" [1] 0.9848338 [1] "Iteration 187 of 1000:" [1] 0.9858389 [1] "Iteration 188 of 1000:" [1] 0.9872619 [1] "Iteration 189 of 1000:" [1] 0.9882926 [1] "Iteration 190 of 1000:" [1] 0.9871721 [1] "Iteration 191 of 1000:" [1] 0.9872986 [1] "Iteration 192 of 1000:" [1] 0.9874813 [1] "Iteration 193 of 1000:" [1] 0.9865961 [1] "Iteration 194 of 1000:" [1] 0.9878242 [1] "Iteration 195 of 1000:" [1] 0.9879367 [1] "Iteration 196 of 1000:" [1] 0.9879724 [1] "Iteration 197 of 1000:" [1] 0.9863363 [1] "Iteration 198 of 1000:" [1] 0.9876623 [1] "Iteration 199 of 1000:" [1] 0.9873617 [1] "Iteration 200 of 1000:" [1] 0.9849657 [1] "Iteration 201 of 1000:" [1] 0.9879742 [1] "Iteration 202 of 1000:" [1] 0.9858224 [1] "Iteration 203 of 1000:" [1] 0.9874741 [1] "Iteration 204 of 1000:" [1] 0.9849628 [1] "Iteration 205 of 1000:" [1] 0.9849056 [1] "Iteration 206 of 1000:" [1] 0.9872582 [1] "Iteration 207 of 1000:" [1] 0.9871746 [1] "Iteration 208 of 1000:" [1] 0.9877668 [1] "Iteration 209 of 1000:" [1] 0.9847202 [1] "Iteration 210 of 1000:" [1] 0.9880369 [1] "Iteration 211 of 1000:" [1] 0.9861781 [1] "Iteration 212 of 1000:" [1] 0.98748 [1] "Iteration 213 of 1000:" [1] 0.9877974 [1] "Iteration 214 of 1000:" [1] 0.9878242 [1] "Iteration 215 of 1000:" [1] 0.9880484 [1] "Iteration 216 of 1000:" [1] 0.9856964 [1] "Iteration 217 of 1000:" [1] 0.9860222 [1] "Iteration 218 of 1000:" [1] 0.9876735 [1] "Iteration 219 of 1000:" [1] 0.9882396 [1] "Iteration 220 of 1000:" [1] 0.9854459 [1] "Iteration 221 of 1000:" [1] 0.9869425 [1] "Iteration 222 of 1000:" [1] 0.9876482 [1] "Iteration 223 of 1000:" [1] 0.9862143 [1] "Iteration 224 of 1000:" [1] 0.9868844 [1] "Iteration 225 of 1000:" [1] 0.9867245 [1] "Iteration 226 of 1000:" [1] 0.985761 [1] "Iteration 227 of 1000:" [1] 0.9891506 [1] "Iteration 228 of 1000:" [1] 0.9868254 [1] "Iteration 229 of 1000:" [1] 0.9859017 [1] "Iteration 230 of 1000:" [1] 0.9855956 [1] "Iteration 231 of 1000:" [1] 0.9878827 [1] "Iteration 232 of 1000:" [1] 0.9875449 [1] "Iteration 233 of 1000:" [1] 0.9850845 [1] "Iteration 234 of 1000:" [1] 0.9877406 [1] "Iteration 235 of 1000:" [1] 0.9855448 [1] "Iteration 236 of 1000:" [1] 0.9855798 [1] "Iteration 237 of 1000:" [1] 0.9856811 [1] "Iteration 238 of 1000:" [1] 0.9860007 [1] "Iteration 239 of 1000:" [1] 0.9858942 [1] "Iteration 240 of 1000:" [1] 0.9875293 [1] "Iteration 241 of 1000:" [1] 0.9873903 [1] "Iteration 242 of 1000:" [1] 0.9880243 [1] "Iteration 243 of 1000:" [1] 0.9862067 [1] "Iteration 244 of 1000:" [1] 0.9857999 [1] "Iteration 245 of 1000:" [1] 0.987338 [1] "Iteration 246 of 1000:" [1] 0.9857772 [1] "Iteration 247 of 1000:" [1] 0.9850161 [1] "Iteration 248 of 1000:" [1] 0.987962 [1] "Iteration 249 of 1000:" [1] 0.9858593 [1] "Iteration 250 of 1000:" [1] 0.987281 [1] "Iteration 251 of 1000:" [1] 0.9859376 [1] "Iteration 252 of 1000:" [1] 0.9876675 [1] "Iteration 253 of 1000:" [1] 0.9875614 [1] "Iteration 254 of 1000:" [1] 0.9872941 [1] "Iteration 255 of 1000:" [1] 0.9855363 [1] "Iteration 256 of 1000:" [1] 0.9872672 [1] "Iteration 257 of 1000:" [1] 0.9882051 [1] "Iteration 258 of 1000:" [1] 0.9877542 [1] "Iteration 259 of 1000:" [1] 0.9875662 [1] "Iteration 260 of 1000:" [1] 0.9879723 [1] "Iteration 261 of 1000:" [1] 0.9855016 [1] "Iteration 262 of 1000:" [1] 0.9870658 [1] "Iteration 263 of 1000:" [1] 0.9853107 [1] "Iteration 264 of 1000:" [1] 0.987178 [1] "Iteration 265 of 1000:" [1] 0.987164 [1] "Iteration 266 of 1000:" [1] 0.985472 [1] "Iteration 267 of 1000:" [1] 0.985215 [1] "Iteration 268 of 1000:" [1] 0.9863826 [1] "Iteration 269 of 1000:" [1] 0.9880012 [1] "Iteration 270 of 1000:" [1] 0.9873135 [1] "Iteration 271 of 1000:" [1] 0.9871646 [1] "Iteration 272 of 1000:" [1] 0.9887591 [1] "Iteration 273 of 1000:" [1] 0.9874136 [1] "Iteration 274 of 1000:" [1] 0.9874955 [1] "Iteration 275 of 1000:" [1] 0.987558 [1] "Iteration 276 of 1000:" [1] 0.9877421 [1] "Iteration 277 of 1000:" [1] 0.9857249 [1] "Iteration 278 of 1000:" [1] 0.9873337 [1] "Iteration 279 of 1000:" [1] 0.9865909 [1] "Iteration 280 of 1000:" [1] 0.9871374 [1] "Iteration 281 of 1000:" [1] 0.9875542 [1] "Iteration 282 of 1000:" [1] 0.9848274 [1] "Iteration 283 of 1000:" [1] 0.9872835 [1] "Iteration 284 of 1000:" [1] 0.9858167 [1] "Iteration 285 of 1000:" [1] 0.987448 [1] "Iteration 286 of 1000:" [1] 0.9868614 [1] "Iteration 287 of 1000:" [1] 0.9871955 [1] "Iteration 288 of 1000:" [1] 0.9845256 [1] "Iteration 289 of 1000:" [1] 0.9866196 [1] "Iteration 290 of 1000:" [1] 0.9874653 [1] "Iteration 291 of 1000:" [1] 0.9871684 [1] "Iteration 292 of 1000:" [1] 0.9871254 [1] "Iteration 293 of 1000:" [1] 0.9872607 [1] "Iteration 294 of 1000:" [1] 0.9878339 [1] "Iteration 295 of 1000:" [1] 0.9857072 [1] "Iteration 296 of 1000:" [1] 0.9867692 [1] "Iteration 297 of 1000:" [1] 0.9870201 [1] "Iteration 298 of 1000:" [1] 0.9877194 [1] "Iteration 299 of 1000:" [1] 0.9873335 [1] "Iteration 300 of 1000:" [1] 0.9877081 [1] "Iteration 301 of 1000:" [1] 0.9868964 [1] "Iteration 302 of 1000:" [1] 0.9875449 [1] "Iteration 303 of 1000:" [1] 0.9880116 [1] "Iteration 304 of 1000:" [1] 0.9873695 [1] "Iteration 305 of 1000:" [1] 0.9855016 [1] "Iteration 306 of 1000:" [1] 0.9861347 [1] "Iteration 307 of 1000:" [1] 0.9849453 [1] "Iteration 308 of 1000:" [1] 0.9876234 [1] "Iteration 309 of 1000:" [1] 0.9870153 [1] "Iteration 310 of 1000:" [1] 0.986693 [1] "Iteration 311 of 1000:" [1] 0.9874762 [1] "Iteration 312 of 1000:" [1] 0.9880735 [1] "Iteration 313 of 1000:" [1] 0.9866579 [1] "Iteration 314 of 1000:" [1] 0.9876755 [1] "Iteration 315 of 1000:" [1] 0.9847719 [1] "Iteration 316 of 1000:" [1] 0.9855377 [1] "Iteration 317 of 1000:" [1] 0.9875403 [1] "Iteration 318 of 1000:" [1] 0.9860683 [1] "Iteration 319 of 1000:" [1] 0.9880193 [1] "Iteration 320 of 1000:" [1] 0.9876108 [1] "Iteration 321 of 1000:" [1] 0.9876515 [1] "Iteration 322 of 1000:" [1] 0.9858621 [1] "Iteration 323 of 1000:" [1] 0.9878297 [1] "Iteration 324 of 1000:" [1] 0.9891065 [1] "Iteration 325 of 1000:" [1] 0.986202 [1] "Iteration 326 of 1000:" [1] 0.9866162 [1] "Iteration 327 of 1000:" [1] 0.988116 [1] "Iteration 328 of 1000:" [1] 0.9869309 [1] "Iteration 329 of 1000:" [1] 0.9850679 [1] "Iteration 330 of 1000:" [1] 0.9865042 [1] "Iteration 331 of 1000:" [1] 0.9863084 [1] "Iteration 332 of 1000:" [1] 0.9881662 [1] "Iteration 333 of 1000:" [1] 0.9854966 [1] "Iteration 334 of 1000:" [1] 0.9875159 [1] "Iteration 335 of 1000:" [1] 0.9852296 [1] "Iteration 336 of 1000:" [1] 0.9873617 [1] "Iteration 337 of 1000:" [1] 0.9879129 [1] "Iteration 338 of 1000:" [1] 0.9850337 [1] "Iteration 339 of 1000:" [1] 0.9857418 [1] "Iteration 340 of 1000:" [1] 0.9856314 [1] "Iteration 341 of 1000:" [1] 0.9873813 [1] "Iteration 342 of 1000:" [1] 0.9856478 [1] "Iteration 343 of 1000:" [1] 0.9879905 [1] "Iteration 344 of 1000:" [1] 0.9859467 [1] "Iteration 345 of 1000:" [1] 0.9885779 [1] "Iteration 346 of 1000:" [1] 0.9880716 [1] "Iteration 347 of 1000:" [1] 0.9875796 [1] "Iteration 348 of 1000:" [1] 0.9874046 [1] "Iteration 349 of 1000:" [1] 0.9859774 [1] "Iteration 350 of 1000:" [1] 0.9872167 [1] "Iteration 351 of 1000:" [1] 0.9866065 [1] "Iteration 352 of 1000:" [1] 0.9873956 [1] "Iteration 353 of 1000:" [1] 0.9875101 [1] "Iteration 354 of 1000:" [1] 0.9857895 [1] "Iteration 355 of 1000:" [1] 0.9864393 [1] "Iteration 356 of 1000:" [1] 0.9848579 [1] "Iteration 357 of 1000:" [1] 0.9878962 [1] "Iteration 358 of 1000:" [1] 0.9873782 [1] "Iteration 359 of 1000:" [1] 0.9873963 [1] "Iteration 360 of 1000:" [1] 0.9873933 [1] "Iteration 361 of 1000:" [1] 0.987938 [1] "Iteration 362 of 1000:" [1] 0.9860343 [1] "Iteration 363 of 1000:" [1] 0.9864301 [1] "Iteration 364 of 1000:" [1] 0.9862811 [1] "Iteration 365 of 1000:" [1] 0.9873846 [1] "Iteration 366 of 1000:" [1] 0.9860629 [1] "Iteration 367 of 1000:" [1] 0.9854565 [1] "Iteration 368 of 1000:" [1] 0.986703 [1] "Iteration 369 of 1000:" [1] 0.9868282 [1] "Iteration 370 of 1000:" [1] 0.9865999 [1] "Iteration 371 of 1000:" [1] 0.9865272 [1] "Iteration 372 of 1000:" [1] 0.98804 [1] "Iteration 373 of 1000:" [1] 0.9872555 [1] "Iteration 374 of 1000:" [1] 0.9851629 [1] "Iteration 375 of 1000:" [1] 0.9889351 [1] "Iteration 376 of 1000:" [1] 0.9876402 [1] "Iteration 377 of 1000:" [1] 0.987642 [1] "Iteration 378 of 1000:" [1] 0.9873365 [1] "Iteration 379 of 1000:" [1] 0.9854804 [1] "Iteration 380 of 1000:" [1] 0.9878498 [1] "Iteration 381 of 1000:" [1] 0.9857318 [1] "Iteration 382 of 1000:" [1] 0.987591 [1] "Iteration 383 of 1000:" [1] 0.9874178 [1] "Iteration 384 of 1000:" [1] 0.9877525 [1] "Iteration 385 of 1000:" [1] 0.987551 [1] "Iteration 386 of 1000:" [1] 0.9874136 [1] "Iteration 387 of 1000:" [1] 0.987433 [1] "Iteration 388 of 1000:" [1] 0.9848094 [1] "Iteration 389 of 1000:" [1] 0.9855368 [1] "Iteration 390 of 1000:" [1] 0.9873546 [1] "Iteration 391 of 1000:" [1] 0.9857478 [1] "Iteration 392 of 1000:" [1] 0.9876238 [1] "Iteration 393 of 1000:" [1] 0.9877683 [1] "Iteration 394 of 1000:" [1] 0.9879333 [1] "Iteration 395 of 1000:" [1] 0.9864969 [1] "Iteration 396 of 1000:" [1] 0.9877435 [1] "Iteration 397 of 1000:" [1] 0.987419 [1] "Iteration 398 of 1000:" [1] 0.9878587 [1] "Iteration 399 of 1000:" [1] 0.9855721 [1] "Iteration 400 of 1000:" [1] 0.9877304 [1] "Iteration 401 of 1000:" [1] 0.9879671 [1] "Iteration 402 of 1000:" [1] 0.9876233 [1] "Iteration 403 of 1000:" [1] 0.9882817 [1] "Iteration 404 of 1000:" [1] 0.9872589 [1] "Iteration 405 of 1000:" [1] 0.9854272 [1] "Iteration 406 of 1000:" [1] 0.9872548 [1] "Iteration 407 of 1000:" [1] 0.9873726 [1] "Iteration 408 of 1000:" [1] 0.9850299 [1] "Iteration 409 of 1000:" [1] 0.9850255 [1] "Iteration 410 of 1000:" [1] 0.987403 [1] "Iteration 411 of 1000:" [1] 0.985518 [1] "Iteration 412 of 1000:" [1] 0.9868909 [1] "Iteration 413 of 1000:" [1] 0.9877584 [1] "Iteration 414 of 1000:" [1] 0.9880591 [1] "Iteration 415 of 1000:" [1] 0.9871842 [1] "Iteration 416 of 1000:" [1] 0.9881838 [1] "Iteration 417 of 1000:" [1] 0.986954 [1] "Iteration 418 of 1000:" [1] 0.9859504 [1] "Iteration 419 of 1000:" [1] 0.9876375 [1] "Iteration 420 of 1000:" [1] 0.9860696 [1] "Iteration 421 of 1000:" [1] 0.9870759 [1] "Iteration 422 of 1000:" [1] 0.9876689 [1] "Iteration 423 of 1000:" [1] 0.9849543 [1] "Iteration 424 of 1000:" [1] 0.9856365 [1] "Iteration 425 of 1000:" [1] 0.9866277 [1] "Iteration 426 of 1000:" [1] 0.9890776 [1] "Iteration 427 of 1000:" [1] 0.9862027 [1] "Iteration 428 of 1000:" [1] 0.9868532 [1] "Iteration 429 of 1000:" [1] 0.9858941 [1] "Iteration 430 of 1000:" [1] 0.9856928 [1] "Iteration 431 of 1000:" [1] 0.9862091 [1] "Iteration 432 of 1000:" [1] 0.9872309 [1] "Iteration 433 of 1000:" [1] 0.9862131 [1] "Iteration 434 of 1000:" [1] 0.9868609 [1] "Iteration 435 of 1000:" [1] 0.9869386 [1] "Iteration 436 of 1000:" [1] 0.9845906 [1] "Iteration 437 of 1000:" [1] 0.9874321 [1] "Iteration 438 of 1000:" [1] 0.9859545 [1] "Iteration 439 of 1000:" [1] 0.9876798 [1] "Iteration 440 of 1000:" [1] 0.9872591 [1] "Iteration 441 of 1000:" [1] 0.984855 [1] "Iteration 442 of 1000:" [1] 0.9875746 [1] "Iteration 443 of 1000:" [1] 0.9871898 [1] "Iteration 444 of 1000:" [1] 0.9849683 [1] "Iteration 445 of 1000:" [1] 0.9855021 [1] "Iteration 446 of 1000:" [1] 0.9869567 [1] "Iteration 447 of 1000:" [1] 0.9873092 [1] "Iteration 448 of 1000:" [1] 0.9885366 [1] "Iteration 449 of 1000:" [1] 0.9877542 [1] "Iteration 450 of 1000:" [1] 0.9830701 [1] "Iteration 451 of 1000:" [1] 0.9876065 [1] "Iteration 452 of 1000:" [1] 0.9873622 [1] "Iteration 453 of 1000:" [1] 0.9853924 [1] "Iteration 454 of 1000:" [1] 0.9853977 [1] "Iteration 455 of 1000:" [1] 0.9878923 [1] "Iteration 456 of 1000:" [1] 0.9876994 [1] "Iteration 457 of 1000:" [1] 0.9847563 [1] "Iteration 458 of 1000:" [1] 0.9874054 [1] "Iteration 459 of 1000:" [1] 0.9874019 [1] "Iteration 460 of 1000:" [1] 0.9873566 [1] "Iteration 461 of 1000:" [1] 0.9873719 [1] "Iteration 462 of 1000:" [1] 0.9872137 [1] "Iteration 463 of 1000:" [1] 0.9859602 [1] "Iteration 464 of 1000:" [1] 0.9877128 [1] "Iteration 465 of 1000:" [1] 0.9872319 [1] "Iteration 466 of 1000:" [1] 0.9878506 [1] "Iteration 467 of 1000:" [1] 0.9876111 [1] "Iteration 468 of 1000:" [1] 0.9851598 [1] "Iteration 469 of 1000:" [1] 0.985276 [1] "Iteration 470 of 1000:" [1] 0.9868388 [1] "Iteration 471 of 1000:" [1] 0.9871698 [1] "Iteration 472 of 1000:" [1] 0.9861122 [1] "Iteration 473 of 1000:" [1] 0.9866048 [1] "Iteration 474 of 1000:" [1] 0.9880084 [1] "Iteration 475 of 1000:" [1] 0.9881073 [1] "Iteration 476 of 1000:" [1] 0.9874725 [1] "Iteration 477 of 1000:" [1] 0.9878981 [1] "Iteration 478 of 1000:" [1] 0.9874341 [1] "Iteration 479 of 1000:" [1] 0.9861706 [1] "Iteration 480 of 1000:" [1] 0.9865207 [1] "Iteration 481 of 1000:" [1] 0.9866503 [1] "Iteration 482 of 1000:" [1] 0.9859977 [1] "Iteration 483 of 1000:" [1] 0.987226 [1] "Iteration 484 of 1000:" [1] 0.9875748 [1] "Iteration 485 of 1000:" [1] 0.987826 [1] "Iteration 486 of 1000:" [1] 0.9874383 [1] "Iteration 487 of 1000:" [1] 0.9880781 [1] "Iteration 488 of 1000:" [1] 0.9845861 [1] "Iteration 489 of 1000:" [1] 0.9863749 [1] "Iteration 490 of 1000:" [1] 0.9848945 [1] "Iteration 491 of 1000:" [1] 0.9870583 [1] "Iteration 492 of 1000:" [1] 0.9871444 [1] "Iteration 493 of 1000:" [1] 0.9870032 [1] "Iteration 494 of 1000:" [1] 0.9875502 [1] "Iteration 495 of 1000:" [1] 0.9874265 [1] "Iteration 496 of 1000:" [1] 0.9875481 [1] "Iteration 497 of 1000:" [1] 0.9857443 [1] "Iteration 498 of 1000:" [1] 0.987756 [1] "Iteration 499 of 1000:" [1] 0.9871819 [1] "Iteration 500 of 1000:" [1] 0.9863433 [1] "Iteration 501 of 1000:" [1] 0.985748 [1] "Iteration 502 of 1000:" [1] 0.9871202 [1] "Iteration 503 of 1000:" [1] 0.9884485 [1] "Iteration 504 of 1000:" [1] 0.9871463 [1] "Iteration 505 of 1000:" [1] 0.9874698 [1] "Iteration 506 of 1000:" [1] 0.9857596 [1] "Iteration 507 of 1000:" [1] 0.9878575 [1] "Iteration 508 of 1000:" [1] 0.9848221 [1] "Iteration 509 of 1000:" [1] 0.9882218 [1] "Iteration 510 of 1000:" [1] 0.9875468 [1] "Iteration 511 of 1000:" [1] 0.9849819 [1] "Iteration 512 of 1000:" [1] 0.9872394 [1] "Iteration 513 of 1000:" [1] 0.989001 [1] "Iteration 514 of 1000:" [1] 0.9870222 [1] "Iteration 515 of 1000:" [1] 0.9868641 [1] "Iteration 516 of 1000:" [1] 0.9860768 [1] "Iteration 517 of 1000:" [1] 0.9873695 [1] "Iteration 518 of 1000:" [1] 0.9882558 [1] "Iteration 519 of 1000:" [1] 0.9873995 [1] "Iteration 520 of 1000:" [1] 0.9871653 [1] "Iteration 521 of 1000:" [1] 0.9874232 [1] "Iteration 522 of 1000:" [1] 0.9870774 [1] "Iteration 523 of 1000:" [1] 0.9875999 [1] "Iteration 524 of 1000:" [1] 0.9859144 [1] "Iteration 525 of 1000:" [1] 0.9874333 [1] "Iteration 526 of 1000:" [1] 0.987299 [1] "Iteration 527 of 1000:" [1] 0.9855355 [1] "Iteration 528 of 1000:" [1] 0.9874945 [1] "Iteration 529 of 1000:" [1] 0.9850039 [1] "Iteration 530 of 1000:" [1] 0.9870759 [1] "Iteration 531 of 1000:" [1] 0.9875189 [1] "Iteration 532 of 1000:" [1] 0.9875734 [1] "Iteration 533 of 1000:" [1] 0.9861901 [1] "Iteration 534 of 1000:" [1] 0.9877004 [1] "Iteration 535 of 1000:" [1] 0.9859712 [1] "Iteration 536 of 1000:" [1] 0.988775 [1] "Iteration 537 of 1000:" [1] 0.9868435 [1] "Iteration 538 of 1000:" [1] 0.9876878 [1] "Iteration 539 of 1000:" [1] 0.9874139 [1] "Iteration 540 of 1000:" [1] 0.9857307 [1] "Iteration 541 of 1000:" [1] 0.9866324 [1] "Iteration 542 of 1000:" [1] 0.9880289 [1] "Iteration 543 of 1000:" [1] 0.9857418 [1] "Iteration 544 of 1000:" [1] 0.9868558 [1] "Iteration 545 of 1000:" [1] 0.9887816 [1] "Iteration 546 of 1000:" [1] 0.9875173 [1] "Iteration 547 of 1000:" [1] 0.9865548 [1] "Iteration 548 of 1000:" [1] 0.9878118 [1] "Iteration 549 of 1000:" [1] 0.9842486 [1] "Iteration 550 of 1000:" [1] 0.9877252 [1] "Iteration 551 of 1000:" [1] 0.986155 [1] "Iteration 552 of 1000:" [1] 0.9871229 [1] "Iteration 553 of 1000:" [1] 0.987201 [1] "Iteration 554 of 1000:" [1] 0.9845368 [1] "Iteration 555 of 1000:" [1] 0.9879717 [1] "Iteration 556 of 1000:" [1] 0.9870726 [1] "Iteration 557 of 1000:" [1] 0.9876387 [1] "Iteration 558 of 1000:" [1] 0.9871166 [1] "Iteration 559 of 1000:" [1] 0.9872642 [1] "Iteration 560 of 1000:" [1] 0.9854457 [1] "Iteration 561 of 1000:" [1] 0.987794 [1] "Iteration 562 of 1000:" [1] 0.9874011 [1] "Iteration 563 of 1000:" [1] 0.9865532 [1] "Iteration 564 of 1000:" [1] 0.9875946 [1] "Iteration 565 of 1000:" [1] 0.9866897 [1] "Iteration 566 of 1000:" [1] 0.9848669 [1] "Iteration 567 of 1000:" [1] 0.9869384 [1] "Iteration 568 of 1000:" [1] 0.9864877 [1] "Iteration 569 of 1000:" [1] 0.9849867 [1] "Iteration 570 of 1000:" [1] 0.9853385 [1] "Iteration 571 of 1000:" [1] 0.9873729 [1] "Iteration 572 of 1000:" [1] 0.9870059 [1] "Iteration 573 of 1000:" [1] 0.9857971 [1] "Iteration 574 of 1000:" [1] 0.9859793 [1] "Iteration 575 of 1000:" [1] 0.9844147 [1] "Iteration 576 of 1000:" [1] 0.9871775 [1] "Iteration 577 of 1000:" [1] 0.9861528 [1] "Iteration 578 of 1000:" [1] 0.9861438 [1] "Iteration 579 of 1000:" [1] 0.9861044 [1] "Iteration 580 of 1000:" [1] 0.9859297 [1] "Iteration 581 of 1000:" [1] 0.9877431 [1] "Iteration 582 of 1000:" [1] 0.9863255 [1] "Iteration 583 of 1000:" [1] 0.9864691 [1] "Iteration 584 of 1000:" [1] 0.9881081 [1] "Iteration 585 of 1000:" [1] 0.9874408 [1] "Iteration 586 of 1000:" [1] 0.9877706 [1] "Iteration 587 of 1000:" [1] 0.986152 [1] "Iteration 588 of 1000:" [1] 0.9848484 [1] "Iteration 589 of 1000:" [1] 0.9865915 [1] "Iteration 590 of 1000:" [1] 0.9876043 [1] "Iteration 591 of 1000:" [1] 0.9866117 [1] "Iteration 592 of 1000:" [1] 0.985007 [1] "Iteration 593 of 1000:" [1] 0.9873782 [1] "Iteration 594 of 1000:" [1] 0.9876047 [1] "Iteration 595 of 1000:" [1] 0.9872583 [1] "Iteration 596 of 1000:" [1] 0.9883757 [1] "Iteration 597 of 1000:" [1] 0.9869964 [1] "Iteration 598 of 1000:" [1] 0.9877181 [1] "Iteration 599 of 1000:" [1] 0.9878922 [1] "Iteration 600 of 1000:" [1] 0.9874104 [1] "Iteration 601 of 1000:" [1] 0.9860688 [1] "Iteration 602 of 1000:" [1] 0.9874606 [1] "Iteration 603 of 1000:" [1] 0.986585 [1] "Iteration 604 of 1000:" [1] 0.9872465 [1] "Iteration 605 of 1000:" [1] 0.9875675 [1] "Iteration 606 of 1000:" [1] 0.9876372 [1] "Iteration 607 of 1000:" [1] 0.9871103 [1] "Iteration 608 of 1000:" [1] 0.9861237 [1] "Iteration 609 of 1000:" [1] 0.9875044 [1] "Iteration 610 of 1000:" [1] 0.9864473 [1] "Iteration 611 of 1000:" [1] 0.9873874 [1] "Iteration 612 of 1000:" [1] 0.9846205 [1] "Iteration 613 of 1000:" [1] 0.9876928 [1] "Iteration 614 of 1000:" [1] 0.9877212 [1] "Iteration 615 of 1000:" [1] 0.985606 [1] "Iteration 616 of 1000:" [1] 0.9876248 [1] "Iteration 617 of 1000:" [1] 0.9850605 [1] "Iteration 618 of 1000:" [1] 0.9870222 [1] "Iteration 619 of 1000:" [1] 0.9874728 [1] "Iteration 620 of 1000:" [1] 0.9850596 [1] "Iteration 621 of 1000:" [1] 0.9878844 [1] "Iteration 622 of 1000:" [1] 0.9871585 [1] "Iteration 623 of 1000:" [1] 0.986045 [1] "Iteration 624 of 1000:" [1] 0.9875923 [1] "Iteration 625 of 1000:" [1] 0.9888373 [1] "Iteration 626 of 1000:" [1] 0.9866999 [1] "Iteration 627 of 1000:" [1] 0.9877936 [1] "Iteration 628 of 1000:" [1] 0.9884371 [1] "Iteration 629 of 1000:" [1] 0.9845294 [1] "Iteration 630 of 1000:" [1] 0.9871363 [1] "Iteration 631 of 1000:" [1] 0.9856 [1] "Iteration 632 of 1000:" [1] 0.9881259 [1] "Iteration 633 of 1000:" [1] 0.987257 [1] "Iteration 634 of 1000:" [1] 0.987464 [1] "Iteration 635 of 1000:" [1] 0.9865139 [1] "Iteration 636 of 1000:" [1] 0.9874144 [1] "Iteration 637 of 1000:" [1] 0.9865958 [1] "Iteration 638 of 1000:" [1] 0.9870246 [1] "Iteration 639 of 1000:" [1] 0.9871137 [1] "Iteration 640 of 1000:" [1] 0.9885103 [1] "Iteration 641 of 1000:" [1] 0.9878677 [1] "Iteration 642 of 1000:" [1] 0.9869398 [1] "Iteration 643 of 1000:" [1] 0.9872259 [1] "Iteration 644 of 1000:" [1] 0.9855819 [1] "Iteration 645 of 1000:" [1] 0.985993 [1] "Iteration 646 of 1000:" [1] 0.9865912 [1] "Iteration 647 of 1000:" [1] 0.9872697 [1] "Iteration 648 of 1000:" [1] 0.984882 [1] "Iteration 649 of 1000:" [1] 0.987238 [1] "Iteration 650 of 1000:" [1] 0.9873494 [1] "Iteration 651 of 1000:" [1] 0.987285 [1] "Iteration 652 of 1000:" [1] 0.9859006 [1] "Iteration 653 of 1000:" [1] 0.9852454 [1] "Iteration 654 of 1000:" [1] 0.9890114 [1] "Iteration 655 of 1000:" [1] 0.9872691 [1] "Iteration 656 of 1000:" [1] 0.9878507 [1] "Iteration 657 of 1000:" [1] 0.9873567 [1] "Iteration 658 of 1000:" [1] 0.9852641 [1] "Iteration 659 of 1000:" [1] 0.9871906 [1] "Iteration 660 of 1000:" [1] 0.9871224 [1] "Iteration 661 of 1000:" [1] 0.9875842 [1] "Iteration 662 of 1000:" [1] 0.9856349 [1] "Iteration 663 of 1000:" [1] 0.9872507 [1] "Iteration 664 of 1000:" [1] 0.9874402 [1] "Iteration 665 of 1000:" [1] 0.9857946 [1] "Iteration 666 of 1000:" [1] 0.9853977 [1] "Iteration 667 of 1000:" [1] 0.985692 [1] "Iteration 668 of 1000:" [1] 0.986662 [1] "Iteration 669 of 1000:" [1] 0.985658 [1] "Iteration 670 of 1000:" [1] 0.9852245 [1] "Iteration 671 of 1000:" [1] 0.9890441 [1] "Iteration 672 of 1000:" [1] 0.984438 [1] "Iteration 673 of 1000:" [1] 0.9874436 [1] "Iteration 674 of 1000:" [1] 0.988694 [1] "Iteration 675 of 1000:" [1] 0.9873418 [1] "Iteration 676 of 1000:" [1] 0.9873613 [1] "Iteration 677 of 1000:" [1] 0.9859545 [1] "Iteration 678 of 1000:" [1] 0.9874518 [1] "Iteration 679 of 1000:" [1] 0.9873754 [1] "Iteration 680 of 1000:" [1] 0.9859592 [1] "Iteration 681 of 1000:" [1] 0.9859187 [1] "Iteration 682 of 1000:" [1] 0.9873914 [1] "Iteration 683 of 1000:" [1] 0.9870947 [1] "Iteration 684 of 1000:" [1] 0.9877209 [1] "Iteration 685 of 1000:" [1] 0.9869353 [1] "Iteration 686 of 1000:" [1] 0.9872826 [1] "Iteration 687 of 1000:" [1] 0.9861216 [1] "Iteration 688 of 1000:" [1] 0.9879438 [1] "Iteration 689 of 1000:" [1] 0.9878748 [1] "Iteration 690 of 1000:" [1] 0.9865689 [1] "Iteration 691 of 1000:" [1] 0.9876709 [1] "Iteration 692 of 1000:" [1] 0.9855331 [1] "Iteration 693 of 1000:" [1] 0.9885 [1] "Iteration 694 of 1000:" [1] 0.9873016 [1] "Iteration 695 of 1000:" [1] 0.987733 [1] "Iteration 696 of 1000:" [1] 0.9872031 [1] "Iteration 697 of 1000:" [1] 0.9876261 [1] "Iteration 698 of 1000:" [1] 0.9881294 [1] "Iteration 699 of 1000:" [1] 0.9848238 [1] "Iteration 700 of 1000:" [1] 0.9855968 [1] "Iteration 701 of 1000:" [1] 0.9880684 [1] "Iteration 702 of 1000:" [1] 0.9852326 [1] "Iteration 703 of 1000:" [1] 0.987713 [1] "Iteration 704 of 1000:" [1] 0.988563 [1] "Iteration 705 of 1000:" [1] 0.9880111 [1] "Iteration 706 of 1000:" [1] 0.9875329 [1] "Iteration 707 of 1000:" [1] 0.9876814 [1] "Iteration 708 of 1000:" [1] 0.9858406 [1] "Iteration 709 of 1000:" [1] 0.9849488 [1] "Iteration 710 of 1000:" [1] 0.985378 [1] "Iteration 711 of 1000:" [1] 0.9852154 [1] "Iteration 712 of 1000:" [1] 0.9875546 [1] "Iteration 713 of 1000:" [1] 0.9867278 [1] "Iteration 714 of 1000:" [1] 0.9846152 [1] "Iteration 715 of 1000:" [1] 0.9875478 [1] "Iteration 716 of 1000:" [1] 0.9875305 [1] "Iteration 717 of 1000:" [1] 0.9866436 [1] "Iteration 718 of 1000:" [1] 0.9845226 [1] "Iteration 719 of 1000:" [1] 0.9857596 [1] "Iteration 720 of 1000:" [1] 0.9848074 [1] "Iteration 721 of 1000:" [1] 0.9849321 [1] "Iteration 722 of 1000:" [1] 0.9873378 [1] "Iteration 723 of 1000:" [1] 0.9879773 [1] "Iteration 724 of 1000:" [1] 0.9873944 [1] "Iteration 725 of 1000:" [1] 0.9873494 [1] "Iteration 726 of 1000:" [1] 0.9855317 [1] "Iteration 727 of 1000:" [1] 0.9876479 [1] "Iteration 728 of 1000:" [1] 0.9878711 [1] "Iteration 729 of 1000:" [1] 0.9872886 [1] "Iteration 730 of 1000:" [1] 0.9856807 [1] "Iteration 731 of 1000:" [1] 0.9879873 [1] "Iteration 732 of 1000:" [1] 0.9847821 [1] "Iteration 733 of 1000:" [1] 0.9856295 [1] "Iteration 734 of 1000:" [1] 0.9862511 [1] "Iteration 735 of 1000:" [1] 0.9868534 [1] "Iteration 736 of 1000:" [1] 0.9849699 [1] "Iteration 737 of 1000:" [1] 0.987516 [1] "Iteration 738 of 1000:" [1] 0.9873807 [1] "Iteration 739 of 1000:" [1] 0.9859017 [1] "Iteration 740 of 1000:" [1] 0.9879152 [1] "Iteration 741 of 1000:" [1] 0.9876908 [1] "Iteration 742 of 1000:" [1] 0.9874472 [1] "Iteration 743 of 1000:" [1] 0.9871083 [1] "Iteration 744 of 1000:" [1] 0.9879691 [1] "Iteration 745 of 1000:" [1] 0.9881863 [1] "Iteration 746 of 1000:" [1] 0.9858166 [1] "Iteration 747 of 1000:" [1] 0.9853418 [1] "Iteration 748 of 1000:" [1] 0.9873292 [1] "Iteration 749 of 1000:" [1] 0.9875673 [1] "Iteration 750 of 1000:" [1] 0.986733 [1] "Iteration 751 of 1000:" [1] 0.9876658 [1] "Iteration 752 of 1000:" [1] 0.9880314 [1] "Iteration 753 of 1000:" [1] 0.9869592 [1] "Iteration 754 of 1000:" [1] 0.9858558 [1] "Iteration 755 of 1000:" [1] 0.9873807 [1] "Iteration 756 of 1000:" [1] 0.9843445 [1] "Iteration 757 of 1000:" [1] 0.9871728 [1] "Iteration 758 of 1000:" [1] 0.9875732 [1] "Iteration 759 of 1000:" [1] 0.9856266 [1] "Iteration 760 of 1000:" [1] 0.9879443 [1] "Iteration 761 of 1000:" [1] 0.9872875 [1] "Iteration 762 of 1000:" [1] 0.9846701 [1] "Iteration 763 of 1000:" [1] 0.9871237 [1] "Iteration 764 of 1000:" [1] 0.987534 [1] "Iteration 765 of 1000:" [1] 0.9874251 [1] "Iteration 766 of 1000:" [1] 0.9870623 [1] "Iteration 767 of 1000:" [1] 0.9880178 [1] "Iteration 768 of 1000:" [1] 0.9857322 [1] "Iteration 769 of 1000:" [1] 0.9853331 [1] "Iteration 770 of 1000:" [1] 0.9853408 [1] "Iteration 771 of 1000:" [1] 0.9877986 [1] "Iteration 772 of 1000:" [1] 0.9872724 [1] "Iteration 773 of 1000:" [1] 0.9871423 [1] "Iteration 774 of 1000:" [1] 0.9851396 [1] "Iteration 775 of 1000:" [1] 0.9853234 [1] "Iteration 776 of 1000:" [1] 0.9872983 [1] "Iteration 777 of 1000:" [1] 0.9884343 [1] "Iteration 778 of 1000:" [1] 0.9877054 [1] "Iteration 779 of 1000:" [1] 0.9843671 [1] "Iteration 780 of 1000:" [1] 0.9872651 [1] "Iteration 781 of 1000:" [1] 0.9856462 [1] "Iteration 782 of 1000:" [1] 0.9868041 [1] "Iteration 783 of 1000:" [1] 0.9876774 [1] "Iteration 784 of 1000:" [1] 0.987473 [1] "Iteration 785 of 1000:" [1] 0.9861613 [1] "Iteration 786 of 1000:" [1] 0.9874136 [1] "Iteration 787 of 1000:" [1] 0.986168 [1] "Iteration 788 of 1000:" [1] 0.9857477 [1] "Iteration 789 of 1000:" [1] 0.9873736 [1] "Iteration 790 of 1000:" [1] 0.9844573 [1] "Iteration 791 of 1000:" [1] 0.9884585 [1] "Iteration 792 of 1000:" [1] 0.9878745 [1] "Iteration 793 of 1000:" [1] 0.9842654 [1] "Iteration 794 of 1000:" [1] 0.9879903 [1] "Iteration 795 of 1000:" [1] 0.9872878 [1] "Iteration 796 of 1000:" [1] 0.9860694 [1] "Iteration 797 of 1000:" [1] 0.9867491 [1] "Iteration 798 of 1000:" [1] 0.9862732 [1] "Iteration 799 of 1000:" [1] 0.985377 [1] "Iteration 800 of 1000:" [1] 0.9852454 [1] "Iteration 801 of 1000:" [1] 0.9872262 [1] "Iteration 802 of 1000:" [1] 0.9882876 [1] "Iteration 803 of 1000:" [1] 0.9853121 [1] "Iteration 804 of 1000:" [1] 0.9856687 [1] "Iteration 805 of 1000:" [1] 0.9871038 [1] "Iteration 806 of 1000:" [1] 0.9851772 [1] "Iteration 807 of 1000:" [1] 0.9867803 [1] "Iteration 808 of 1000:" [1] 0.9859478 [1] "Iteration 809 of 1000:" [1] 0.9870175 [1] "Iteration 810 of 1000:" [1] 0.9850847 [1] "Iteration 811 of 1000:" [1] 0.9854161 [1] "Iteration 812 of 1000:" [1] 0.9876599 [1] "Iteration 813 of 1000:" [1] 0.9879434 [1] "Iteration 814 of 1000:" [1] 0.9876694 [1] "Iteration 815 of 1000:" [1] 0.9841988 [1] "Iteration 816 of 1000:" [1] 0.9887135 [1] "Iteration 817 of 1000:" [1] 0.9846739 [1] "Iteration 818 of 1000:" [1] 0.9877662 [1] "Iteration 819 of 1000:" [1] 0.9878751 [1] "Iteration 820 of 1000:" [1] 0.9856557 [1] "Iteration 821 of 1000:" [1] 0.9857521 [1] "Iteration 822 of 1000:" [1] 0.9876276 [1] "Iteration 823 of 1000:" [1] 0.9864126 [1] "Iteration 824 of 1000:" [1] 0.9850423 [1] "Iteration 825 of 1000:" [1] 0.987538 [1] "Iteration 826 of 1000:" [1] 0.9880838 [1] "Iteration 827 of 1000:" [1] 0.9890686 [1] "Iteration 828 of 1000:" [1] 0.9884635 [1] "Iteration 829 of 1000:" [1] 0.9872931 [1] "Iteration 830 of 1000:" [1] 0.9873494 [1] "Iteration 831 of 1000:" [1] 0.9858698 [1] "Iteration 832 of 1000:" [1] 0.9853698 [1] "Iteration 833 of 1000:" [1] 0.9874984 [1] "Iteration 834 of 1000:" [1] 0.9871475 [1] "Iteration 835 of 1000:" [1] 0.9856715 [1] "Iteration 836 of 1000:" [1] 0.9875925 [1] "Iteration 837 of 1000:" [1] 0.9874862 [1] "Iteration 838 of 1000:" [1] 0.985633 [1] "Iteration 839 of 1000:" [1] 0.9859873 [1] "Iteration 840 of 1000:" [1] 0.9872185 [1] "Iteration 841 of 1000:" [1] 0.9865509 [1] "Iteration 842 of 1000:" [1] 0.986794 [1] "Iteration 843 of 1000:" [1] 0.9877608 [1] "Iteration 844 of 1000:" [1] 0.9857007 [1] "Iteration 845 of 1000:" [1] 0.9870673 [1] "Iteration 846 of 1000:" [1] 0.9874608 [1] "Iteration 847 of 1000:" [1] 0.9860654 [1] "Iteration 848 of 1000:" [1] 0.9858303 [1] "Iteration 849 of 1000:" [1] 0.9876735 [1] "Iteration 850 of 1000:" [1] 0.9879984 [1] "Iteration 851 of 1000:" [1] 0.987629 [1] "Iteration 852 of 1000:" [1] 0.9869808 [1] "Iteration 853 of 1000:" [1] 0.9859151 [1] "Iteration 854 of 1000:" [1] 0.987132 [1] "Iteration 855 of 1000:" [1] 0.9874983 [1] "Iteration 856 of 1000:" [1] 0.9880157 [1] "Iteration 857 of 1000:" [1] 0.9875822 [1] "Iteration 858 of 1000:" [1] 0.9875189 [1] "Iteration 859 of 1000:" [1] 0.9871937 [1] "Iteration 860 of 1000:" [1] 0.9874279 [1] "Iteration 861 of 1000:" [1] 0.9890537 [1] "Iteration 862 of 1000:" [1] 0.9873322 [1] "Iteration 863 of 1000:" [1] 0.9865479 [1] "Iteration 864 of 1000:" [1] 0.9857573 [1] "Iteration 865 of 1000:" [1] 0.9874818 [1] "Iteration 866 of 1000:" [1] 0.9872875 [1] "Iteration 867 of 1000:" [1] 0.9849839 [1] "Iteration 868 of 1000:" [1] 0.9872714 [1] "Iteration 869 of 1000:" [1] 0.9863216 [1] "Iteration 870 of 1000:" [1] 0.9867084 [1] "Iteration 871 of 1000:" [1] 0.9877784 [1] "Iteration 872 of 1000:" [1] 0.9866502 [1] "Iteration 873 of 1000:" [1] 0.984413 [1] "Iteration 874 of 1000:" [1] 0.9859229 [1] "Iteration 875 of 1000:" [1] 0.9871219 [1] "Iteration 876 of 1000:" [1] 0.9856694 [1] "Iteration 877 of 1000:" [1] 0.9862026 [1] "Iteration 878 of 1000:" [1] 0.9860414 [1] "Iteration 879 of 1000:" [1] 0.9889417 [1] "Iteration 880 of 1000:" [1] 0.9856001 [1] "Iteration 881 of 1000:" [1] 0.9880281 [1] "Iteration 882 of 1000:" [1] 0.9877501 [1] "Iteration 883 of 1000:" [1] 0.9855958 [1] "Iteration 884 of 1000:" [1] 0.9879184 [1] "Iteration 885 of 1000:" [1] 0.987303 [1] "Iteration 886 of 1000:" [1] 0.987464 [1] "Iteration 887 of 1000:" [1] 0.987268 [1] "Iteration 888 of 1000:" [1] 0.9860918 [1] "Iteration 889 of 1000:" [1] 0.9856804 [1] "Iteration 890 of 1000:" [1] 0.9882179 [1] "Iteration 891 of 1000:" [1] 0.9862445 [1] "Iteration 892 of 1000:" [1] 0.9859121 [1] "Iteration 893 of 1000:" [1] 0.9874694 [1] "Iteration 894 of 1000:" [1] 0.9876743 [1] "Iteration 895 of 1000:" [1] 0.9855774 [1] "Iteration 896 of 1000:" [1] 0.9872583 [1] "Iteration 897 of 1000:" [1] 0.9883573 [1] "Iteration 898 of 1000:" [1] 0.987904 [1] "Iteration 899 of 1000:" [1] 0.9874136 [1] "Iteration 900 of 1000:" [1] 0.9875164 [1] "Iteration 901 of 1000:" [1] 0.9872065 [1] "Iteration 902 of 1000:" [1] 0.9859622 [1] "Iteration 903 of 1000:" [1] 0.9878215 [1] "Iteration 904 of 1000:" [1] 0.9862829 [1] "Iteration 905 of 1000:" [1] 0.9873729 [1] "Iteration 906 of 1000:" [1] 0.9872807 [1] "Iteration 907 of 1000:" [1] 0.9851038 [1] "Iteration 908 of 1000:" [1] 0.9852437 [1] "Iteration 909 of 1000:" [1] 0.9879501 [1] "Iteration 910 of 1000:" [1] 0.9871701 [1] "Iteration 911 of 1000:" [1] 0.9877276 [1] "Iteration 912 of 1000:" [1] 0.9870576 [1] "Iteration 913 of 1000:" [1] 0.9873516 [1] "Iteration 914 of 1000:" [1] 0.9880136 [1] "Iteration 915 of 1000:" [1] 0.9873944 [1] "Iteration 916 of 1000:" [1] 0.9870751 [1] "Iteration 917 of 1000:" [1] 0.9872846 [1] "Iteration 918 of 1000:" [1] 0.9873526 [1] "Iteration 919 of 1000:" [1] 0.9872071 [1] "Iteration 920 of 1000:" [1] 0.9854388 [1] "Iteration 921 of 1000:" [1] 0.9848544 [1] "Iteration 922 of 1000:" [1] 0.987055 [1] "Iteration 923 of 1000:" [1] 0.9868724 [1] "Iteration 924 of 1000:" [1] 0.9855432 [1] "Iteration 925 of 1000:" [1] 0.9875206 [1] "Iteration 926 of 1000:" [1] 0.9860619 [1] "Iteration 927 of 1000:" [1] 0.9868241 [1] "Iteration 928 of 1000:" [1] 0.9872191 [1] "Iteration 929 of 1000:" [1] 0.9876951 [1] "Iteration 930 of 1000:" [1] 0.988832 [1] "Iteration 931 of 1000:" [1] 0.9874317 [1] "Iteration 932 of 1000:" [1] 0.9861843 [1] "Iteration 933 of 1000:" [1] 0.9853064 [1] "Iteration 934 of 1000:" [1] 0.9871927 [1] "Iteration 935 of 1000:" [1] 0.9879673 [1] "Iteration 936 of 1000:" [1] 0.9853361 [1] "Iteration 937 of 1000:" [1] 0.9865015 [1] "Iteration 938 of 1000:" [1] 0.9857507 [1] "Iteration 939 of 1000:" [1] 0.9851087 [1] "Iteration 940 of 1000:" [1] 0.9860383 [1] "Iteration 941 of 1000:" [1] 0.9883058 [1] "Iteration 942 of 1000:" [1] 0.9876076 [1] "Iteration 943 of 1000:" [1] 0.9888699 [1] "Iteration 944 of 1000:" [1] 0.9860749 [1] "Iteration 945 of 1000:" [1] 0.984816 [1] "Iteration 946 of 1000:" [1] 0.9862511 [1] "Iteration 947 of 1000:" [1] 0.985392 [1] "Iteration 948 of 1000:" [1] 0.9859994 [1] "Iteration 949 of 1000:" [1] 0.9873622 [1] "Iteration 950 of 1000:" [1] 0.9878252 [1] "Iteration 951 of 1000:" [1] 0.9889292 [1] "Iteration 952 of 1000:" [1] 0.9860377 [1] "Iteration 953 of 1000:" [1] 0.9858891 [1] "Iteration 954 of 1000:" [1] 0.9871794 [1] "Iteration 955 of 1000:" [1] 0.9859116 [1] "Iteration 956 of 1000:" [1] 0.9870789 [1] "Iteration 957 of 1000:" [1] 0.9879749 [1] "Iteration 958 of 1000:" [1] 0.9855894 [1] "Iteration 959 of 1000:" [1] 0.9874719 [1] "Iteration 960 of 1000:" [1] 0.9873494 [1] "Iteration 961 of 1000:" [1] 0.9874149 [1] "Iteration 962 of 1000:" [1] 0.98767 [1] "Iteration 963 of 1000:" [1] 0.9855013 [1] "Iteration 964 of 1000:" [1] 0.9873954 [1] "Iteration 965 of 1000:" [1] 0.985836 [1] "Iteration 966 of 1000:" [1] 0.9854355 [1] "Iteration 967 of 1000:" [1] 0.9853982 [1] "Iteration 968 of 1000:" [1] 0.9868953 [1] "Iteration 969 of 1000:" [1] 0.9879629 [1] "Iteration 970 of 1000:" [1] 0.9843989 [1] "Iteration 971 of 1000:" [1] 0.9889912 [1] "Iteration 972 of 1000:" [1] 0.9877849 [1] "Iteration 973 of 1000:" [1] 0.9859846 [1] "Iteration 974 of 1000:" [1] 0.9875734 [1] "Iteration 975 of 1000:" [1] 0.9877088 [1] "Iteration 976 of 1000:" [1] 0.9858579 [1] "Iteration 977 of 1000:" [1] 0.9875734 [1] "Iteration 978 of 1000:" [1] 0.9846858 [1] "Iteration 979 of 1000:" [1] 0.9855713 [1] "Iteration 980 of 1000:" [1] 0.9870966 [1] "Iteration 981 of 1000:" [1] 0.9865821 [1] "Iteration 982 of 1000:" [1] 0.9862359 [1] "Iteration 983 of 1000:" [1] 0.985581 [1] "Iteration 984 of 1000:" [1] 0.9845626 [1] "Iteration 985 of 1000:" [1] 0.9848742 [1] "Iteration 986 of 1000:" [1] 0.987142 [1] "Iteration 987 of 1000:" [1] 0.9856457 [1] "Iteration 988 of 1000:" [1] 0.9855968 [1] "Iteration 989 of 1000:" [1] 0.984977 [1] "Iteration 990 of 1000:" [1] 0.9845213 [1] "Iteration 991 of 1000:" [1] 0.9871347 [1] "Iteration 992 of 1000:" [1] 0.9876115 [1] "Iteration 993 of 1000:" [1] 0.9875496 [1] "Iteration 994 of 1000:" [1] 0.986217 [1] "Iteration 995 of 1000:" [1] 0.988062 [1] "Iteration 996 of 1000:" [1] 0.9869628 [1] "Iteration 997 of 1000:" [1] 0.9859014 [1] "Iteration 998 of 1000:" [1] 0.9887116 [1] "Iteration 999 of 1000:" [1] 0.9864018 [1] "Iteration 1000 of 1000:" [1] 0.9875223 [1] "Iteration 1 of 1000:" [1] 0.9871356 [1] "Iteration 2 of 1000:" [1] 0.9858629 [1] "Iteration 3 of 1000:" [1] 0.9852934 [1] "Iteration 4 of 1000:" [1] 0.9864976 [1] "Iteration 5 of 1000:" [1] 0.98666 [1] "Iteration 6 of 1000:" [1] 0.9873664 [1] "Iteration 7 of 1000:" [1] 0.9855408 [1] "Iteration 8 of 1000:" [1] 0.9857193 [1] "Iteration 9 of 1000:" [1] 0.9868165 [1] "Iteration 10 of 1000:" [1] 0.9873018 [1] "Iteration 11 of 1000:" [1] 0.988008 [1] "Iteration 12 of 1000:" [1] 0.9858449 [1] "Iteration 13 of 1000:" [1] 0.9852229 [1] "Iteration 14 of 1000:" [1] 0.9859525 [1] "Iteration 15 of 1000:" [1] 0.9877347 [1] "Iteration 16 of 1000:" [1] 0.9865205 [1] "Iteration 17 of 1000:" [1] 0.9877079 [1] "Iteration 18 of 1000:" [1] 0.9853135 [1] "Iteration 19 of 1000:" [1] 0.9858562 [1] "Iteration 20 of 1000:" [1] 0.9873895 [1] "Iteration 21 of 1000:" [1] 0.985352 [1] "Iteration 22 of 1000:" [1] 0.9877437 [1] "Iteration 23 of 1000:" [1] 0.9857428 [1] "Iteration 24 of 1000:" [1] 0.9889688 [1] "Iteration 25 of 1000:" [1] 0.9845348 [1] "Iteration 26 of 1000:" [1] 0.9866672 [1] "Iteration 27 of 1000:" [1] 0.9867822 [1] "Iteration 28 of 1000:" [1] 0.9878422 [1] "Iteration 29 of 1000:" [1] 0.9862828 [1] "Iteration 30 of 1000:" [1] 0.9877082 [1] "Iteration 31 of 1000:" [1] 0.9871501 [1] "Iteration 32 of 1000:" [1] 0.9864558 [1] "Iteration 33 of 1000:" [1] 0.9873271 [1] "Iteration 34 of 1000:" [1] 0.987845 [1] "Iteration 35 of 1000:" [1] 0.9867573 [1] "Iteration 36 of 1000:" [1] 0.9851589 [1] "Iteration 37 of 1000:" [1] 0.9846944 [1] "Iteration 38 of 1000:" [1] 0.9863379 [1] "Iteration 39 of 1000:" [1] 0.9850975 [1] "Iteration 40 of 1000:" [1] 0.9870049 [1] "Iteration 41 of 1000:" [1] 0.9873823 [1] "Iteration 42 of 1000:" [1] 0.986551 [1] "Iteration 43 of 1000:" [1] 0.9844077 [1] "Iteration 44 of 1000:" [1] 0.9885619 [1] "Iteration 45 of 1000:" [1] 0.9854194 [1] "Iteration 46 of 1000:" [1] 0.9884386 [1] "Iteration 47 of 1000:" [1] 0.9861977 [1] "Iteration 48 of 1000:" [1] 0.9887945 [1] "Iteration 49 of 1000:" [1] 0.9857066 [1] "Iteration 50 of 1000:" [1] 0.9851537 [1] "Iteration 51 of 1000:" [1] 0.984822 [1] "Iteration 52 of 1000:" [1] 0.9850979 [1] "Iteration 53 of 1000:" [1] 0.9855774 [1] "Iteration 54 of 1000:" [1] 0.9858609 [1] "Iteration 55 of 1000:" [1] 0.985474 [1] "Iteration 56 of 1000:" [1] 0.9882238 [1] "Iteration 57 of 1000:" [1] 0.9854497 [1] "Iteration 58 of 1000:" [1] 0.9879698 [1] "Iteration 59 of 1000:" [1] 0.9877344 [1] "Iteration 60 of 1000:" [1] 0.9856782 [1] "Iteration 61 of 1000:" [1] 0.9879713 [1] "Iteration 62 of 1000:" [1] 0.987534 [1] "Iteration 63 of 1000:" [1] 0.9865921 [1] "Iteration 64 of 1000:" [1] 0.9884912 [1] "Iteration 65 of 1000:" [1] 0.9866123 [1] "Iteration 66 of 1000:" [1] 0.987464 [1] "Iteration 67 of 1000:" [1] 0.9867202 [1] "Iteration 68 of 1000:" [1] 0.9860097 [1] "Iteration 69 of 1000:" [1] 0.9882398 [1] "Iteration 70 of 1000:" [1] 0.9890112 [1] "Iteration 71 of 1000:" [1] 0.9862517 [1] "Iteration 72 of 1000:" [1] 0.9881929 [1] "Iteration 73 of 1000:" [1] 0.9858043 [1] "Iteration 74 of 1000:" [1] 0.9861346 [1] "Iteration 75 of 1000:" [1] 0.9848657 [1] "Iteration 76 of 1000:" [1] 0.9884712 [1] "Iteration 77 of 1000:" [1] 0.9881255 [1] "Iteration 78 of 1000:" [1] 0.9874365 [1] "Iteration 79 of 1000:" [1] 0.9867092 [1] "Iteration 80 of 1000:" [1] 0.9870619 [1] "Iteration 81 of 1000:" [1] 0.984836 [1] "Iteration 82 of 1000:" [1] 0.9860713 [1] "Iteration 83 of 1000:" [1] 0.9857327 [1] "Iteration 84 of 1000:" [1] 0.9865126 [1] "Iteration 85 of 1000:" [1] 0.988868 [1] "Iteration 86 of 1000:" [1] 0.9880142 [1] "Iteration 87 of 1000:" [1] 0.9863403 [1] "Iteration 88 of 1000:" [1] 0.9866148 [1] "Iteration 89 of 1000:" [1] 0.9882537 [1] "Iteration 90 of 1000:" [1] 0.9874631 [1] "Iteration 91 of 1000:" [1] 0.9855744 [1] "Iteration 92 of 1000:" [1] 0.9850718 [1] "Iteration 93 of 1000:" [1] 0.9881336 [1] "Iteration 94 of 1000:" [1] 0.9886695 [1] "Iteration 95 of 1000:" [1] 0.9854582 [1] "Iteration 96 of 1000:" [1] 0.986155 [1] "Iteration 97 of 1000:" [1] 0.9861303 [1] "Iteration 98 of 1000:" [1] 0.9876092 [1] "Iteration 99 of 1000:" [1] 0.9861165 [1] "Iteration 100 of 1000:" [1] 0.9873429 [1] "Iteration 101 of 1000:" [1] 0.9857267 [1] "Iteration 102 of 1000:" [1] 0.9877533 [1] "Iteration 103 of 1000:" [1] 0.9885703 [1] "Iteration 104 of 1000:" [1] 0.9862341 [1] "Iteration 105 of 1000:" [1] 0.9863941 [1] "Iteration 106 of 1000:" [1] 0.9854702 [1] "Iteration 107 of 1000:" [1] 0.9876816 [1] "Iteration 108 of 1000:" [1] 0.98828 [1] "Iteration 109 of 1000:" [1] 0.9850386 [1] "Iteration 110 of 1000:" [1] 0.9878468 [1] "Iteration 111 of 1000:" [1] 0.987671 [1] "Iteration 112 of 1000:" [1] 0.9880832 [1] "Iteration 113 of 1000:" [1] 0.9881402 [1] "Iteration 114 of 1000:" [1] 0.987404 [1] "Iteration 115 of 1000:" [1] 0.9876212 [1] "Iteration 116 of 1000:" [1] 0.9855949 [1] "Iteration 117 of 1000:" [1] 0.9848617 [1] "Iteration 118 of 1000:" [1] 0.9860033 [1] "Iteration 119 of 1000:" [1] 0.9857404 [1] "Iteration 120 of 1000:" [1] 0.9849843 [1] "Iteration 121 of 1000:" [1] 0.9840517 [1] "Iteration 122 of 1000:" [1] 0.9857797 [1] "Iteration 123 of 1000:" [1] 0.9856314 [1] "Iteration 124 of 1000:" [1] 0.9858147 [1] "Iteration 125 of 1000:" [1] 0.9884711 [1] "Iteration 126 of 1000:" [1] 0.9860418 [1] "Iteration 127 of 1000:" [1] 0.9877098 [1] "Iteration 128 of 1000:" [1] 0.9872151 [1] "Iteration 129 of 1000:" [1] 0.9869584 [1] "Iteration 130 of 1000:" [1] 0.9874461 [1] "Iteration 131 of 1000:" [1] 0.9862376 [1] "Iteration 132 of 1000:" [1] 0.9876028 [1] "Iteration 133 of 1000:" [1] 0.9868642 [1] "Iteration 134 of 1000:" [1] 0.9856212 [1] "Iteration 135 of 1000:" [1] 0.9865408 [1] "Iteration 136 of 1000:" [1] 0.9875571 [1] "Iteration 137 of 1000:" [1] 0.9879375 [1] "Iteration 138 of 1000:" [1] 0.9861037 [1] "Iteration 139 of 1000:" [1] 0.9874959 [1] "Iteration 140 of 1000:" [1] 0.9871672 [1] "Iteration 141 of 1000:" [1] 0.9854726 [1] "Iteration 142 of 1000:" [1] 0.9882265 [1] "Iteration 143 of 1000:" [1] 0.9876677 [1] "Iteration 144 of 1000:" [1] 0.9862878 [1] "Iteration 145 of 1000:" [1] 0.9878226 [1] "Iteration 146 of 1000:" [1] 0.9863617 [1] "Iteration 147 of 1000:" [1] 0.9842879 [1] "Iteration 148 of 1000:" [1] 0.9846901 [1] "Iteration 149 of 1000:" [1] 0.9856386 [1] "Iteration 150 of 1000:" [1] 0.9852903 [1] "Iteration 151 of 1000:" [1] 0.9872437 [1] "Iteration 152 of 1000:" [1] 0.9861122 [1] "Iteration 153 of 1000:" [1] 0.9861264 [1] "Iteration 154 of 1000:" [1] 0.9857542 [1] "Iteration 155 of 1000:" [1] 0.9861588 [1] "Iteration 156 of 1000:" [1] 0.9874188 [1] "Iteration 157 of 1000:" [1] 0.9863861 [1] "Iteration 158 of 1000:" [1] 0.9878067 [1] "Iteration 159 of 1000:" [1] 0.9853769 [1] "Iteration 160 of 1000:" [1] 0.9854615 [1] "Iteration 161 of 1000:" [1] 0.9857348 [1] "Iteration 162 of 1000:" [1] 0.9879488 [1] "Iteration 163 of 1000:" [1] 0.9877158 [1] "Iteration 164 of 1000:" [1] 0.9881839 [1] "Iteration 165 of 1000:" [1] 0.9879833 [1] "Iteration 166 of 1000:" [1] 0.9853082 [1] "Iteration 167 of 1000:" [1] 0.9870539 [1] "Iteration 168 of 1000:" [1] 0.9866348 [1] "Iteration 169 of 1000:" [1] 0.9877361 [1] "Iteration 170 of 1000:" [1] 0.9879986 [1] "Iteration 171 of 1000:" [1] 0.9847761 [1] "Iteration 172 of 1000:" [1] 0.9860356 [1] "Iteration 173 of 1000:" [1] 0.9880413 [1] "Iteration 174 of 1000:" [1] 0.9855812 [1] "Iteration 175 of 1000:" [1] 0.9863304 [1] "Iteration 176 of 1000:" [1] 0.9871252 [1] "Iteration 177 of 1000:" [1] 0.9860743 [1] "Iteration 178 of 1000:" [1] 0.9876148 [1] "Iteration 179 of 1000:" [1] 0.9860924 [1] "Iteration 180 of 1000:" [1] 0.9886661 [1] "Iteration 181 of 1000:" [1] 0.9858739 [1] "Iteration 182 of 1000:" [1] 0.9852198 [1] "Iteration 183 of 1000:" [1] 0.9850207 [1] "Iteration 184 of 1000:" [1] 0.98482 [1] "Iteration 185 of 1000:" [1] 0.9877529 [1] "Iteration 186 of 1000:" [1] 0.9871318 [1] "Iteration 187 of 1000:" [1] 0.9860037 [1] "Iteration 188 of 1000:" [1] 0.9850326 [1] "Iteration 189 of 1000:" [1] 0.9862206 [1] "Iteration 190 of 1000:" [1] 0.9857674 [1] "Iteration 191 of 1000:" [1] 0.9879055 [1] "Iteration 192 of 1000:" [1] 0.9875694 [1] "Iteration 193 of 1000:" [1] 0.9864007 [1] "Iteration 194 of 1000:" [1] 0.9875615 [1] "Iteration 195 of 1000:" [1] 0.9885856 [1] "Iteration 196 of 1000:" [1] 0.9881619 [1] "Iteration 197 of 1000:" [1] 0.9878815 [1] "Iteration 198 of 1000:" [1] 0.9878028 [1] "Iteration 199 of 1000:" [1] 0.9880979 [1] "Iteration 200 of 1000:" [1] 0.9853539 [1] "Iteration 201 of 1000:" [1] 0.9870269 [1] "Iteration 202 of 1000:" [1] 0.9851092 [1] "Iteration 203 of 1000:" [1] 0.9842048 [1] "Iteration 204 of 1000:" [1] 0.9877182 [1] "Iteration 205 of 1000:" [1] 0.9855504 [1] "Iteration 206 of 1000:" [1] 0.9879879 [1] "Iteration 207 of 1000:" [1] 0.9857801 [1] "Iteration 208 of 1000:" [1] 0.9860412 [1] "Iteration 209 of 1000:" [1] 0.9875542 [1] "Iteration 210 of 1000:" [1] 0.9858082 [1] "Iteration 211 of 1000:" [1] 0.985984 [1] "Iteration 212 of 1000:" [1] 0.9861429 [1] "Iteration 213 of 1000:" [1] 0.988212 [1] "Iteration 214 of 1000:" [1] 0.9849381 [1] "Iteration 215 of 1000:" [1] 0.9881236 [1] "Iteration 216 of 1000:" [1] 0.9852223 [1] "Iteration 217 of 1000:" [1] 0.9854946 [1] "Iteration 218 of 1000:" [1] 0.9886462 [1] "Iteration 219 of 1000:" [1] 0.987196 [1] "Iteration 220 of 1000:" [1] 0.9876923 [1] "Iteration 221 of 1000:" [1] 0.9868851 [1] "Iteration 222 of 1000:" [1] 0.9875502 [1] "Iteration 223 of 1000:" [1] 0.9855926 [1] "Iteration 224 of 1000:" [1] 0.9871217 [1] "Iteration 225 of 1000:" [1] 0.9865099 [1] "Iteration 226 of 1000:" [1] 0.9854721 [1] "Iteration 227 of 1000:" [1] 0.9864419 [1] "Iteration 228 of 1000:" [1] 0.9852296 [1] "Iteration 229 of 1000:" [1] 0.9863 [1] "Iteration 230 of 1000:" [1] 0.9869331 [1] "Iteration 231 of 1000:" [1] 0.9876718 [1] "Iteration 232 of 1000:" [1] 0.9847924 [1] "Iteration 233 of 1000:" [1] 0.9890018 [1] "Iteration 234 of 1000:" [1] 0.9886247 [1] "Iteration 235 of 1000:" [1] 0.9859143 [1] "Iteration 236 of 1000:" [1] 0.9856267 [1] "Iteration 237 of 1000:" [1] 0.9861911 [1] "Iteration 238 of 1000:" [1] 0.9855527 [1] "Iteration 239 of 1000:" [1] 0.9883507 [1] "Iteration 240 of 1000:" [1] 0.9857847 [1] "Iteration 241 of 1000:" [1] 0.9863882 [1] "Iteration 242 of 1000:" [1] 0.9852231 [1] "Iteration 243 of 1000:" [1] 0.9875223 [1] "Iteration 244 of 1000:" [1] 0.9855252 [1] "Iteration 245 of 1000:" [1] 0.987411 [1] "Iteration 246 of 1000:" [1] 0.9880836 [1] "Iteration 247 of 1000:" [1] 0.9853509 [1] "Iteration 248 of 1000:" [1] 0.9858392 [1] "Iteration 249 of 1000:" [1] 0.9856547 [1] "Iteration 250 of 1000:" [1] 0.9856411 [1] "Iteration 251 of 1000:" [1] 0.9847295 [1] "Iteration 252 of 1000:" [1] 0.9868863 [1] "Iteration 253 of 1000:" [1] 0.9861615 [1] "Iteration 254 of 1000:" [1] 0.9878398 [1] "Iteration 255 of 1000:" [1] 0.989473 [1] "Iteration 256 of 1000:" [1] 0.9886032 [1] "Iteration 257 of 1000:" [1] 0.9871846 [1] "Iteration 258 of 1000:" [1] 0.9854807 [1] "Iteration 259 of 1000:" [1] 0.9839734 [1] "Iteration 260 of 1000:" [1] 0.9887457 [1] "Iteration 261 of 1000:" [1] 0.9849099 [1] "Iteration 262 of 1000:" [1] 0.9870802 [1] "Iteration 263 of 1000:" [1] 0.9860448 [1] "Iteration 264 of 1000:" [1] 0.9847202 [1] "Iteration 265 of 1000:" [1] 0.988093 [1] "Iteration 266 of 1000:" [1] 0.9883705 [1] "Iteration 267 of 1000:" [1] 0.9879958 [1] "Iteration 268 of 1000:" [1] 0.9867784 [1] "Iteration 269 of 1000:" [1] 0.9866916 [1] "Iteration 270 of 1000:" [1] 0.9855965 [1] "Iteration 271 of 1000:" [1] 0.9866827 [1] "Iteration 272 of 1000:" [1] 0.9861942 [1] "Iteration 273 of 1000:" [1] 0.985918 [1] "Iteration 274 of 1000:" [1] 0.9867504 [1] "Iteration 275 of 1000:" [1] 0.9864711 [1] "Iteration 276 of 1000:" [1] 0.9867164 [1] "Iteration 277 of 1000:" [1] 0.9862991 [1] "Iteration 278 of 1000:" [1] 0.98702 [1] "Iteration 279 of 1000:" [1] 0.9854453 [1] "Iteration 280 of 1000:" [1] 0.9857549 [1] "Iteration 281 of 1000:" [1] 0.9858953 [1] "Iteration 282 of 1000:" [1] 0.9867265 [1] "Iteration 283 of 1000:" [1] 0.9873271 [1] "Iteration 284 of 1000:" [1] 0.986938 [1] "Iteration 285 of 1000:" [1] 0.9871595 [1] "Iteration 286 of 1000:" [1] 0.9853998 [1] "Iteration 287 of 1000:" [1] 0.987642 [1] "Iteration 288 of 1000:" [1] 0.9885831 [1] "Iteration 289 of 1000:" [1] 0.988675 [1] "Iteration 290 of 1000:" [1] 0.9870271 [1] "Iteration 291 of 1000:" [1] 0.9843338 [1] "Iteration 292 of 1000:" [1] 0.9874468 [1] "Iteration 293 of 1000:" [1] 0.9870915 [1] "Iteration 294 of 1000:" [1] 0.987931 [1] "Iteration 295 of 1000:" [1] 0.9864612 [1] "Iteration 296 of 1000:" [1] 0.9826271 [1] "Iteration 297 of 1000:" [1] 0.9880681 [1] "Iteration 298 of 1000:" [1] 0.9862912 [1] "Iteration 299 of 1000:" [1] 0.9851963 [1] "Iteration 300 of 1000:" [1] 0.9841649 [1] "Iteration 301 of 1000:" [1] 0.9855959 [1] "Iteration 302 of 1000:" [1] 0.9865432 [1] "Iteration 303 of 1000:" [1] 0.9889204 [1] "Iteration 304 of 1000:" [1] 0.9881959 [1] "Iteration 305 of 1000:" [1] 0.9875734 [1] "Iteration 306 of 1000:" [1] 0.9877083 [1] "Iteration 307 of 1000:" [1] 0.9860286 [1] "Iteration 308 of 1000:" [1] 0.988811 [1] "Iteration 309 of 1000:" [1] 0.9893289 [1] "Iteration 310 of 1000:" [1] 0.9881276 [1] "Iteration 311 of 1000:" [1] 0.985681 [1] "Iteration 312 of 1000:" [1] 0.9875928 [1] "Iteration 313 of 1000:" [1] 0.9855336 [1] "Iteration 314 of 1000:" [1] 0.9864986 [1] "Iteration 315 of 1000:" [1] 0.9857316 [1] "Iteration 316 of 1000:" [1] 0.9881761 [1] "Iteration 317 of 1000:" [1] 0.9882381 [1] "Iteration 318 of 1000:" [1] 0.9856878 [1] "Iteration 319 of 1000:" [1] 0.9883876 [1] "Iteration 320 of 1000:" [1] 0.9847378 [1] "Iteration 321 of 1000:" [1] 0.9858257 [1] "Iteration 322 of 1000:" [1] 0.9862394 [1] "Iteration 323 of 1000:" [1] 0.986533 [1] "Iteration 324 of 1000:" [1] 0.986133 [1] "Iteration 325 of 1000:" [1] 0.988254 [1] "Iteration 326 of 1000:" [1] 0.985413 [1] "Iteration 327 of 1000:" [1] 0.9856097 [1] "Iteration 328 of 1000:" [1] 0.9883451 [1] "Iteration 329 of 1000:" [1] 0.9851342 [1] "Iteration 330 of 1000:" [1] 0.9880203 [1] "Iteration 331 of 1000:" [1] 0.9868689 [1] "Iteration 332 of 1000:" [1] 0.9862519 [1] "Iteration 333 of 1000:" [1] 0.9848354 [1] "Iteration 334 of 1000:" [1] 0.9860422 [1] "Iteration 335 of 1000:" [1] 0.9875437 [1] "Iteration 336 of 1000:" [1] 0.9873766 [1] "Iteration 337 of 1000:" [1] 0.9870737 [1] "Iteration 338 of 1000:" [1] 0.9847822 [1] "Iteration 339 of 1000:" [1] 0.9846697 [1] "Iteration 340 of 1000:" [1] 0.98636 [1] "Iteration 341 of 1000:" [1] 0.9870655 [1] "Iteration 342 of 1000:" [1] 0.9857662 [1] "Iteration 343 of 1000:" [1] 0.987641 [1] "Iteration 344 of 1000:" [1] 0.9853067 [1] "Iteration 345 of 1000:" [1] 0.9877795 [1] "Iteration 346 of 1000:" [1] 0.9875259 [1] "Iteration 347 of 1000:" [1] 0.987574 [1] "Iteration 348 of 1000:" [1] 0.9866117 [1] "Iteration 349 of 1000:" [1] 0.9878631 [1] "Iteration 350 of 1000:" [1] 0.9851845 [1] "Iteration 351 of 1000:" [1] 0.9877481 [1] "Iteration 352 of 1000:" [1] 0.9873354 [1] "Iteration 353 of 1000:" [1] 0.9869541 [1] "Iteration 354 of 1000:" [1] 0.9865787 [1] "Iteration 355 of 1000:" [1] 0.9870832 [1] "Iteration 356 of 1000:" [1] 0.9886843 [1] "Iteration 357 of 1000:" [1] 0.9886525 [1] "Iteration 358 of 1000:" [1] 0.9859891 [1] "Iteration 359 of 1000:" [1] 0.9853414 [1] "Iteration 360 of 1000:" [1] 0.9865886 [1] "Iteration 361 of 1000:" [1] 0.9869628 [1] "Iteration 362 of 1000:" [1] 0.9877906 [1] "Iteration 363 of 1000:" [1] 0.9877422 [1] "Iteration 364 of 1000:" [1] 0.9851152 [1] "Iteration 365 of 1000:" [1] 0.9856186 [1] "Iteration 366 of 1000:" [1] 0.9867461 [1] "Iteration 367 of 1000:" [1] 0.9848506 [1] "Iteration 368 of 1000:" [1] 0.9888973 [1] "Iteration 369 of 1000:" [1] 0.9875339 [1] "Iteration 370 of 1000:" [1] 0.9870329 [1] "Iteration 371 of 1000:" [1] 0.9876447 [1] "Iteration 372 of 1000:" [1] 0.9851809 [1] "Iteration 373 of 1000:" [1] 0.9851016 [1] "Iteration 374 of 1000:" [1] 0.9859076 [1] "Iteration 375 of 1000:" [1] 0.9871371 [1] "Iteration 376 of 1000:" [1] 0.9868016 [1] "Iteration 377 of 1000:" [1] 0.9856831 [1] "Iteration 378 of 1000:" [1] 0.9880141 [1] "Iteration 379 of 1000:" [1] 0.9881686 [1] "Iteration 380 of 1000:" [1] 0.9867181 [1] "Iteration 381 of 1000:" [1] 0.986014 [1] "Iteration 382 of 1000:" [1] 0.9861003 [1] "Iteration 383 of 1000:" [1] 0.9870662 [1] "Iteration 384 of 1000:" [1] 0.986505 [1] "Iteration 385 of 1000:" [1] 0.9877756 [1] "Iteration 386 of 1000:" [1] 0.98502 [1] "Iteration 387 of 1000:" [1] 0.9879571 [1] "Iteration 388 of 1000:" [1] 0.9864496 [1] "Iteration 389 of 1000:" [1] 0.9862559 [1] "Iteration 390 of 1000:" [1] 0.9860338 [1] "Iteration 391 of 1000:" [1] 0.988748 [1] "Iteration 392 of 1000:" [1] 0.98457 [1] "Iteration 393 of 1000:" [1] 0.9844221 [1] "Iteration 394 of 1000:" [1] 0.9878055 [1] "Iteration 395 of 1000:" [1] 0.985143 [1] "Iteration 396 of 1000:" [1] 0.988321 [1] "Iteration 397 of 1000:" [1] 0.9887464 [1] "Iteration 398 of 1000:" [1] 0.984492 [1] "Iteration 399 of 1000:" [1] 0.9864506 [1] "Iteration 400 of 1000:" [1] 0.9875889 [1] "Iteration 401 of 1000:" [1] 0.9833126 [1] "Iteration 402 of 1000:" [1] 0.9855851 [1] "Iteration 403 of 1000:" [1] 0.9880181 [1] "Iteration 404 of 1000:" [1] 0.9870187 [1] "Iteration 405 of 1000:" [1] 0.9844903 [1] "Iteration 406 of 1000:" [1] 0.9871444 [1] "Iteration 407 of 1000:" [1] 0.9866977 [1] "Iteration 408 of 1000:" [1] 0.9875716 [1] "Iteration 409 of 1000:" [1] 0.987258 [1] "Iteration 410 of 1000:" [1] 0.9847406 [1] "Iteration 411 of 1000:" [1] 0.986721 [1] "Iteration 412 of 1000:" [1] 0.9871919 [1] "Iteration 413 of 1000:" [1] 0.9841961 [1] "Iteration 414 of 1000:" [1] 0.9880971 [1] "Iteration 415 of 1000:" [1] 0.9850353 [1] "Iteration 416 of 1000:" [1] 0.9844474 [1] "Iteration 417 of 1000:" [1] 0.9871372 [1] "Iteration 418 of 1000:" [1] 0.9864954 [1] "Iteration 419 of 1000:" [1] 0.9862874 [1] "Iteration 420 of 1000:" [1] 0.9860719 [1] "Iteration 421 of 1000:" [1] 0.988584 [1] "Iteration 422 of 1000:" [1] 0.9844755 [1] "Iteration 423 of 1000:" [1] 0.9870766 [1] "Iteration 424 of 1000:" [1] 0.9854241 [1] "Iteration 425 of 1000:" [1] 0.9875019 [1] "Iteration 426 of 1000:" [1] 0.987099 [1] "Iteration 427 of 1000:" [1] 0.9863561 [1] "Iteration 428 of 1000:" [1] 0.9871419 [1] "Iteration 429 of 1000:" [1] 0.9884513 [1] "Iteration 430 of 1000:" [1] 0.9844474 [1] "Iteration 431 of 1000:" [1] 0.9881226 [1] "Iteration 432 of 1000:" [1] 0.9878035 [1] "Iteration 433 of 1000:" [1] 0.9874736 [1] "Iteration 434 of 1000:" [1] 0.9860495 [1] "Iteration 435 of 1000:" [1] 0.9879195 [1] "Iteration 436 of 1000:" [1] 0.9860726 [1] "Iteration 437 of 1000:" [1] 0.9852183 [1] "Iteration 438 of 1000:" [1] 0.9857199 [1] "Iteration 439 of 1000:" [1] 0.9857206 [1] "Iteration 440 of 1000:" [1] 0.9848803 [1] "Iteration 441 of 1000:" [1] 0.9885328 [1] "Iteration 442 of 1000:" [1] 0.9883658 [1] "Iteration 443 of 1000:" [1] 0.9875189 [1] "Iteration 444 of 1000:" [1] 0.9878229 [1] "Iteration 445 of 1000:" [1] 0.9869634 [1] "Iteration 446 of 1000:" [1] 0.9875275 [1] "Iteration 447 of 1000:" [1] 0.9850979 [1] "Iteration 448 of 1000:" [1] 0.9885321 [1] "Iteration 449 of 1000:" [1] 0.9882984 [1] "Iteration 450 of 1000:" [1] 0.9846873 [1] "Iteration 451 of 1000:" [1] 0.985246 [1] "Iteration 452 of 1000:" [1] 0.9830121 [1] "Iteration 453 of 1000:" [1] 0.9866937 [1] "Iteration 454 of 1000:" [1] 0.9884729 [1] "Iteration 455 of 1000:" [1] 0.9877383 [1] "Iteration 456 of 1000:" [1] 0.9877022 [1] "Iteration 457 of 1000:" [1] 0.9877812 [1] "Iteration 458 of 1000:" [1] 0.9869213 [1] "Iteration 459 of 1000:" [1] 0.9864877 [1] "Iteration 460 of 1000:" [1] 0.986804 [1] "Iteration 461 of 1000:" [1] 0.9860238 [1] "Iteration 462 of 1000:" [1] 0.9858686 [1] "Iteration 463 of 1000:" [1] 0.9878119 [1] "Iteration 464 of 1000:" [1] 0.9877587 [1] "Iteration 465 of 1000:" [1] 0.9848864 [1] "Iteration 466 of 1000:" [1] 0.9863176 [1] "Iteration 467 of 1000:" [1] 0.9856363 [1] "Iteration 468 of 1000:" [1] 0.9859821 [1] "Iteration 469 of 1000:" [1] 0.9855974 [1] "Iteration 470 of 1000:" [1] 0.9872533 [1] "Iteration 471 of 1000:" [1] 0.988653 [1] "Iteration 472 of 1000:" [1] 0.9857678 [1] "Iteration 473 of 1000:" [1] 0.9879061 [1] "Iteration 474 of 1000:" [1] 0.986938 [1] "Iteration 475 of 1000:" [1] 0.9852267 [1] "Iteration 476 of 1000:" [1] 0.9893965 [1] "Iteration 477 of 1000:" [1] 0.9853454 [1] "Iteration 478 of 1000:" [1] 0.9874601 [1] "Iteration 479 of 1000:" [1] 0.9872806 [1] "Iteration 480 of 1000:" [1] 0.9872109 [1] "Iteration 481 of 1000:" [1] 0.9854591 [1] "Iteration 482 of 1000:" [1] 0.9871168 [1] "Iteration 483 of 1000:" [1] 0.9848742 [1] "Iteration 484 of 1000:" [1] 0.9858377 [1] "Iteration 485 of 1000:" [1] 0.9869212 [1] "Iteration 486 of 1000:" [1] 0.9888456 [1] "Iteration 487 of 1000:" [1] 0.9864668 [1] "Iteration 488 of 1000:" [1] 0.9846938 [1] "Iteration 489 of 1000:" [1] 0.986918 [1] "Iteration 490 of 1000:" [1] 0.9871539 [1] "Iteration 491 of 1000:" [1] 0.986064 [1] "Iteration 492 of 1000:" [1] 0.985478 [1] "Iteration 493 of 1000:" [1] 0.9865059 [1] "Iteration 494 of 1000:" [1] 0.9877342 [1] "Iteration 495 of 1000:" [1] 0.9862765 [1] "Iteration 496 of 1000:" [1] 0.9875175 [1] "Iteration 497 of 1000:" [1] 0.985099 [1] "Iteration 498 of 1000:" [1] 0.9848501 [1] "Iteration 499 of 1000:" [1] 0.9873793 [1] "Iteration 500 of 1000:" [1] 0.9883481 [1] "Iteration 501 of 1000:" [1] 0.9875266 [1] "Iteration 502 of 1000:" [1] 0.9877575 [1] "Iteration 503 of 1000:" [1] 0.9854532 [1] "Iteration 504 of 1000:" [1] 0.9856095 [1] "Iteration 505 of 1000:" [1] 0.9879228 [1] "Iteration 506 of 1000:" [1] 0.987904 [1] "Iteration 507 of 1000:" [1] 0.9871894 [1] "Iteration 508 of 1000:" [1] 0.9855893 [1] "Iteration 509 of 1000:" [1] 0.9873848 [1] "Iteration 510 of 1000:" [1] 0.9857399 [1] "Iteration 511 of 1000:" [1] 0.9871876 [1] "Iteration 512 of 1000:" [1] 0.9873494 [1] "Iteration 513 of 1000:" [1] 0.9879231 [1] "Iteration 514 of 1000:" [1] 0.9844021 [1] "Iteration 515 of 1000:" [1] 0.9854247 [1] "Iteration 516 of 1000:" [1] 0.9883577 [1] "Iteration 517 of 1000:" [1] 0.9892432 [1] "Iteration 518 of 1000:" [1] 0.9849132 [1] "Iteration 519 of 1000:" [1] 0.9857981 [1] "Iteration 520 of 1000:" [1] 0.9863134 [1] "Iteration 521 of 1000:" [1] 0.9852454 [1] "Iteration 522 of 1000:" [1] 0.9855367 [1] "Iteration 523 of 1000:" [1] 0.9876461 [1] "Iteration 524 of 1000:" [1] 0.987404 [1] "Iteration 525 of 1000:" [1] 0.9880862 [1] "Iteration 526 of 1000:" [1] 0.9843178 [1] "Iteration 527 of 1000:" [1] 0.9853409 [1] "Iteration 528 of 1000:" [1] 0.9870637 [1] "Iteration 529 of 1000:" [1] 0.9876369 [1] "Iteration 530 of 1000:" [1] 0.9873395 [1] "Iteration 531 of 1000:" [1] 0.9874474 [1] "Iteration 532 of 1000:" [1] 0.9888335 [1] "Iteration 533 of 1000:" [1] 0.9885519 [1] "Iteration 534 of 1000:" [1] 0.9849336 [1] "Iteration 535 of 1000:" [1] 0.9848637 [1] "Iteration 536 of 1000:" [1] 0.9850046 [1] "Iteration 537 of 1000:" [1] 0.9855 [1] "Iteration 538 of 1000:" [1] 0.9877757 [1] "Iteration 539 of 1000:" [1] 0.9865286 [1] "Iteration 540 of 1000:" [1] 0.985037 [1] "Iteration 541 of 1000:" [1] 0.9876925 [1] "Iteration 542 of 1000:" [1] 0.9857111 [1] "Iteration 543 of 1000:" [1] 0.9887379 [1] "Iteration 544 of 1000:" [1] 0.9856487 [1] "Iteration 545 of 1000:" [1] 0.9877107 [1] "Iteration 546 of 1000:" [1] 0.9879743 [1] "Iteration 547 of 1000:" [1] 0.984755 [1] "Iteration 548 of 1000:" [1] 0.9846794 [1] "Iteration 549 of 1000:" [1] 0.9855407 [1] "Iteration 550 of 1000:" [1] 0.9843549 [1] "Iteration 551 of 1000:" [1] 0.9877115 [1] "Iteration 552 of 1000:" [1] 0.9857991 [1] "Iteration 553 of 1000:" [1] 0.9858686 [1] "Iteration 554 of 1000:" [1] 0.987937 [1] "Iteration 555 of 1000:" [1] 0.9884591 [1] "Iteration 556 of 1000:" [1] 0.9891726 [1] "Iteration 557 of 1000:" [1] 0.9852456 [1] "Iteration 558 of 1000:" [1] 0.9863408 [1] "Iteration 559 of 1000:" [1] 0.9879142 [1] "Iteration 560 of 1000:" [1] 0.9861761 [1] "Iteration 561 of 1000:" [1] 0.9863443 [1] "Iteration 562 of 1000:" [1] 0.9854866 [1] "Iteration 563 of 1000:" [1] 0.9873771 [1] "Iteration 564 of 1000:" [1] 0.9857416 [1] "Iteration 565 of 1000:" [1] 0.9882629 [1] "Iteration 566 of 1000:" [1] 0.9869639 [1] "Iteration 567 of 1000:" [1] 0.9853574 [1] "Iteration 568 of 1000:" [1] 0.9857197 [1] "Iteration 569 of 1000:" [1] 0.9859074 [1] "Iteration 570 of 1000:" [1] 0.9857784 [1] "Iteration 571 of 1000:" [1] 0.9860895 [1] "Iteration 572 of 1000:" [1] 0.9874026 [1] "Iteration 573 of 1000:" [1] 0.9874462 [1] "Iteration 574 of 1000:" [1] 0.9878141 [1] "Iteration 575 of 1000:" [1] 0.9873831 [1] "Iteration 576 of 1000:" [1] 0.9853814 [1] "Iteration 577 of 1000:" [1] 0.9876646 [1] "Iteration 578 of 1000:" [1] 0.9852226 [1] "Iteration 579 of 1000:" [1] 0.9855674 [1] "Iteration 580 of 1000:" [1] 0.9869013 [1] "Iteration 581 of 1000:" [1] 0.9858102 [1] "Iteration 582 of 1000:" [1] 0.9874203 [1] "Iteration 583 of 1000:" [1] 0.9865625 [1] "Iteration 584 of 1000:" [1] 0.9873676 [1] "Iteration 585 of 1000:" [1] 0.9864533 [1] "Iteration 586 of 1000:" [1] 0.9849892 [1] "Iteration 587 of 1000:" [1] 0.9862351 [1] "Iteration 588 of 1000:" [1] 0.9856211 [1] "Iteration 589 of 1000:" [1] 0.9851162 [1] "Iteration 590 of 1000:" [1] 0.9880109 [1] "Iteration 591 of 1000:" [1] 0.9881797 [1] "Iteration 592 of 1000:" [1] 0.9863827 [1] "Iteration 593 of 1000:" [1] 0.9852926 [1] "Iteration 594 of 1000:" [1] 0.9861293 [1] "Iteration 595 of 1000:" [1] 0.9881625 [1] "Iteration 596 of 1000:" [1] 0.9858047 [1] "Iteration 597 of 1000:" [1] 0.9879433 [1] "Iteration 598 of 1000:" [1] 0.9853164 [1] "Iteration 599 of 1000:" [1] 0.9878019 [1] "Iteration 600 of 1000:" [1] 0.9874219 [1] "Iteration 601 of 1000:" [1] 0.9852454 [1] "Iteration 602 of 1000:" [1] 0.9878962 [1] "Iteration 603 of 1000:" [1] 0.9880544 [1] "Iteration 604 of 1000:" [1] 0.9862818 [1] "Iteration 605 of 1000:" [1] 0.9875487 [1] "Iteration 606 of 1000:" [1] 0.9857198 [1] "Iteration 607 of 1000:" [1] 0.9854302 [1] "Iteration 608 of 1000:" [1] 0.9867277 [1] "Iteration 609 of 1000:" [1] 0.9858946 [1] "Iteration 610 of 1000:" [1] 0.987326 [1] "Iteration 611 of 1000:" [1] 0.9877932 [1] "Iteration 612 of 1000:" [1] 0.9858717 [1] "Iteration 613 of 1000:" [1] 0.9870633 [1] "Iteration 614 of 1000:" [1] 0.9874061 [1] "Iteration 615 of 1000:" [1] 0.9860898 [1] "Iteration 616 of 1000:" [1] 0.9874158 [1] "Iteration 617 of 1000:" [1] 0.9871085 [1] "Iteration 618 of 1000:" [1] 0.9883268 [1] "Iteration 619 of 1000:" [1] 0.9856911 [1] "Iteration 620 of 1000:" [1] 0.9876733 [1] "Iteration 621 of 1000:" [1] 0.9878531 [1] "Iteration 622 of 1000:" [1] 0.986899 [1] "Iteration 623 of 1000:" [1] 0.9854947 [1] "Iteration 624 of 1000:" [1] 0.9876607 [1] "Iteration 625 of 1000:" [1] 0.9866249 [1] "Iteration 626 of 1000:" [1] 0.9810899 [1] "Iteration 627 of 1000:" [1] 0.9856599 [1] "Iteration 628 of 1000:" [1] 0.9861467 [1] "Iteration 629 of 1000:" [1] 0.9851381 [1] "Iteration 630 of 1000:" [1] 0.9878816 [1] "Iteration 631 of 1000:" [1] 0.9874143 [1] "Iteration 632 of 1000:" [1] 0.9876415 [1] "Iteration 633 of 1000:" [1] 0.9871686 [1] "Iteration 634 of 1000:" [1] 0.9877389 [1] "Iteration 635 of 1000:" [1] 0.9857411 [1] "Iteration 636 of 1000:" [1] 0.9852897 [1] "Iteration 637 of 1000:" [1] 0.9850942 [1] "Iteration 638 of 1000:" [1] 0.987629 [1] "Iteration 639 of 1000:" [1] 0.9858907 [1] "Iteration 640 of 1000:" [1] 0.9848729 [1] "Iteration 641 of 1000:" [1] 0.9852836 [1] "Iteration 642 of 1000:" [1] 0.9872125 [1] "Iteration 643 of 1000:" [1] 0.9873038 [1] "Iteration 644 of 1000:" [1] 0.9892133 [1] "Iteration 645 of 1000:" [1] 0.9872341 [1] "Iteration 646 of 1000:" [1] 0.9851541 [1] "Iteration 647 of 1000:" [1] 0.9878197 [1] "Iteration 648 of 1000:" [1] 0.986173 [1] "Iteration 649 of 1000:" [1] 0.986433 [1] "Iteration 650 of 1000:" [1] 0.9881346 [1] "Iteration 651 of 1000:" [1] 0.9885516 [1] "Iteration 652 of 1000:" [1] 0.9886826 [1] "Iteration 653 of 1000:" [1] 0.9858092 [1] "Iteration 654 of 1000:" [1] 0.9855951 [1] "Iteration 655 of 1000:" [1] 0.9875176 [1] "Iteration 656 of 1000:" [1] 0.9865328 [1] "Iteration 657 of 1000:" [1] 0.9855041 [1] "Iteration 658 of 1000:" [1] 0.9875408 [1] "Iteration 659 of 1000:" [1] 0.9854073 [1] "Iteration 660 of 1000:" [1] 0.987397 [1] "Iteration 661 of 1000:" [1] 0.9852893 [1] "Iteration 662 of 1000:" [1] 0.9876205 [1] "Iteration 663 of 1000:" [1] 0.987344 [1] "Iteration 664 of 1000:" [1] 0.9855488 [1] "Iteration 665 of 1000:" [1] 0.9877877 [1] "Iteration 666 of 1000:" [1] 0.9862189 [1] "Iteration 667 of 1000:" [1] 0.9885648 [1] "Iteration 668 of 1000:" [1] 0.9852438 [1] "Iteration 669 of 1000:" [1] 0.985498 [1] "Iteration 670 of 1000:" [1] 0.988665 [1] "Iteration 671 of 1000:" [1] 0.9881157 [1] "Iteration 672 of 1000:" [1] 0.9863844 [1] "Iteration 673 of 1000:" [1] 0.9864875 [1] "Iteration 674 of 1000:" [1] 0.9870091 [1] "Iteration 675 of 1000:" [1] 0.9873318 [1] "Iteration 676 of 1000:" [1] 0.9871732 [1] "Iteration 677 of 1000:" [1] 0.9854351 [1] "Iteration 678 of 1000:" [1] 0.9869958 [1] "Iteration 679 of 1000:" [1] 0.985331 [1] "Iteration 680 of 1000:" [1] 0.9869402 [1] "Iteration 681 of 1000:" [1] 0.9872848 [1] "Iteration 682 of 1000:" [1] 0.9846794 [1] "Iteration 683 of 1000:" [1] 0.9864803 [1] "Iteration 684 of 1000:" [1] 0.9877219 [1] "Iteration 685 of 1000:" [1] 0.9872478 [1] "Iteration 686 of 1000:" [1] 0.9882138 [1] "Iteration 687 of 1000:" [1] 0.9871964 [1] "Iteration 688 of 1000:" [1] 0.9858232 [1] "Iteration 689 of 1000:" [1] 0.987844 [1] "Iteration 690 of 1000:" [1] 0.9870349 [1] "Iteration 691 of 1000:" [1] 0.9892355 [1] "Iteration 692 of 1000:" [1] 0.9878922 [1] "Iteration 693 of 1000:" [1] 0.9871774 [1] "Iteration 694 of 1000:" [1] 0.9853918 [1] "Iteration 695 of 1000:" [1] 0.9861174 [1] "Iteration 696 of 1000:" [1] 0.988483 [1] "Iteration 697 of 1000:" [1] 0.988191 [1] "Iteration 698 of 1000:" [1] 0.9866734 [1] "Iteration 699 of 1000:" [1] 0.9844838 [1] "Iteration 700 of 1000:" [1] 0.9872796 [1] "Iteration 701 of 1000:" [1] 0.9877162 [1] "Iteration 702 of 1000:" [1] 0.9857047 [1] "Iteration 703 of 1000:" [1] 0.9867059 [1] "Iteration 704 of 1000:" [1] 0.9880961 [1] "Iteration 705 of 1000:" [1] 0.9854762 [1] "Iteration 706 of 1000:" [1] 0.9879628 [1] "Iteration 707 of 1000:" [1] 0.9858532 [1] "Iteration 708 of 1000:" [1] 0.9881097 [1] "Iteration 709 of 1000:" [1] 0.9862613 [1] "Iteration 710 of 1000:" [1] 0.9858671 [1] "Iteration 711 of 1000:" [1] 0.9855769 [1] "Iteration 712 of 1000:" [1] 0.9853754 [1] "Iteration 713 of 1000:" [1] 0.9877885 [1] "Iteration 714 of 1000:" [1] 0.9862927 [1] "Iteration 715 of 1000:" [1] 0.9857214 [1] "Iteration 716 of 1000:" [1] 0.985176 [1] "Iteration 717 of 1000:" [1] 0.9877567 [1] "Iteration 718 of 1000:" [1] 0.987258 [1] "Iteration 719 of 1000:" [1] 0.988776 [1] "Iteration 720 of 1000:" [1] 0.9875268 [1] "Iteration 721 of 1000:" [1] 0.9853432 [1] "Iteration 722 of 1000:" [1] 0.9871137 [1] "Iteration 723 of 1000:" [1] 0.9864891 [1] "Iteration 724 of 1000:" [1] 0.9848114 [1] "Iteration 725 of 1000:" [1] 0.9882205 [1] "Iteration 726 of 1000:" [1] 0.9878192 [1] "Iteration 727 of 1000:" [1] 0.9868382 [1] "Iteration 728 of 1000:" [1] 0.9864025 [1] "Iteration 729 of 1000:" [1] 0.9893122 [1] "Iteration 730 of 1000:" [1] 0.9871667 [1] "Iteration 731 of 1000:" [1] 0.9886695 [1] "Iteration 732 of 1000:" [1] 0.988211 [1] "Iteration 733 of 1000:" [1] 0.9883832 [1] "Iteration 734 of 1000:" [1] 0.9871205 [1] "Iteration 735 of 1000:" [1] 0.9881623 [1] "Iteration 736 of 1000:" [1] 0.985072 [1] "Iteration 737 of 1000:" [1] 0.9859811 [1] "Iteration 738 of 1000:" [1] 0.9871037 [1] "Iteration 739 of 1000:" [1] 0.98555 [1] "Iteration 740 of 1000:" [1] 0.9878462 [1] "Iteration 741 of 1000:" [1] 0.9867448 [1] "Iteration 742 of 1000:" [1] 0.9870179 [1] "Iteration 743 of 1000:" [1] 0.9861762 [1] "Iteration 744 of 1000:" [1] 0.9856617 [1] "Iteration 745 of 1000:" [1] 0.9849437 [1] "Iteration 746 of 1000:" [1] 0.9854099 [1] "Iteration 747 of 1000:" [1] 0.9856334 [1] "Iteration 748 of 1000:" [1] 0.9852523 [1] "Iteration 749 of 1000:" [1] 0.9839173 [1] "Iteration 750 of 1000:" [1] 0.9868786 [1] "Iteration 751 of 1000:" [1] 0.9877953 [1] "Iteration 752 of 1000:" [1] 0.9854486 [1] "Iteration 753 of 1000:" [1] 0.985006 [1] "Iteration 754 of 1000:" [1] 0.9873494 [1] "Iteration 755 of 1000:" [1] 0.9887384 [1] "Iteration 756 of 1000:" [1] 0.9851649 [1] "Iteration 757 of 1000:" [1] 0.9807883 [1] "Iteration 758 of 1000:" [1] 0.9874293 [1] "Iteration 759 of 1000:" [1] 0.9875785 [1] "Iteration 760 of 1000:" [1] 0.9874343 [1] "Iteration 761 of 1000:" [1] 0.9880305 [1] "Iteration 762 of 1000:" [1] 0.9859541 [1] "Iteration 763 of 1000:" [1] 0.9877794 [1] "Iteration 764 of 1000:" [1] 0.9848304 [1] "Iteration 765 of 1000:" [1] 0.9862187 [1] "Iteration 766 of 1000:" [1] 0.9879917 [1] "Iteration 767 of 1000:" [1] 0.9870644 [1] "Iteration 768 of 1000:" [1] 0.9872077 [1] "Iteration 769 of 1000:" [1] 0.9871368 [1] "Iteration 770 of 1000:" [1] 0.9861556 [1] "Iteration 771 of 1000:" [1] 0.9852294 [1] "Iteration 772 of 1000:" [1] 0.9855218 [1] "Iteration 773 of 1000:" [1] 0.987639 [1] "Iteration 774 of 1000:" [1] 0.98739 [1] "Iteration 775 of 1000:" [1] 0.9842778 [1] "Iteration 776 of 1000:" [1] 0.9860472 [1] "Iteration 777 of 1000:" [1] 0.9881402 [1] "Iteration 778 of 1000:" [1] 0.9887039 [1] "Iteration 779 of 1000:" [1] 0.9856513 [1] "Iteration 780 of 1000:" [1] 0.9859487 [1] "Iteration 781 of 1000:" [1] 0.986072 [1] "Iteration 782 of 1000:" [1] 0.9867177 [1] "Iteration 783 of 1000:" [1] 0.9853254 [1] "Iteration 784 of 1000:" [1] 0.9859138 [1] "Iteration 785 of 1000:" [1] 0.9857695 [1] "Iteration 786 of 1000:" [1] 0.9875564 [1] "Iteration 787 of 1000:" [1] 0.9856742 [1] "Iteration 788 of 1000:" [1] 0.9853623 [1] "Iteration 789 of 1000:" [1] 0.985781 [1] "Iteration 790 of 1000:" [1] 0.9859617 [1] "Iteration 791 of 1000:" [1] 0.9853839 [1] "Iteration 792 of 1000:" [1] 0.9852176 [1] "Iteration 793 of 1000:" [1] 0.9854472 [1] "Iteration 794 of 1000:" [1] 0.9880212 [1] "Iteration 795 of 1000:" [1] 0.9880365 [1] "Iteration 796 of 1000:" [1] 0.9871088 [1] "Iteration 797 of 1000:" [1] 0.9870713 [1] "Iteration 798 of 1000:" [1] 0.9850939 [1] "Iteration 799 of 1000:" [1] 0.9856188 [1] "Iteration 800 of 1000:" [1] 0.9881676 [1] "Iteration 801 of 1000:" [1] 0.9846853 [1] "Iteration 802 of 1000:" [1] 0.98772 [1] "Iteration 803 of 1000:" [1] 0.9856852 [1] "Iteration 804 of 1000:" [1] 0.9878475 [1] "Iteration 805 of 1000:" [1] 0.9872875 [1] "Iteration 806 of 1000:" [1] 0.987343 [1] "Iteration 807 of 1000:" [1] 0.9878155 [1] "Iteration 808 of 1000:" [1] 0.9861185 [1] "Iteration 809 of 1000:" [1] 0.9876827 [1] "Iteration 810 of 1000:" [1] 0.9842497 [1] "Iteration 811 of 1000:" [1] 0.988757 [1] "Iteration 812 of 1000:" [1] 0.9893149 [1] "Iteration 813 of 1000:" [1] 0.9855093 [1] "Iteration 814 of 1000:" [1] 0.9853905 [1] "Iteration 815 of 1000:" [1] 0.9858015 [1] "Iteration 816 of 1000:" [1] 0.9882502 [1] "Iteration 817 of 1000:" [1] 0.9878259 [1] "Iteration 818 of 1000:" [1] 0.9860854 [1] "Iteration 819 of 1000:" [1] 0.9860145 [1] "Iteration 820 of 1000:" [1] 0.9867265 [1] "Iteration 821 of 1000:" [1] 0.9864961 [1] "Iteration 822 of 1000:" [1] 0.9881404 [1] "Iteration 823 of 1000:" [1] 0.9874587 [1] "Iteration 824 of 1000:" [1] 0.9874509 [1] "Iteration 825 of 1000:" [1] 0.9844703 [1] "Iteration 826 of 1000:" [1] 0.9862916 [1] "Iteration 827 of 1000:" [1] 0.9874448 [1] "Iteration 828 of 1000:" [1] 0.9866476 [1] "Iteration 829 of 1000:" [1] 0.9842335 [1] "Iteration 830 of 1000:" [1] 0.9861375 [1] "Iteration 831 of 1000:" [1] 0.9851258 [1] "Iteration 832 of 1000:" [1] 0.9857448 [1] "Iteration 833 of 1000:" [1] 0.9860844 [1] "Iteration 834 of 1000:" [1] 0.987253 [1] "Iteration 835 of 1000:" [1] 0.9880776 [1] "Iteration 836 of 1000:" [1] 0.9848881 [1] "Iteration 837 of 1000:" [1] 0.9878516 [1] "Iteration 838 of 1000:" [1] 0.9855203 [1] "Iteration 839 of 1000:" [1] 0.984464 [1] "Iteration 840 of 1000:" [1] 0.9862673 [1] "Iteration 841 of 1000:" [1] 0.9866374 [1] "Iteration 842 of 1000:" [1] 0.9884399 [1] "Iteration 843 of 1000:" [1] 0.9870359 [1] "Iteration 844 of 1000:" [1] 0.9878074 [1] "Iteration 845 of 1000:" [1] 0.985879 [1] "Iteration 846 of 1000:" [1] 0.9861679 [1] "Iteration 847 of 1000:" [1] 0.9881184 [1] "Iteration 848 of 1000:" [1] 0.9857891 [1] "Iteration 849 of 1000:" [1] 0.9855337 [1] "Iteration 850 of 1000:" [1] 0.9878839 [1] "Iteration 851 of 1000:" [1] 0.9880965 [1] "Iteration 852 of 1000:" [1] 0.9870619 [1] "Iteration 853 of 1000:" [1] 0.9853474 [1] "Iteration 854 of 1000:" [1] 0.9862044 [1] "Iteration 855 of 1000:" [1] 0.9858811 [1] "Iteration 856 of 1000:" [1] 0.9874967 [1] "Iteration 857 of 1000:" [1] 0.9877863 [1] "Iteration 858 of 1000:" [1] 0.9857541 [1] "Iteration 859 of 1000:" [1] 0.9879958 [1] "Iteration 860 of 1000:" [1] 0.9877757 [1] "Iteration 861 of 1000:" [1] 0.9855237 [1] "Iteration 862 of 1000:" [1] 0.9869871 [1] "Iteration 863 of 1000:" [1] 0.9852266 [1] "Iteration 864 of 1000:" [1] 0.9867009 [1] "Iteration 865 of 1000:" [1] 0.9849423 [1] "Iteration 866 of 1000:" [1] 0.9844886 [1] "Iteration 867 of 1000:" [1] 0.985025 [1] "Iteration 868 of 1000:" [1] 0.986324 [1] "Iteration 869 of 1000:" [1] 0.984009 [1] "Iteration 870 of 1000:" [1] 0.9860054 [1] "Iteration 871 of 1000:" [1] 0.9861216 [1] "Iteration 872 of 1000:" [1] 0.9858939 [1] "Iteration 873 of 1000:" [1] 0.9881032 [1] "Iteration 874 of 1000:" [1] 0.988486 [1] "Iteration 875 of 1000:" [1] 0.9850919 [1] "Iteration 876 of 1000:" [1] 0.9859884 [1] "Iteration 877 of 1000:" [1] 0.9881053 [1] "Iteration 878 of 1000:" [1] 0.9880681 [1] "Iteration 879 of 1000:" [1] 0.9852594 [1] "Iteration 880 of 1000:" [1] 0.9845023 [1] "Iteration 881 of 1000:" [1] 0.9867381 [1] "Iteration 882 of 1000:" [1] 0.9883713 [1] "Iteration 883 of 1000:" [1] 0.9877323 [1] "Iteration 884 of 1000:" [1] 0.9850699 [1] "Iteration 885 of 1000:" [1] 0.9873854 [1] "Iteration 886 of 1000:" [1] 0.9871536 [1] "Iteration 887 of 1000:" [1] 0.9838437 [1] "Iteration 888 of 1000:" [1] 0.9876336 [1] "Iteration 889 of 1000:" [1] 0.9882901 [1] "Iteration 890 of 1000:" [1] 0.9878564 [1] "Iteration 891 of 1000:" [1] 0.9848823 [1] "Iteration 892 of 1000:" [1] 0.9883094 [1] "Iteration 893 of 1000:" [1] 0.9874363 [1] "Iteration 894 of 1000:" [1] 0.9852795 [1] "Iteration 895 of 1000:" [1] 0.9856317 [1] "Iteration 896 of 1000:" [1] 0.9870886 [1] "Iteration 897 of 1000:" [1] 0.9890207 [1] "Iteration 898 of 1000:" [1] 0.9871815 [1] "Iteration 899 of 1000:" [1] 0.9853305 [1] "Iteration 900 of 1000:" [1] 0.9855819 [1] "Iteration 901 of 1000:" [1] 0.9858071 [1] "Iteration 902 of 1000:" [1] 0.9881221 [1] "Iteration 903 of 1000:" [1] 0.9855948 [1] "Iteration 904 of 1000:" [1] 0.9869206 [1] "Iteration 905 of 1000:" [1] 0.9880057 [1] "Iteration 906 of 1000:" [1] 0.9867688 [1] "Iteration 907 of 1000:" [1] 0.9875643 [1] "Iteration 908 of 1000:" [1] 0.986433 [1] "Iteration 909 of 1000:" [1] 0.986632 [1] "Iteration 910 of 1000:" [1] 0.9881986 [1] "Iteration 911 of 1000:" [1] 0.9862009 [1] "Iteration 912 of 1000:" [1] 0.9850003 [1] "Iteration 913 of 1000:" [1] 0.9880311 [1] "Iteration 914 of 1000:" [1] 0.9854389 [1] "Iteration 915 of 1000:" [1] 0.9855649 [1] "Iteration 916 of 1000:" [1] 0.9854726 [1] "Iteration 917 of 1000:" [1] 0.9851535 [1] "Iteration 918 of 1000:" [1] 0.986593 [1] "Iteration 919 of 1000:" [1] 0.9859752 [1] "Iteration 920 of 1000:" [1] 0.9882889 [1] "Iteration 921 of 1000:" [1] 0.9851749 [1] "Iteration 922 of 1000:" [1] 0.9872981 [1] "Iteration 923 of 1000:" [1] 0.9852032 [1] "Iteration 924 of 1000:" [1] 0.9882205 [1] "Iteration 925 of 1000:" [1] 0.9878816 [1] "Iteration 926 of 1000:" [1] 0.9880874 [1] "Iteration 927 of 1000:" [1] 0.985803 [1] "Iteration 928 of 1000:" [1] 0.9886998 [1] "Iteration 929 of 1000:" [1] 0.9857547 [1] "Iteration 930 of 1000:" [1] 0.9890998 [1] "Iteration 931 of 1000:" [1] 0.9856862 [1] "Iteration 932 of 1000:" [1] 0.9863175 [1] "Iteration 933 of 1000:" [1] 0.9845701 [1] "Iteration 934 of 1000:" [1] 0.985502 [1] "Iteration 935 of 1000:" [1] 0.9865501 [1] "Iteration 936 of 1000:" [1] 0.9876958 [1] "Iteration 937 of 1000:" [1] 0.9889244 [1] "Iteration 938 of 1000:" [1] 0.9881855 [1] "Iteration 939 of 1000:" [1] 0.9852126 [1] "Iteration 940 of 1000:" [1] 0.9878492 [1] "Iteration 941 of 1000:" [1] 0.9857174 [1] "Iteration 942 of 1000:" [1] 0.988118 [1] "Iteration 943 of 1000:" [1] 0.9869004 [1] "Iteration 944 of 1000:" [1] 0.9855062 [1] "Iteration 945 of 1000:" [1] 0.9887976 [1] "Iteration 946 of 1000:" [1] 0.9866943 [1] "Iteration 947 of 1000:" [1] 0.986485 [1] "Iteration 948 of 1000:" [1] 0.9866567 [1] "Iteration 949 of 1000:" [1] 0.9892775 [1] "Iteration 950 of 1000:" [1] 0.9889385 [1] "Iteration 951 of 1000:" [1] 0.9878628 [1] "Iteration 952 of 1000:" [1] 0.9845678 [1] "Iteration 953 of 1000:" [1] 0.9860836 [1] "Iteration 954 of 1000:" [1] 0.9875743 [1] "Iteration 955 of 1000:" [1] 0.9885747 [1] "Iteration 956 of 1000:" [1] 0.9881694 [1] "Iteration 957 of 1000:" [1] 0.9878757 [1] "Iteration 958 of 1000:" [1] 0.988038 [1] "Iteration 959 of 1000:" [1] 0.9877097 [1] "Iteration 960 of 1000:" [1] 0.9862228 [1] "Iteration 961 of 1000:" [1] 0.9847099 [1] "Iteration 962 of 1000:" [1] 0.988035 [1] "Iteration 963 of 1000:" [1] 0.9851689 [1] "Iteration 964 of 1000:" [1] 0.987989 [1] "Iteration 965 of 1000:" [1] 0.9868206 [1] "Iteration 966 of 1000:" [1] 0.9858355 [1] "Iteration 967 of 1000:" [1] 0.9865404 [1] "Iteration 968 of 1000:" [1] 0.9855182 [1] "Iteration 969 of 1000:" [1] 0.9857804 [1] "Iteration 970 of 1000:" [1] 0.9855959 [1] "Iteration 971 of 1000:" [1] 0.9869572 [1] "Iteration 972 of 1000:" [1] 0.988012 [1] "Iteration 973 of 1000:" [1] 0.9844077 [1] "Iteration 974 of 1000:" [1] 0.9854308 [1] "Iteration 975 of 1000:" [1] 0.9878531 [1] "Iteration 976 of 1000:" [1] 0.9876629 [1] "Iteration 977 of 1000:" [1] 0.9856879 [1] "Iteration 978 of 1000:" [1] 0.9872624 [1] "Iteration 979 of 1000:" [1] 0.9877394 [1] "Iteration 980 of 1000:" [1] 0.9856585 [1] "Iteration 981 of 1000:" [1] 0.9848044 [1] "Iteration 982 of 1000:" [1] 0.9859242 [1] "Iteration 983 of 1000:" [1] 0.9863378 [1] "Iteration 984 of 1000:" [1] 0.9847647 [1] "Iteration 985 of 1000:" [1] 0.985041 [1] "Iteration 986 of 1000:" [1] 0.9855315 [1] "Iteration 987 of 1000:" [1] 0.9866576 [1] "Iteration 988 of 1000:" [1] 0.9858604 [1] "Iteration 989 of 1000:" [1] 0.9859042 [1] "Iteration 990 of 1000:" [1] 0.9853529 [1] "Iteration 991 of 1000:" [1] 0.9855606 [1] "Iteration 992 of 1000:" [1] 0.9865688 [1] "Iteration 993 of 1000:" [1] 0.9873271 [1] "Iteration 994 of 1000:" [1] 0.98837 [1] "Iteration 995 of 1000:" [1] 0.9857369 [1] "Iteration 996 of 1000:" [1] 0.9879504 [1] "Iteration 997 of 1000:" [1] 0.9854203 [1] "Iteration 998 of 1000:" [1] 0.9858393 [1] "Iteration 999 of 1000:" [1] 0.9871927 [1] "Iteration 1000 of 1000:" [1] 0.9874818 [1] "Iteration 1 of 1000:" [1] 0.5171031 [1] "Iteration 2 of 1000:" [1] 0.5115645 [1] "Iteration 3 of 1000:" [1] 0.4751172 [1] "Iteration 4 of 1000:" [1] 0.5239602 [1] "Iteration 5 of 1000:" [1] 0.5172532 [1] "Iteration 6 of 1000:" [1] 0.528976 [1] "Iteration 7 of 1000:" [1] 0.5245822 [1] "Iteration 8 of 1000:" [1] 0.5376883 [1] "Iteration 9 of 1000:" [1] 0.5309307 [1] "Iteration 10 of 1000:" [1] 0.5335444 [1] "Iteration 11 of 1000:" [1] 0.5655044 [1] "Iteration 12 of 1000:" [1] 0.5429901 [1] "Iteration 13 of 1000:" [1] 0.5086272 [1] "Iteration 14 of 1000:" [1] 0.541814 [1] "Iteration 15 of 1000:" [1] 0.5323975 [1] "Iteration 16 of 1000:" [1] 0.5065522 [1] "Iteration 17 of 1000:" [1] 0.5186545 [1] "Iteration 18 of 1000:" [1] 0.5520392 [1] "Iteration 19 of 1000:" [1] 0.5128658 [1] "Iteration 20 of 1000:" [1] 0.4902693 [1] "Iteration 21 of 1000:" [1] 0.5300542 [1] "Iteration 22 of 1000:" [1] 0.5239059 [1] "Iteration 23 of 1000:" [1] 0.5482981 [1] "Iteration 24 of 1000:" [1] 0.4700844 [1] "Iteration 25 of 1000:" [1] 0.5257165 [1] "Iteration 26 of 1000:" [1] 0.5503584 [1] "Iteration 27 of 1000:" [1] 0.5221046 [1] "Iteration 28 of 1000:" [1] 0.5311803 [1] "Iteration 29 of 1000:" [1] 0.5230986 [1] "Iteration 30 of 1000:" [1] 0.5653122 [1] "Iteration 31 of 1000:" [1] 0.5414772 [1] "Iteration 32 of 1000:" [1] 0.5375099 [1] "Iteration 33 of 1000:" [1] 0.5267816 [1] "Iteration 34 of 1000:" [1] 0.5665705 [1] "Iteration 35 of 1000:" [1] 0.550214 [1] "Iteration 36 of 1000:" [1] 0.5154293 [1] "Iteration 37 of 1000:" [1] 0.5352536 [1] "Iteration 38 of 1000:" [1] 0.5185439 [1] "Iteration 39 of 1000:" [1] 0.5271935 [1] "Iteration 40 of 1000:" [1] 0.5006133 [1] "Iteration 41 of 1000:" [1] 0.5717402 [1] "Iteration 42 of 1000:" [1] 0.5430543 [1] "Iteration 43 of 1000:" [1] 0.5259919 [1] "Iteration 44 of 1000:" [1] 0.5158155 [1] "Iteration 45 of 1000:" [1] 0.5008776 [1] "Iteration 46 of 1000:" [1] 0.4984144 [1] "Iteration 47 of 1000:" [1] 0.4771122 [1] "Iteration 48 of 1000:" [1] 0.5105444 [1] "Iteration 49 of 1000:" [1] 0.5402712 [1] "Iteration 50 of 1000:" [1] 0.5141563 [1] "Iteration 51 of 1000:" [1] 0.5659476 [1] "Iteration 52 of 1000:" [1] 0.4933214 [1] "Iteration 53 of 1000:" [1] 0.5245305 [1] "Iteration 54 of 1000:" [1] 0.5141177 [1] "Iteration 55 of 1000:" [1] 0.543367 [1] "Iteration 56 of 1000:" [1] 0.4997128 [1] "Iteration 57 of 1000:" [1] 0.5188759 [1] "Iteration 58 of 1000:" [1] 0.5079532 [1] "Iteration 59 of 1000:" [1] 0.5199824 [1] "Iteration 60 of 1000:" [1] 0.5498157 [1] "Iteration 61 of 1000:" [1] 0.5337919 [1] "Iteration 62 of 1000:" [1] 0.5460732 [1] "Iteration 63 of 1000:" [1] 0.5338785 [1] "Iteration 64 of 1000:" [1] 0.5083729 [1] "Iteration 65 of 1000:" [1] 0.5066369 [1] "Iteration 66 of 1000:" [1] 0.5151347 [1] "Iteration 67 of 1000:" [1] 0.519138 [1] "Iteration 68 of 1000:" [1] 0.5441639 [1] "Iteration 69 of 1000:" [1] 0.5359545 [1] "Iteration 70 of 1000:" [1] 0.5124966 [1] "Iteration 71 of 1000:" [1] 0.5413525 [1] "Iteration 72 of 1000:" [1] 0.5543496 [1] "Iteration 73 of 1000:" [1] 0.5295299 [1] "Iteration 74 of 1000:" [1] 0.5331953 [1] "Iteration 75 of 1000:" [1] 0.5419545 [1] "Iteration 76 of 1000:" [1] 0.5556298 [1] "Iteration 77 of 1000:" [1] 0.4897922 [1] "Iteration 78 of 1000:" [1] 0.5414291 [1] "Iteration 79 of 1000:" [1] 0.5252232 [1] "Iteration 80 of 1000:" [1] 0.5246515 [1] "Iteration 81 of 1000:" [1] 0.5729575 [1] "Iteration 82 of 1000:" [1] 0.5066591 [1] "Iteration 83 of 1000:" [1] 0.5067338 [1] "Iteration 84 of 1000:" [1] 0.5727263 [1] "Iteration 85 of 1000:" [1] 0.51763 [1] "Iteration 86 of 1000:" [1] 0.5301697 [1] "Iteration 87 of 1000:" [1] 0.5218056 [1] "Iteration 88 of 1000:" [1] 0.5714536 [1] "Iteration 89 of 1000:" [1] 0.5238282 [1] "Iteration 90 of 1000:" [1] 0.5471594 [1] "Iteration 91 of 1000:" [1] 0.5277569 [1] "Iteration 92 of 1000:" [1] 0.5351973 [1] "Iteration 93 of 1000:" [1] 0.5206733 [1] "Iteration 94 of 1000:" [1] 0.5053502 [1] "Iteration 95 of 1000:" [1] 0.4967016 [1] "Iteration 96 of 1000:" [1] 0.4943945 [1] "Iteration 97 of 1000:" [1] 0.4844755 [1] "Iteration 98 of 1000:" [1] 0.5050245 [1] "Iteration 99 of 1000:" [1] 0.5149014 [1] "Iteration 100 of 1000:" [1] 0.5486077 [1] "Iteration 101 of 1000:" [1] 0.5340396 [1] "Iteration 102 of 1000:" [1] 0.5540916 [1] "Iteration 103 of 1000:" [1] 0.5711771 [1] "Iteration 104 of 1000:" [1] 0.548642 [1] "Iteration 105 of 1000:" [1] 0.4970085 [1] "Iteration 106 of 1000:" [1] 0.5029635 [1] "Iteration 107 of 1000:" [1] 0.5384145 [1] "Iteration 108 of 1000:" [1] 0.4810868 [1] "Iteration 109 of 1000:" [1] 0.5092788 [1] "Iteration 110 of 1000:" [1] 0.5336477 [1] "Iteration 111 of 1000:" [1] 0.5577534 [1] "Iteration 112 of 1000:" [1] 0.5357291 [1] "Iteration 113 of 1000:" [1] 0.5330841 [1] "Iteration 114 of 1000:" [1] 0.4894841 [1] "Iteration 115 of 1000:" [1] 0.5062789 [1] "Iteration 116 of 1000:" [1] 0.5607791 [1] "Iteration 117 of 1000:" [1] 0.5381164 [1] "Iteration 118 of 1000:" [1] 0.5715532 [1] "Iteration 119 of 1000:" [1] 0.5056433 [1] "Iteration 120 of 1000:" [1] 0.5232943 [1] "Iteration 121 of 1000:" [1] 0.5067899 [1] "Iteration 122 of 1000:" [1] 0.5389939 [1] "Iteration 123 of 1000:" [1] 0.507024 [1] "Iteration 124 of 1000:" [1] 0.4788662 [1] "Iteration 125 of 1000:" [1] 0.5194968 [1] "Iteration 126 of 1000:" [1] 0.4942695 [1] "Iteration 127 of 1000:" [1] 0.54631 [1] "Iteration 128 of 1000:" [1] 0.5279661 [1] "Iteration 129 of 1000:" [1] 0.5317128 [1] "Iteration 130 of 1000:" [1] 0.5246036 [1] "Iteration 131 of 1000:" [1] 0.5297313 [1] "Iteration 132 of 1000:" [1] 0.5074526 [1] "Iteration 133 of 1000:" [1] 0.5220705 [1] "Iteration 134 of 1000:" [1] 0.4997394 [1] "Iteration 135 of 1000:" [1] 0.5252182 [1] "Iteration 136 of 1000:" [1] 0.5335972 [1] "Iteration 137 of 1000:" [1] 0.5046652 [1] "Iteration 138 of 1000:" [1] 0.5327134 [1] "Iteration 139 of 1000:" [1] 0.5740934 [1] "Iteration 140 of 1000:" [1] 0.4922036 [1] "Iteration 141 of 1000:" [1] 0.5371451 [1] "Iteration 142 of 1000:" [1] 0.5519861 [1] "Iteration 143 of 1000:" [1] 0.5236255 [1] "Iteration 144 of 1000:" [1] 0.5399625 [1] "Iteration 145 of 1000:" [1] 0.5506236 [1] "Iteration 146 of 1000:" [1] 0.5523605 [1] "Iteration 147 of 1000:" [1] 0.5152593 [1] "Iteration 148 of 1000:" [1] 0.5107221 [1] "Iteration 149 of 1000:" [1] 0.5556714 [1] "Iteration 150 of 1000:" [1] 0.5159135 [1] "Iteration 151 of 1000:" [1] 0.4898067 [1] "Iteration 152 of 1000:" [1] 0.5809483 [1] "Iteration 153 of 1000:" [1] 0.5086315 [1] "Iteration 154 of 1000:" [1] 0.5390052 [1] "Iteration 155 of 1000:" [1] 0.5558787 [1] "Iteration 156 of 1000:" [1] 0.5047956 [1] "Iteration 157 of 1000:" [1] 0.5135078 [1] "Iteration 158 of 1000:" [1] 0.5279612 [1] "Iteration 159 of 1000:" [1] 0.5095928 [1] "Iteration 160 of 1000:" [1] 0.5309391 [1] "Iteration 161 of 1000:" [1] 0.5427176 [1] "Iteration 162 of 1000:" [1] 0.5189157 [1] "Iteration 163 of 1000:" [1] 0.5299449 [1] "Iteration 164 of 1000:" [1] 0.5241893 [1] "Iteration 165 of 1000:" [1] 0.4861179 [1] "Iteration 166 of 1000:" [1] 0.5163585 [1] "Iteration 167 of 1000:" [1] 0.5169391 [1] "Iteration 168 of 1000:" [1] 0.5426155 [1] "Iteration 169 of 1000:" [1] 0.5344548 [1] "Iteration 170 of 1000:" [1] 0.5432685 [1] "Iteration 171 of 1000:" [1] 0.4859959 [1] "Iteration 172 of 1000:" [1] 0.5411174 [1] "Iteration 173 of 1000:" [1] 0.5444831 [1] "Iteration 174 of 1000:" [1] 0.5544367 [1] "Iteration 175 of 1000:" [1] 0.5557946 [1] "Iteration 176 of 1000:" [1] 0.5454453 [1] "Iteration 177 of 1000:" [1] 0.5191655 [1] "Iteration 178 of 1000:" [1] 0.5403386 [1] "Iteration 179 of 1000:" [1] 0.5266006 [1] "Iteration 180 of 1000:" [1] 0.556175 [1] "Iteration 181 of 1000:" [1] 0.5728319 [1] "Iteration 182 of 1000:" [1] 0.4964255 [1] "Iteration 183 of 1000:" [1] 0.5209502 [1] "Iteration 184 of 1000:" [1] 0.5131436 [1] "Iteration 185 of 1000:" [1] 0.5513667 [1] "Iteration 186 of 1000:" [1] 0.5337443 [1] "Iteration 187 of 1000:" [1] 0.5362684 [1] "Iteration 188 of 1000:" [1] 0.4754392 [1] "Iteration 189 of 1000:" [1] 0.5221139 [1] "Iteration 190 of 1000:" [1] 0.5133301 [1] "Iteration 191 of 1000:" [1] 0.5231916 [1] "Iteration 192 of 1000:" [1] 0.5350848 [1] "Iteration 193 of 1000:" [1] 0.5214748 [1] "Iteration 194 of 1000:" [1] 0.5110891 [1] "Iteration 195 of 1000:" [1] 0.5228186 [1] "Iteration 196 of 1000:" [1] 0.5366824 [1] "Iteration 197 of 1000:" [1] 0.4910519 [1] "Iteration 198 of 1000:" [1] 0.4991529 [1] "Iteration 199 of 1000:" [1] 0.5694157 [1] "Iteration 200 of 1000:" [1] 0.5449073 [1] "Iteration 201 of 1000:" [1] 0.5282128 [1] "Iteration 202 of 1000:" [1] 0.5404224 [1] "Iteration 203 of 1000:" [1] 0.5024318 [1] "Iteration 204 of 1000:" [1] 0.5184874 [1] "Iteration 205 of 1000:" [1] 0.5006725 [1] "Iteration 206 of 1000:" [1] 0.5129705 [1] "Iteration 207 of 1000:" [1] 0.5351729 [1] "Iteration 208 of 1000:" [1] 0.5514354 [1] "Iteration 209 of 1000:" [1] 0.5128908 [1] "Iteration 210 of 1000:" [1] 0.5178059 [1] "Iteration 211 of 1000:" [1] 0.5105771 [1] "Iteration 212 of 1000:" [1] 0.5614262 [1] "Iteration 213 of 1000:" [1] 0.5419787 [1] "Iteration 214 of 1000:" [1] 0.5444795 [1] "Iteration 215 of 1000:" [1] 0.4905349 [1] "Iteration 216 of 1000:" [1] 0.4996941 [1] "Iteration 217 of 1000:" [1] 0.5127674 [1] "Iteration 218 of 1000:" [1] 0.5113428 [1] "Iteration 219 of 1000:" [1] 0.5452952 [1] "Iteration 220 of 1000:" [1] 0.5741144 [1] "Iteration 221 of 1000:" [1] 0.5487121 [1] "Iteration 222 of 1000:" [1] 0.5638929 [1] "Iteration 223 of 1000:" [1] 0.5228062 [1] "Iteration 224 of 1000:" [1] 0.5252404 [1] "Iteration 225 of 1000:" [1] 0.5150541 [1] "Iteration 226 of 1000:" [1] 0.5059268 [1] "Iteration 227 of 1000:" [1] 0.4946781 [1] "Iteration 228 of 1000:" [1] 0.5398232 [1] "Iteration 229 of 1000:" [1] 0.5520659 [1] "Iteration 230 of 1000:" [1] 0.4929887 [1] "Iteration 231 of 1000:" [1] 0.5060398 [1] "Iteration 232 of 1000:" [1] 0.517518 [1] "Iteration 233 of 1000:" [1] 0.5384241 [1] "Iteration 234 of 1000:" [1] 0.5758551 [1] "Iteration 235 of 1000:" [1] 0.5498933 [1] "Iteration 236 of 1000:" [1] 0.5330505 [1] "Iteration 237 of 1000:" [1] 0.5125545 [1] "Iteration 238 of 1000:" [1] 0.5114846 [1] "Iteration 239 of 1000:" [1] 0.5254427 [1] "Iteration 240 of 1000:" [1] 0.5108836 [1] "Iteration 241 of 1000:" [1] 0.5223654 [1] "Iteration 242 of 1000:" [1] 0.519968 [1] "Iteration 243 of 1000:" [1] 0.5434657 [1] "Iteration 244 of 1000:" [1] 0.5277672 [1] "Iteration 245 of 1000:" [1] 0.5400619 [1] "Iteration 246 of 1000:" [1] 0.502561 [1] "Iteration 247 of 1000:" [1] 0.5092402 [1] "Iteration 248 of 1000:" [1] 0.5530148 [1] "Iteration 249 of 1000:" [1] 0.5394013 [1] "Iteration 250 of 1000:" [1] 0.481238 [1] "Iteration 251 of 1000:" [1] 0.4967849 [1] "Iteration 252 of 1000:" [1] 0.5724553 [1] "Iteration 253 of 1000:" [1] 0.5229161 [1] "Iteration 254 of 1000:" [1] 0.514096 [1] "Iteration 255 of 1000:" [1] 0.5261022 [1] "Iteration 256 of 1000:" [1] 0.5293416 [1] "Iteration 257 of 1000:" [1] 0.5582197 [1] "Iteration 258 of 1000:" [1] 0.5503622 [1] "Iteration 259 of 1000:" [1] 0.5417506 [1] "Iteration 260 of 1000:" [1] 0.5067023 [1] "Iteration 261 of 1000:" [1] 0.5088473 [1] "Iteration 262 of 1000:" [1] 0.5364405 [1] "Iteration 263 of 1000:" [1] 0.5518186 [1] "Iteration 264 of 1000:" [1] 0.5473642 [1] "Iteration 265 of 1000:" [1] 0.5891144 [1] "Iteration 266 of 1000:" [1] 0.5575374 [1] "Iteration 267 of 1000:" [1] 0.4601488 [1] "Iteration 268 of 1000:" [1] 0.4939647 [1] "Iteration 269 of 1000:" [1] 0.5458216 [1] "Iteration 270 of 1000:" [1] 0.5014314 [1] "Iteration 271 of 1000:" [1] 0.5325278 [1] "Iteration 272 of 1000:" [1] 0.5545011 [1] "Iteration 273 of 1000:" [1] 0.5182802 [1] "Iteration 274 of 1000:" [1] 0.4833592 [1] "Iteration 275 of 1000:" [1] 0.5495105 [1] "Iteration 276 of 1000:" [1] 0.5213864 [1] "Iteration 277 of 1000:" [1] 0.5047072 [1] "Iteration 278 of 1000:" [1] 0.5261082 [1] "Iteration 279 of 1000:" [1] 0.5289117 [1] "Iteration 280 of 1000:" [1] 0.5050456 [1] "Iteration 281 of 1000:" [1] 0.516047 [1] "Iteration 282 of 1000:" [1] 0.5431655 [1] "Iteration 283 of 1000:" [1] 0.5073171 [1] "Iteration 284 of 1000:" [1] 0.510982 [1] "Iteration 285 of 1000:" [1] 0.55483 [1] "Iteration 286 of 1000:" [1] 0.4743876 [1] "Iteration 287 of 1000:" [1] 0.5377748 [1] "Iteration 288 of 1000:" [1] 0.5197492 [1] "Iteration 289 of 1000:" [1] 0.5342046 [1] "Iteration 290 of 1000:" [1] 0.5248982 [1] "Iteration 291 of 1000:" [1] 0.542597 [1] "Iteration 292 of 1000:" [1] 0.4854419 [1] "Iteration 293 of 1000:" [1] 0.4928684 [1] "Iteration 294 of 1000:" [1] 0.5201452 [1] "Iteration 295 of 1000:" [1] 0.5243297 [1] "Iteration 296 of 1000:" [1] 0.5210898 [1] "Iteration 297 of 1000:" [1] 0.5248935 [1] "Iteration 298 of 1000:" [1] 0.4804285 [1] "Iteration 299 of 1000:" [1] 0.5811503 [1] "Iteration 300 of 1000:" [1] 0.5600562 [1] "Iteration 301 of 1000:" [1] 0.504791 [1] "Iteration 302 of 1000:" [1] 0.5016004 [1] "Iteration 303 of 1000:" [1] 0.5673411 [1] "Iteration 304 of 1000:" [1] 0.5448476 [1] "Iteration 305 of 1000:" [1] 0.5022663 [1] "Iteration 306 of 1000:" [1] 0.5288244 [1] "Iteration 307 of 1000:" [1] 0.5463271 [1] "Iteration 308 of 1000:" [1] 0.5230371 [1] "Iteration 309 of 1000:" [1] 0.5487436 [1] "Iteration 310 of 1000:" [1] 0.5153747 [1] "Iteration 311 of 1000:" [1] 0.5266365 [1] "Iteration 312 of 1000:" [1] 0.5248858 [1] "Iteration 313 of 1000:" [1] 0.5349363 [1] "Iteration 314 of 1000:" [1] 0.5013732 [1] "Iteration 315 of 1000:" [1] 0.5540911 [1] "Iteration 316 of 1000:" [1] 0.5319434 [1] "Iteration 317 of 1000:" [1] 0.582082 [1] "Iteration 318 of 1000:" [1] 0.4964048 [1] "Iteration 319 of 1000:" [1] 0.4969802 [1] "Iteration 320 of 1000:" [1] 0.5258388 [1] "Iteration 321 of 1000:" [1] 0.5361683 [1] "Iteration 322 of 1000:" [1] 0.5072387 [1] "Iteration 323 of 1000:" [1] 0.5028701 [1] "Iteration 324 of 1000:" [1] 0.5020687 [1] "Iteration 325 of 1000:" [1] 0.5446356 [1] "Iteration 326 of 1000:" [1] 0.5268139 [1] "Iteration 327 of 1000:" [1] 0.5554978 [1] "Iteration 328 of 1000:" [1] 0.514567 [1] "Iteration 329 of 1000:" [1] 0.5237556 [1] "Iteration 330 of 1000:" [1] 0.4994123 [1] "Iteration 331 of 1000:" [1] 0.5472106 [1] "Iteration 332 of 1000:" [1] 0.5542583 [1] "Iteration 333 of 1000:" [1] 0.572325 [1] "Iteration 334 of 1000:" [1] 0.546774 [1] "Iteration 335 of 1000:" [1] 0.5211685 [1] "Iteration 336 of 1000:" [1] 0.5262732 [1] "Iteration 337 of 1000:" [1] 0.5381483 [1] "Iteration 338 of 1000:" [1] 0.5117153 [1] "Iteration 339 of 1000:" [1] 0.5191446 [1] "Iteration 340 of 1000:" [1] 0.5105227 [1] "Iteration 341 of 1000:" [1] 0.5244981 [1] "Iteration 342 of 1000:" [1] 0.5192356 [1] "Iteration 343 of 1000:" [1] 0.5472748 [1] "Iteration 344 of 1000:" [1] 0.4917732 [1] "Iteration 345 of 1000:" [1] 0.4893042 [1] "Iteration 346 of 1000:" [1] 0.5184934 [1] "Iteration 347 of 1000:" [1] 0.5275715 [1] "Iteration 348 of 1000:" [1] 0.5096762 [1] "Iteration 349 of 1000:" [1] 0.5027868 [1] "Iteration 350 of 1000:" [1] 0.517169 [1] "Iteration 351 of 1000:" [1] 0.5598251 [1] "Iteration 352 of 1000:" [1] 0.5222299 [1] "Iteration 353 of 1000:" [1] 0.5067338 [1] "Iteration 354 of 1000:" [1] 0.5051206 [1] "Iteration 355 of 1000:" [1] 0.506727 [1] "Iteration 356 of 1000:" [1] 0.5057001 [1] "Iteration 357 of 1000:" [1] 0.5565857 [1] "Iteration 358 of 1000:" [1] 0.553663 [1] "Iteration 359 of 1000:" [1] 0.5115004 [1] "Iteration 360 of 1000:" [1] 0.4935819 [1] "Iteration 361 of 1000:" [1] 0.5212388 [1] "Iteration 362 of 1000:" [1] 0.4858847 [1] "Iteration 363 of 1000:" [1] 0.4888067 [1] "Iteration 364 of 1000:" [1] 0.4944012 [1] "Iteration 365 of 1000:" [1] 0.501179 [1] "Iteration 366 of 1000:" [1] 0.5117444 [1] "Iteration 367 of 1000:" [1] 0.5448132 [1] "Iteration 368 of 1000:" [1] 0.4762672 [1] "Iteration 369 of 1000:" [1] 0.5057242 [1] "Iteration 370 of 1000:" [1] 0.5066547 [1] "Iteration 371 of 1000:" [1] 0.5310705 [1] "Iteration 372 of 1000:" [1] 0.5331685 [1] "Iteration 373 of 1000:" [1] 0.5075781 [1] "Iteration 374 of 1000:" [1] 0.5441352 [1] "Iteration 375 of 1000:" [1] 0.5692056 [1] "Iteration 376 of 1000:" [1] 0.5268063 [1] "Iteration 377 of 1000:" [1] 0.4994276 [1] "Iteration 378 of 1000:" [1] 0.5336162 [1] "Iteration 379 of 1000:" [1] 0.5352329 [1] "Iteration 380 of 1000:" [1] 0.5400619 [1] "Iteration 381 of 1000:" [1] 0.5438371 [1] "Iteration 382 of 1000:" [1] 0.5494694 [1] "Iteration 383 of 1000:" [1] 0.523262 [1] "Iteration 384 of 1000:" [1] 0.5262333 [1] "Iteration 385 of 1000:" [1] 0.4862781 [1] "Iteration 386 of 1000:" [1] 0.5124823 [1] "Iteration 387 of 1000:" [1] 0.528451 [1] "Iteration 388 of 1000:" [1] 0.518457 [1] "Iteration 389 of 1000:" [1] 0.5307451 [1] "Iteration 390 of 1000:" [1] 0.5302174 [1] "Iteration 391 of 1000:" [1] 0.5051169 [1] "Iteration 392 of 1000:" [1] 0.5127215 [1] "Iteration 393 of 1000:" [1] 0.5190296 [1] "Iteration 394 of 1000:" [1] 0.5064729 [1] "Iteration 395 of 1000:" [1] 0.4918439 [1] "Iteration 396 of 1000:" [1] 0.5604785 [1] "Iteration 397 of 1000:" [1] 0.5425938 [1] "Iteration 398 of 1000:" [1] 0.5420911 [1] "Iteration 399 of 1000:" [1] 0.5448928 [1] "Iteration 400 of 1000:" [1] 0.5737376 [1] "Iteration 401 of 1000:" [1] 0.5274673 [1] "Iteration 402 of 1000:" [1] 0.5432586 [1] "Iteration 403 of 1000:" [1] 0.5354184 [1] "Iteration 404 of 1000:" [1] 0.5116134 [1] "Iteration 405 of 1000:" [1] 0.5254457 [1] "Iteration 406 of 1000:" [1] 0.56282 [1] "Iteration 407 of 1000:" [1] 0.4981848 [1] "Iteration 408 of 1000:" [1] 0.5302626 [1] "Iteration 409 of 1000:" [1] 0.4872123 [1] "Iteration 410 of 1000:" [1] 0.5551335 [1] "Iteration 411 of 1000:" [1] 0.5120871 [1] "Iteration 412 of 1000:" [1] 0.5162736 [1] "Iteration 413 of 1000:" [1] 0.5132612 [1] "Iteration 414 of 1000:" [1] 0.5520889 [1] "Iteration 415 of 1000:" [1] 0.5187158 [1] "Iteration 416 of 1000:" [1] 0.4986697 [1] "Iteration 417 of 1000:" [1] 0.5048111 [1] "Iteration 418 of 1000:" [1] 0.5636848 [1] "Iteration 419 of 1000:" [1] 0.5142909 [1] "Iteration 420 of 1000:" [1] 0.5028836 [1] "Iteration 421 of 1000:" [1] 0.5457548 [1] "Iteration 422 of 1000:" [1] 0.5034167 [1] "Iteration 423 of 1000:" [1] 0.5389341 [1] "Iteration 424 of 1000:" [1] 0.4891261 [1] "Iteration 425 of 1000:" [1] 0.5134297 [1] "Iteration 426 of 1000:" [1] 0.5301682 [1] "Iteration 427 of 1000:" [1] 0.5596795 [1] "Iteration 428 of 1000:" [1] 0.5555275 [1] "Iteration 429 of 1000:" [1] 0.5381748 [1] "Iteration 430 of 1000:" [1] 0.5209956 [1] "Iteration 431 of 1000:" [1] 0.553235 [1] "Iteration 432 of 1000:" [1] 0.5105568 [1] "Iteration 433 of 1000:" [1] 0.5227681 [1] "Iteration 434 of 1000:" [1] 0.5470536 [1] "Iteration 435 of 1000:" [1] 0.5755875 [1] "Iteration 436 of 1000:" [1] 0.5025014 [1] "Iteration 437 of 1000:" [1] 0.5214714 [1] "Iteration 438 of 1000:" [1] 0.5029453 [1] "Iteration 439 of 1000:" [1] 0.4915289 [1] "Iteration 440 of 1000:" [1] 0.5241132 [1] "Iteration 441 of 1000:" [1] 0.529189 [1] "Iteration 442 of 1000:" [1] 0.5125092 [1] "Iteration 443 of 1000:" [1] 0.5730846 [1] "Iteration 444 of 1000:" [1] 0.5370541 [1] "Iteration 445 of 1000:" [1] 0.564821 [1] "Iteration 446 of 1000:" [1] 0.5078338 [1] "Iteration 447 of 1000:" [1] 0.5408609 [1] "Iteration 448 of 1000:" [1] 0.5332532 [1] "Iteration 449 of 1000:" [1] 0.5662906 [1] "Iteration 450 of 1000:" [1] 0.4855004 [1] "Iteration 451 of 1000:" [1] 0.5258118 [1] "Iteration 452 of 1000:" [1] 0.5370802 [1] "Iteration 453 of 1000:" [1] 0.5414444 [1] "Iteration 454 of 1000:" [1] 0.5102902 [1] "Iteration 455 of 1000:" [1] 0.51876 [1] "Iteration 456 of 1000:" [1] 0.5261165 [1] "Iteration 457 of 1000:" [1] 0.5414986 [1] "Iteration 458 of 1000:" [1] 0.5296867 [1] "Iteration 459 of 1000:" [1] 0.5456463 [1] "Iteration 460 of 1000:" [1] 0.5030433 [1] "Iteration 461 of 1000:" [1] 0.5502308 [1] "Iteration 462 of 1000:" [1] 0.5402128 [1] "Iteration 463 of 1000:" [1] 0.500204 [1] "Iteration 464 of 1000:" [1] 0.5671874 [1] "Iteration 465 of 1000:" [1] 0.5265968 [1] "Iteration 466 of 1000:" [1] 0.5653721 [1] "Iteration 467 of 1000:" [1] 0.4860024 [1] "Iteration 468 of 1000:" [1] 0.5001153 [1] "Iteration 469 of 1000:" [1] 0.5176826 [1] "Iteration 470 of 1000:" [1] 0.5038223 [1] "Iteration 471 of 1000:" [1] 0.5147181 [1] "Iteration 472 of 1000:" [1] 0.5074731 [1] "Iteration 473 of 1000:" [1] 0.5117439 [1] "Iteration 474 of 1000:" [1] 0.5293128 [1] "Iteration 475 of 1000:" [1] 0.5215843 [1] "Iteration 476 of 1000:" [1] 0.550853 [1] "Iteration 477 of 1000:" [1] 0.5410157 [1] "Iteration 478 of 1000:" [1] 0.5003853 [1] "Iteration 479 of 1000:" [1] 0.5286272 [1] "Iteration 480 of 1000:" [1] 0.5265098 [1] "Iteration 481 of 1000:" [1] 0.5351685 [1] "Iteration 482 of 1000:" [1] 0.4868229 [1] "Iteration 483 of 1000:" [1] 0.5150185 [1] "Iteration 484 of 1000:" [1] 0.542133 [1] "Iteration 485 of 1000:" [1] 0.5430561 [1] "Iteration 486 of 1000:" [1] 0.4843905 [1] "Iteration 487 of 1000:" [1] 0.5307942 [1] "Iteration 488 of 1000:" [1] 0.537761 [1] "Iteration 489 of 1000:" [1] 0.543603 [1] "Iteration 490 of 1000:" [1] 0.553237 [1] "Iteration 491 of 1000:" [1] 0.5321094 [1] "Iteration 492 of 1000:" [1] 0.527667 [1] "Iteration 493 of 1000:" [1] 0.5448214 [1] "Iteration 494 of 1000:" [1] 0.5095895 [1] "Iteration 495 of 1000:" [1] 0.5256676 [1] "Iteration 496 of 1000:" [1] 0.5117289 [1] "Iteration 497 of 1000:" [1] 0.4780854 [1] "Iteration 498 of 1000:" [1] 0.532576 [1] "Iteration 499 of 1000:" [1] 0.4958295 [1] "Iteration 500 of 1000:" [1] 0.5324178 [1] "Iteration 501 of 1000:" [1] 0.5138862 [1] "Iteration 502 of 1000:" [1] 0.5189738 [1] "Iteration 503 of 1000:" [1] 0.5430142 [1] "Iteration 504 of 1000:" [1] 0.5552793 [1] "Iteration 505 of 1000:" [1] 0.4876267 [1] "Iteration 506 of 1000:" [1] 0.5370916 [1] "Iteration 507 of 1000:" [1] 0.5523216 [1] "Iteration 508 of 1000:" [1] 0.5256747 [1] "Iteration 509 of 1000:" [1] 0.5264406 [1] "Iteration 510 of 1000:" [1] 0.5603487 [1] "Iteration 511 of 1000:" [1] 0.484872 [1] "Iteration 512 of 1000:" [1] 0.5322587 [1] "Iteration 513 of 1000:" [1] 0.4905096 [1] "Iteration 514 of 1000:" [1] 0.5457799 [1] "Iteration 515 of 1000:" [1] 0.517138 [1] "Iteration 516 of 1000:" [1] 0.498055 [1] "Iteration 517 of 1000:" [1] 0.510979 [1] "Iteration 518 of 1000:" [1] 0.5413707 [1] "Iteration 519 of 1000:" [1] 0.5234747 [1] "Iteration 520 of 1000:" [1] 0.5378488 [1] "Iteration 521 of 1000:" [1] 0.5363382 [1] "Iteration 522 of 1000:" [1] 0.5195629 [1] "Iteration 523 of 1000:" [1] 0.5737409 [1] "Iteration 524 of 1000:" [1] 0.5422001 [1] "Iteration 525 of 1000:" [1] 0.5955452 [1] "Iteration 526 of 1000:" [1] 0.5165584 [1] "Iteration 527 of 1000:" [1] 0.5098652 [1] "Iteration 528 of 1000:" [1] 0.5518471 [1] "Iteration 529 of 1000:" [1] 0.590363 [1] "Iteration 530 of 1000:" [1] 0.5173514 [1] "Iteration 531 of 1000:" [1] 0.5412227 [1] "Iteration 532 of 1000:" [1] 0.543353 [1] "Iteration 533 of 1000:" [1] 0.5094137 [1] "Iteration 534 of 1000:" [1] 0.5074689 [1] "Iteration 535 of 1000:" [1] 0.5274936 [1] "Iteration 536 of 1000:" [1] 0.5472129 [1] "Iteration 537 of 1000:" [1] 0.5339421 [1] "Iteration 538 of 1000:" [1] 0.4889706 [1] "Iteration 539 of 1000:" [1] 0.5184539 [1] "Iteration 540 of 1000:" [1] 0.5026091 [1] "Iteration 541 of 1000:" [1] 0.5549684 [1] "Iteration 542 of 1000:" [1] 0.5540134 [1] "Iteration 543 of 1000:" [1] 0.5436355 [1] "Iteration 544 of 1000:" [1] 0.5485074 [1] "Iteration 545 of 1000:" [1] 0.5502047 [1] "Iteration 546 of 1000:" [1] 0.5842581 [1] "Iteration 547 of 1000:" [1] 0.5328661 [1] "Iteration 548 of 1000:" [1] 0.5310651 [1] "Iteration 549 of 1000:" [1] 0.5251791 [1] "Iteration 550 of 1000:" [1] 0.5243422 [1] "Iteration 551 of 1000:" [1] 0.5217101 [1] "Iteration 552 of 1000:" [1] 0.4854989 [1] "Iteration 553 of 1000:" [1] 0.5225799 [1] "Iteration 554 of 1000:" [1] 0.5197334 [1] "Iteration 555 of 1000:" [1] 0.5205228 [1] "Iteration 556 of 1000:" [1] 0.4968349 [1] "Iteration 557 of 1000:" [1] 0.5258243 [1] "Iteration 558 of 1000:" [1] 0.5249394 [1] "Iteration 559 of 1000:" [1] 0.4930027 [1] "Iteration 560 of 1000:" [1] 0.5269227 [1] "Iteration 561 of 1000:" [1] 0.5514245 [1] "Iteration 562 of 1000:" [1] 0.5455312 [1] "Iteration 563 of 1000:" [1] 0.4998432 [1] "Iteration 564 of 1000:" [1] 0.527553 [1] "Iteration 565 of 1000:" [1] 0.4972201 [1] "Iteration 566 of 1000:" [1] 0.5047788 [1] "Iteration 567 of 1000:" [1] 0.4953454 [1] "Iteration 568 of 1000:" [1] 0.4939433 [1] "Iteration 569 of 1000:" [1] 0.5268238 [1] "Iteration 570 of 1000:" [1] 0.5297096 [1] "Iteration 571 of 1000:" [1] 0.4960048 [1] "Iteration 572 of 1000:" [1] 0.5319083 [1] "Iteration 573 of 1000:" [1] 0.4999413 [1] "Iteration 574 of 1000:" [1] 0.5312296 [1] "Iteration 575 of 1000:" [1] 0.5228855 [1] "Iteration 576 of 1000:" [1] 0.4929858 [1] "Iteration 577 of 1000:" [1] 0.5712505 [1] "Iteration 578 of 1000:" [1] 0.516978 [1] "Iteration 579 of 1000:" [1] 0.5622713 [1] "Iteration 580 of 1000:" [1] 0.5205167 [1] "Iteration 581 of 1000:" [1] 0.5283622 [1] "Iteration 582 of 1000:" [1] 0.5479775 [1] "Iteration 583 of 1000:" [1] 0.5277667 [1] "Iteration 584 of 1000:" [1] 0.5058578 [1] "Iteration 585 of 1000:" [1] 0.5300908 [1] "Iteration 586 of 1000:" [1] 0.5891333 [1] "Iteration 587 of 1000:" [1] 0.5112107 [1] "Iteration 588 of 1000:" [1] 0.523283 [1] "Iteration 589 of 1000:" [1] 0.5293513 [1] "Iteration 590 of 1000:" [1] 0.551884 [1] "Iteration 591 of 1000:" [1] 0.5672055 [1] "Iteration 592 of 1000:" [1] 0.5257917 [1] "Iteration 593 of 1000:" [1] 0.5453028 [1] "Iteration 594 of 1000:" [1] 0.5138409 [1] "Iteration 595 of 1000:" [1] 0.5020016 [1] "Iteration 596 of 1000:" [1] 0.5417774 [1] "Iteration 597 of 1000:" [1] 0.5589527 [1] "Iteration 598 of 1000:" [1] 0.5492994 [1] "Iteration 599 of 1000:" [1] 0.515569 [1] "Iteration 600 of 1000:" [1] 0.523785 [1] "Iteration 601 of 1000:" [1] 0.553675 [1] "Iteration 602 of 1000:" [1] 0.5645455 [1] "Iteration 603 of 1000:" [1] 0.5413659 [1] "Iteration 604 of 1000:" [1] 0.5564836 [1] "Iteration 605 of 1000:" [1] 0.5473179 [1] "Iteration 606 of 1000:" [1] 0.5060634 [1] "Iteration 607 of 1000:" [1] 0.5171856 [1] "Iteration 608 of 1000:" [1] 0.525976 [1] "Iteration 609 of 1000:" [1] 0.5472031 [1] "Iteration 610 of 1000:" [1] 0.5577264 [1] "Iteration 611 of 1000:" [1] 0.5081452 [1] "Iteration 612 of 1000:" [1] 0.5075513 [1] "Iteration 613 of 1000:" [1] 0.5438953 [1] "Iteration 614 of 1000:" [1] 0.5667298 [1] "Iteration 615 of 1000:" [1] 0.4843481 [1] "Iteration 616 of 1000:" [1] 0.5123426 [1] "Iteration 617 of 1000:" [1] 0.5183401 [1] "Iteration 618 of 1000:" [1] 0.5055054 [1] "Iteration 619 of 1000:" [1] 0.5239375 [1] "Iteration 620 of 1000:" [1] 0.5366439 [1] "Iteration 621 of 1000:" [1] 0.5552793 [1] "Iteration 622 of 1000:" [1] 0.5278403 [1] "Iteration 623 of 1000:" [1] 0.5458418 [1] "Iteration 624 of 1000:" [1] 0.4918484 [1] "Iteration 625 of 1000:" [1] 0.5166949 [1] "Iteration 626 of 1000:" [1] 0.5249894 [1] "Iteration 627 of 1000:" [1] 0.5207853 [1] "Iteration 628 of 1000:" [1] 0.5172669 [1] "Iteration 629 of 1000:" [1] 0.5262253 [1] "Iteration 630 of 1000:" [1] 0.5250763 [1] "Iteration 631 of 1000:" [1] 0.5211329 [1] "Iteration 632 of 1000:" [1] 0.5376296 [1] "Iteration 633 of 1000:" [1] 0.5290221 [1] "Iteration 634 of 1000:" [1] 0.5163131 [1] "Iteration 635 of 1000:" [1] 0.5157408 [1] "Iteration 636 of 1000:" [1] 0.5446437 [1] "Iteration 637 of 1000:" [1] 0.5411008 [1] "Iteration 638 of 1000:" [1] 0.5459713 [1] "Iteration 639 of 1000:" [1] 0.5212184 [1] "Iteration 640 of 1000:" [1] 0.4951477 [1] "Iteration 641 of 1000:" [1] 0.5201477 [1] "Iteration 642 of 1000:" [1] 0.5435166 [1] "Iteration 643 of 1000:" [1] 0.5523564 [1] "Iteration 644 of 1000:" [1] 0.5409603 [1] "Iteration 645 of 1000:" [1] 0.5473713 [1] "Iteration 646 of 1000:" [1] 0.5504674 [1] "Iteration 647 of 1000:" [1] 0.4937853 [1] "Iteration 648 of 1000:" [1] 0.5005825 [1] "Iteration 649 of 1000:" [1] 0.5402631 [1] "Iteration 650 of 1000:" [1] 0.5599179 [1] "Iteration 651 of 1000:" [1] 0.5585207 [1] "Iteration 652 of 1000:" [1] 0.5392274 [1] "Iteration 653 of 1000:" [1] 0.5391563 [1] "Iteration 654 of 1000:" [1] 0.5485032 [1] "Iteration 655 of 1000:" [1] 0.5335325 [1] "Iteration 656 of 1000:" [1] 0.5152962 [1] "Iteration 657 of 1000:" [1] 0.5458461 [1] "Iteration 658 of 1000:" [1] 0.4964593 [1] "Iteration 659 of 1000:" [1] 0.5634556 [1] "Iteration 660 of 1000:" [1] 0.5380412 [1] "Iteration 661 of 1000:" [1] 0.4969818 [1] "Iteration 662 of 1000:" [1] 0.5198705 [1] "Iteration 663 of 1000:" [1] 0.5385835 [1] "Iteration 664 of 1000:" [1] 0.5736201 [1] "Iteration 665 of 1000:" [1] 0.5472698 [1] "Iteration 666 of 1000:" [1] 0.5183917 [1] "Iteration 667 of 1000:" [1] 0.5244993 [1] "Iteration 668 of 1000:" [1] 0.5583908 [1] "Iteration 669 of 1000:" [1] 0.5172866 [1] "Iteration 670 of 1000:" [1] 0.5445528 [1] "Iteration 671 of 1000:" [1] 0.5582671 [1] "Iteration 672 of 1000:" [1] 0.5215711 [1] "Iteration 673 of 1000:" [1] 0.5114572 [1] "Iteration 674 of 1000:" [1] 0.5434261 [1] "Iteration 675 of 1000:" [1] 0.5185306 [1] "Iteration 676 of 1000:" [1] 0.5208314 [1] "Iteration 677 of 1000:" [1] 0.5224483 [1] "Iteration 678 of 1000:" [1] 0.5191497 [1] "Iteration 679 of 1000:" [1] 0.5232009 [1] "Iteration 680 of 1000:" [1] 0.5256591 [1] "Iteration 681 of 1000:" [1] 0.5603108 [1] "Iteration 682 of 1000:" [1] 0.4766198 [1] "Iteration 683 of 1000:" [1] 0.4876734 [1] "Iteration 684 of 1000:" [1] 0.5340342 [1] "Iteration 685 of 1000:" [1] 0.5201153 [1] "Iteration 686 of 1000:" [1] 0.5281838 [1] "Iteration 687 of 1000:" [1] 0.5388967 [1] "Iteration 688 of 1000:" [1] 0.4983843 [1] "Iteration 689 of 1000:" [1] 0.5118672 [1] "Iteration 690 of 1000:" [1] 0.4807103 [1] "Iteration 691 of 1000:" [1] 0.5269745 [1] "Iteration 692 of 1000:" [1] 0.5847224 [1] "Iteration 693 of 1000:" [1] 0.5467947 [1] "Iteration 694 of 1000:" [1] 0.5410957 [1] "Iteration 695 of 1000:" [1] 0.4824136 [1] "Iteration 696 of 1000:" [1] 0.536958 [1] "Iteration 697 of 1000:" [1] 0.5232084 [1] "Iteration 698 of 1000:" [1] 0.4693665 [1] "Iteration 699 of 1000:" [1] 0.54994 [1] "Iteration 700 of 1000:" [1] 0.5274339 [1] "Iteration 701 of 1000:" [1] 0.5578027 [1] "Iteration 702 of 1000:" [1] 0.5424483 [1] "Iteration 703 of 1000:" [1] 0.5123406 [1] "Iteration 704 of 1000:" [1] 0.5109443 [1] "Iteration 705 of 1000:" [1] 0.5376719 [1] "Iteration 706 of 1000:" [1] 0.5119269 [1] "Iteration 707 of 1000:" [1] 0.5587569 [1] "Iteration 708 of 1000:" [1] 0.4947286 [1] "Iteration 709 of 1000:" [1] 0.511128 [1] "Iteration 710 of 1000:" [1] 0.4963098 [1] "Iteration 711 of 1000:" [1] 0.4824052 [1] "Iteration 712 of 1000:" [1] 0.5495634 [1] "Iteration 713 of 1000:" [1] 0.4925325 [1] "Iteration 714 of 1000:" [1] 0.5472678 [1] "Iteration 715 of 1000:" [1] 0.5493529 [1] "Iteration 716 of 1000:" [1] 0.5072709 [1] "Iteration 717 of 1000:" [1] 0.5289949 [1] "Iteration 718 of 1000:" [1] 0.5039476 [1] "Iteration 719 of 1000:" [1] 0.5706604 [1] "Iteration 720 of 1000:" [1] 0.5509234 [1] "Iteration 721 of 1000:" [1] 0.5564285 [1] "Iteration 722 of 1000:" [1] 0.4908015 [1] "Iteration 723 of 1000:" [1] 0.5151005 [1] "Iteration 724 of 1000:" [1] 0.4999519 [1] "Iteration 725 of 1000:" [1] 0.5124091 [1] "Iteration 726 of 1000:" [1] 0.5174486 [1] "Iteration 727 of 1000:" [1] 0.5412415 [1] "Iteration 728 of 1000:" [1] 0.4606228 [1] "Iteration 729 of 1000:" [1] 0.5671531 [1] "Iteration 730 of 1000:" [1] 0.537274 [1] "Iteration 731 of 1000:" [1] 0.5418574 [1] "Iteration 732 of 1000:" [1] 0.5556271 [1] "Iteration 733 of 1000:" [1] 0.5422281 [1] "Iteration 734 of 1000:" [1] 0.4943544 [1] "Iteration 735 of 1000:" [1] 0.5332088 [1] "Iteration 736 of 1000:" [1] 0.5499076 [1] "Iteration 737 of 1000:" [1] 0.5009579 [1] "Iteration 738 of 1000:" [1] 0.5675011 [1] "Iteration 739 of 1000:" [1] 0.5248111 [1] "Iteration 740 of 1000:" [1] 0.5729493 [1] "Iteration 741 of 1000:" [1] 0.5364729 [1] "Iteration 742 of 1000:" [1] 0.5490149 [1] "Iteration 743 of 1000:" [1] 0.5336973 [1] "Iteration 744 of 1000:" [1] 0.5188728 [1] "Iteration 745 of 1000:" [1] 0.5380976 [1] "Iteration 746 of 1000:" [1] 0.5559174 [1] "Iteration 747 of 1000:" [1] 0.5564095 [1] "Iteration 748 of 1000:" [1] 0.5517015 [1] "Iteration 749 of 1000:" [1] 0.5101131 [1] "Iteration 750 of 1000:" [1] 0.4935841 [1] "Iteration 751 of 1000:" [1] 0.521676 [1] "Iteration 752 of 1000:" [1] 0.5109519 [1] "Iteration 753 of 1000:" [1] 0.5198272 [1] "Iteration 754 of 1000:" [1] 0.5494813 [1] "Iteration 755 of 1000:" [1] 0.5286432 [1] "Iteration 756 of 1000:" [1] 0.5331695 [1] "Iteration 757 of 1000:" [1] 0.5376163 [1] "Iteration 758 of 1000:" [1] 0.5318135 [1] "Iteration 759 of 1000:" [1] 0.4935245 [1] "Iteration 760 of 1000:" [1] 0.4939866 [1] "Iteration 761 of 1000:" [1] 0.5006246 [1] "Iteration 762 of 1000:" [1] 0.5443674 [1] "Iteration 763 of 1000:" [1] 0.5271118 [1] "Iteration 764 of 1000:" [1] 0.5495547 [1] "Iteration 765 of 1000:" [1] 0.5308392 [1] "Iteration 766 of 1000:" [1] 0.5228529 [1] "Iteration 767 of 1000:" [1] 0.5349809 [1] "Iteration 768 of 1000:" [1] 0.4824854 [1] "Iteration 769 of 1000:" [1] 0.5376831 [1] "Iteration 770 of 1000:" [1] 0.513501 [1] "Iteration 771 of 1000:" [1] 0.4773965 [1] "Iteration 772 of 1000:" [1] 0.5763452 [1] "Iteration 773 of 1000:" [1] 0.5676101 [1] "Iteration 774 of 1000:" [1] 0.5098615 [1] "Iteration 775 of 1000:" [1] 0.4727521 [1] "Iteration 776 of 1000:" [1] 0.5249729 [1] "Iteration 777 of 1000:" [1] 0.5592936 [1] "Iteration 778 of 1000:" [1] 0.5333502 [1] "Iteration 779 of 1000:" [1] 0.5157064 [1] "Iteration 780 of 1000:" [1] 0.4990318 [1] "Iteration 781 of 1000:" [1] 0.5344349 [1] "Iteration 782 of 1000:" [1] 0.5431413 [1] "Iteration 783 of 1000:" [1] 0.5679678 [1] "Iteration 784 of 1000:" [1] 0.545499 [1] "Iteration 785 of 1000:" [1] 0.4937339 [1] "Iteration 786 of 1000:" [1] 0.5137972 [1] "Iteration 787 of 1000:" [1] 0.5625462 [1] "Iteration 788 of 1000:" [1] 0.5220471 [1] "Iteration 789 of 1000:" [1] 0.5312464 [1] "Iteration 790 of 1000:" [1] 0.5256109 [1] "Iteration 791 of 1000:" [1] 0.5145753 [1] "Iteration 792 of 1000:" [1] 0.5416856 [1] "Iteration 793 of 1000:" [1] 0.5549158 [1] "Iteration 794 of 1000:" [1] 0.5533136 [1] "Iteration 795 of 1000:" [1] 0.5367792 [1] "Iteration 796 of 1000:" [1] 0.535141 [1] "Iteration 797 of 1000:" [1] 0.5196824 [1] "Iteration 798 of 1000:" [1] 0.5205766 [1] "Iteration 799 of 1000:" [1] 0.5564041 [1] "Iteration 800 of 1000:" [1] 0.5253868 [1] "Iteration 801 of 1000:" [1] 0.5467832 [1] "Iteration 802 of 1000:" [1] 0.5118085 [1] "Iteration 803 of 1000:" [1] 0.5196299 [1] "Iteration 804 of 1000:" [1] 0.5396915 [1] "Iteration 805 of 1000:" [1] 0.5339951 [1] "Iteration 806 of 1000:" [1] 0.4918013 [1] "Iteration 807 of 1000:" [1] 0.5232374 [1] "Iteration 808 of 1000:" [1] 0.5150756 [1] "Iteration 809 of 1000:" [1] 0.525279 [1] "Iteration 810 of 1000:" [1] 0.5434096 [1] "Iteration 811 of 1000:" [1] 0.4916916 [1] "Iteration 812 of 1000:" [1] 0.5519655 [1] "Iteration 813 of 1000:" [1] 0.5375744 [1] "Iteration 814 of 1000:" [1] 0.5043079 [1] "Iteration 815 of 1000:" [1] 0.5133408 [1] "Iteration 816 of 1000:" [1] 0.5133645 [1] "Iteration 817 of 1000:" [1] 0.5052157 [1] "Iteration 818 of 1000:" [1] 0.5388925 [1] "Iteration 819 of 1000:" [1] 0.5221245 [1] "Iteration 820 of 1000:" [1] 0.5507286 [1] "Iteration 821 of 1000:" [1] 0.5358006 [1] "Iteration 822 of 1000:" [1] 0.5113219 [1] "Iteration 823 of 1000:" [1] 0.5446175 [1] "Iteration 824 of 1000:" [1] 0.5045409 [1] "Iteration 825 of 1000:" [1] 0.4913727 [1] "Iteration 826 of 1000:" [1] 0.5051383 [1] "Iteration 827 of 1000:" [1] 0.5657341 [1] "Iteration 828 of 1000:" [1] 0.4851793 [1] "Iteration 829 of 1000:" [1] 0.5248201 [1] "Iteration 830 of 1000:" [1] 0.5730197 [1] "Iteration 831 of 1000:" [1] 0.4828557 [1] "Iteration 832 of 1000:" [1] 0.4954996 [1] "Iteration 833 of 1000:" [1] 0.552624 [1] "Iteration 834 of 1000:" [1] 0.5187584 [1] "Iteration 835 of 1000:" [1] 0.4587168 [1] "Iteration 836 of 1000:" [1] 0.5314076 [1] "Iteration 837 of 1000:" [1] 0.5227587 [1] "Iteration 838 of 1000:" [1] 0.4956197 [1] "Iteration 839 of 1000:" [1] 0.4918283 [1] "Iteration 840 of 1000:" [1] 0.5060348 [1] "Iteration 841 of 1000:" [1] 0.5309506 [1] "Iteration 842 of 1000:" [1] 0.529547 [1] "Iteration 843 of 1000:" [1] 0.5072463 [1] "Iteration 844 of 1000:" [1] 0.5605879 [1] "Iteration 845 of 1000:" [1] 0.5185329 [1] "Iteration 846 of 1000:" [1] 0.5527684 [1] "Iteration 847 of 1000:" [1] 0.5199618 [1] "Iteration 848 of 1000:" [1] 0.5047572 [1] "Iteration 849 of 1000:" [1] 0.5332817 [1] "Iteration 850 of 1000:" [1] 0.5391257 [1] "Iteration 851 of 1000:" [1] 0.5311662 [1] "Iteration 852 of 1000:" [1] 0.5238013 [1] "Iteration 853 of 1000:" [1] 0.511455 [1] "Iteration 854 of 1000:" [1] 0.5104332 [1] "Iteration 855 of 1000:" [1] 0.5408544 [1] "Iteration 856 of 1000:" [1] 0.5063288 [1] "Iteration 857 of 1000:" [1] 0.5150804 [1] "Iteration 858 of 1000:" [1] 0.5097654 [1] "Iteration 859 of 1000:" [1] 0.5500205 [1] "Iteration 860 of 1000:" [1] 0.4826864 [1] "Iteration 861 of 1000:" [1] 0.4988448 [1] "Iteration 862 of 1000:" [1] 0.5180535 [1] "Iteration 863 of 1000:" [1] 0.554551 [1] "Iteration 864 of 1000:" [1] 0.5332891 [1] "Iteration 865 of 1000:" [1] 0.5258731 [1] "Iteration 866 of 1000:" [1] 0.5245199 [1] "Iteration 867 of 1000:" [1] 0.4872915 [1] "Iteration 868 of 1000:" [1] 0.5646579 [1] "Iteration 869 of 1000:" [1] 0.5115726 [1] "Iteration 870 of 1000:" [1] 0.5173029 [1] "Iteration 871 of 1000:" [1] 0.5354662 [1] "Iteration 872 of 1000:" [1] 0.4884141 [1] "Iteration 873 of 1000:" [1] 0.4978389 [1] "Iteration 874 of 1000:" [1] 0.5114996 [1] "Iteration 875 of 1000:" [1] 0.500071 [1] "Iteration 876 of 1000:" [1] 0.5544759 [1] "Iteration 877 of 1000:" [1] 0.5250763 [1] "Iteration 878 of 1000:" [1] 0.5230633 [1] "Iteration 879 of 1000:" [1] 0.5059019 [1] "Iteration 880 of 1000:" [1] 0.5030459 [1] "Iteration 881 of 1000:" [1] 0.4798056 [1] "Iteration 882 of 1000:" [1] 0.5217512 [1] "Iteration 883 of 1000:" [1] 0.5414481 [1] "Iteration 884 of 1000:" [1] 0.5367656 [1] "Iteration 885 of 1000:" [1] 0.5470395 [1] "Iteration 886 of 1000:" [1] 0.5204104 [1] "Iteration 887 of 1000:" [1] 0.5083896 [1] "Iteration 888 of 1000:" [1] 0.5398173 [1] "Iteration 889 of 1000:" [1] 0.5305916 [1] "Iteration 890 of 1000:" [1] 0.50934 [1] "Iteration 891 of 1000:" [1] 0.5062758 [1] "Iteration 892 of 1000:" [1] 0.4808702 [1] "Iteration 893 of 1000:" [1] 0.5268885 [1] "Iteration 894 of 1000:" [1] 0.5421029 [1] "Iteration 895 of 1000:" [1] 0.5211172 [1] "Iteration 896 of 1000:" [1] 0.5222655 [1] "Iteration 897 of 1000:" [1] 0.5809763 [1] "Iteration 898 of 1000:" [1] 0.5286262 [1] "Iteration 899 of 1000:" [1] 0.5484431 [1] "Iteration 900 of 1000:" [1] 0.5275604 [1] "Iteration 901 of 1000:" [1] 0.5545698 [1] "Iteration 902 of 1000:" [1] 0.510412 [1] "Iteration 903 of 1000:" [1] 0.5329378 [1] "Iteration 904 of 1000:" [1] 0.500943 [1] "Iteration 905 of 1000:" [1] 0.4992546 [1] "Iteration 906 of 1000:" [1] 0.5285039 [1] "Iteration 907 of 1000:" [1] 0.5177576 [1] "Iteration 908 of 1000:" [1] 0.5389654 [1] "Iteration 909 of 1000:" [1] 0.5189562 [1] "Iteration 910 of 1000:" [1] 0.5344149 [1] "Iteration 911 of 1000:" [1] 0.5245758 [1] "Iteration 912 of 1000:" [1] 0.5021212 [1] "Iteration 913 of 1000:" [1] 0.5210176 [1] "Iteration 914 of 1000:" [1] 0.5155466 [1] "Iteration 915 of 1000:" [1] 0.5244881 [1] "Iteration 916 of 1000:" [1] 0.5450799 [1] "Iteration 917 of 1000:" [1] 0.542957 [1] "Iteration 918 of 1000:" [1] 0.5362708 [1] "Iteration 919 of 1000:" [1] 0.5139935 [1] "Iteration 920 of 1000:" [1] 0.5080712 [1] "Iteration 921 of 1000:" [1] 0.4856979 [1] "Iteration 922 of 1000:" [1] 0.5542876 [1] "Iteration 923 of 1000:" [1] 0.5187857 [1] "Iteration 924 of 1000:" [1] 0.5425309 [1] "Iteration 925 of 1000:" [1] 0.5467412 [1] "Iteration 926 of 1000:" [1] 0.5430834 [1] "Iteration 927 of 1000:" [1] 0.5086599 [1] "Iteration 928 of 1000:" [1] 0.5036597 [1] "Iteration 929 of 1000:" [1] 0.502844 [1] "Iteration 930 of 1000:" [1] 0.4978552 [1] "Iteration 931 of 1000:" [1] 0.5405338 [1] "Iteration 932 of 1000:" [1] 0.5490275 [1] "Iteration 933 of 1000:" [1] 0.5112911 [1] "Iteration 934 of 1000:" [1] 0.5400652 [1] "Iteration 935 of 1000:" [1] 0.5797016 [1] "Iteration 936 of 1000:" [1] 0.5443272 [1] "Iteration 937 of 1000:" [1] 0.5012425 [1] "Iteration 938 of 1000:" [1] 0.5189784 [1] "Iteration 939 of 1000:" [1] 0.5180345 [1] "Iteration 940 of 1000:" [1] 0.5271463 [1] "Iteration 941 of 1000:" [1] 0.5196983 [1] "Iteration 942 of 1000:" [1] 0.5205627 [1] "Iteration 943 of 1000:" [1] 0.4932379 [1] "Iteration 944 of 1000:" [1] 0.5210306 [1] "Iteration 945 of 1000:" [1] 0.5142626 [1] "Iteration 946 of 1000:" [1] 0.5153375 [1] "Iteration 947 of 1000:" [1] 0.5317859 [1] "Iteration 948 of 1000:" [1] 0.5434671 [1] "Iteration 949 of 1000:" [1] 0.5181619 [1] "Iteration 950 of 1000:" [1] 0.5289493 [1] "Iteration 951 of 1000:" [1] 0.5390155 [1] "Iteration 952 of 1000:" [1] 0.5128535 [1] "Iteration 953 of 1000:" [1] 0.5462773 [1] "Iteration 954 of 1000:" [1] 0.5253285 [1] "Iteration 955 of 1000:" [1] 0.53008 [1] "Iteration 956 of 1000:" [1] 0.5264037 [1] "Iteration 957 of 1000:" [1] 0.5344564 [1] "Iteration 958 of 1000:" [1] 0.5549211 [1] "Iteration 959 of 1000:" [1] 0.5542011 [1] "Iteration 960 of 1000:" [1] 0.5258571 [1] "Iteration 961 of 1000:" [1] 0.5124694 [1] "Iteration 962 of 1000:" [1] 0.5520776 [1] "Iteration 963 of 1000:" [1] 0.591984 [1] "Iteration 964 of 1000:" [1] 0.5505985 [1] "Iteration 965 of 1000:" [1] 0.5366518 [1] "Iteration 966 of 1000:" [1] 0.4918751 [1] "Iteration 967 of 1000:" [1] 0.5541347 [1] "Iteration 968 of 1000:" [1] 0.5490208 [1] "Iteration 969 of 1000:" [1] 0.5266996 [1] "Iteration 970 of 1000:" [1] 0.5372615 [1] "Iteration 971 of 1000:" [1] 0.5658174 [1] "Iteration 972 of 1000:" [1] 0.5067958 [1] "Iteration 973 of 1000:" [1] 0.5587603 [1] "Iteration 974 of 1000:" [1] 0.537483 [1] "Iteration 975 of 1000:" [1] 0.5665866 [1] "Iteration 976 of 1000:" [1] 0.5210737 [1] "Iteration 977 of 1000:" [1] 0.5445889 [1] "Iteration 978 of 1000:" [1] 0.5721941 [1] "Iteration 979 of 1000:" [1] 0.5291023 [1] "Iteration 980 of 1000:" [1] 0.5399308 [1] "Iteration 981 of 1000:" [1] 0.5230521 [1] "Iteration 982 of 1000:" [1] 0.5277594 [1] "Iteration 983 of 1000:" [1] 0.5292464 [1] "Iteration 984 of 1000:" [1] 0.5549086 [1] "Iteration 985 of 1000:" [1] 0.5633592 [1] "Iteration 986 of 1000:" [1] 0.5300646 [1] "Iteration 987 of 1000:" [1] 0.5218735 [1] "Iteration 988 of 1000:" [1] 0.5489288 [1] "Iteration 989 of 1000:" [1] 0.4929251 [1] "Iteration 990 of 1000:" [1] 0.5243641 [1] "Iteration 991 of 1000:" [1] 0.5198825 [1] "Iteration 992 of 1000:" [1] 0.5358395 [1] "Iteration 993 of 1000:" [1] 0.5408413 [1] "Iteration 994 of 1000:" [1] 0.4888567 [1] "Iteration 995 of 1000:" [1] 0.4968034 [1] "Iteration 996 of 1000:" [1] 0.5092377 [1] "Iteration 997 of 1000:" [1] 0.4997475 [1] "Iteration 998 of 1000:" [1] 0.5322924 [1] "Iteration 999 of 1000:" [1] 0.5276724 [1] "Iteration 1000 of 1000:" [1] 0.5501283 [1] "Iteration 1 of 1000:" [1] 0.985319 [1] "Iteration 2 of 1000:" [1] 0.988177 [1] "Iteration 3 of 1000:" [1] 0.9883692 [1] "Iteration 4 of 1000:" [1] 0.98759 [1] "Iteration 5 of 1000:" [1] 0.9852454 [1] "Iteration 6 of 1000:" [1] 0.9854129 [1] "Iteration 7 of 1000:" [1] 0.9871819 [1] "Iteration 8 of 1000:" [1] 0.9867789 [1] "Iteration 9 of 1000:" [1] 0.9847469 [1] "Iteration 10 of 1000:" [1] 0.9872399 [1] "Iteration 11 of 1000:" [1] 0.986357 [1] "Iteration 12 of 1000:" [1] 0.9857635 [1] "Iteration 13 of 1000:" [1] 0.9857769 [1] "Iteration 14 of 1000:" [1] 0.9859417 [1] "Iteration 15 of 1000:" [1] 0.9874626 [1] "Iteration 16 of 1000:" [1] 0.9869267 [1] "Iteration 17 of 1000:" [1] 0.985009 [1] "Iteration 18 of 1000:" [1] 0.9857744 [1] "Iteration 19 of 1000:" [1] 0.986312 [1] "Iteration 20 of 1000:" [1] 0.9879582 [1] "Iteration 21 of 1000:" [1] 0.9860222 [1] "Iteration 22 of 1000:" [1] 0.9872988 [1] "Iteration 23 of 1000:" [1] 0.9870007 [1] "Iteration 24 of 1000:" [1] 0.9872429 [1] "Iteration 25 of 1000:" [1] 0.9852488 [1] "Iteration 26 of 1000:" [1] 0.9876033 [1] "Iteration 27 of 1000:" [1] 0.9863276 [1] "Iteration 28 of 1000:" [1] 0.9875262 [1] "Iteration 29 of 1000:" [1] 0.9872831 [1] "Iteration 30 of 1000:" [1] 0.9848267 [1] "Iteration 31 of 1000:" [1] 0.9865479 [1] "Iteration 32 of 1000:" [1] 0.9831117 [1] "Iteration 33 of 1000:" [1] 0.9872647 [1] "Iteration 34 of 1000:" [1] 0.986238 [1] "Iteration 35 of 1000:" [1] 0.9877679 [1] "Iteration 36 of 1000:" [1] 0.9848964 [1] "Iteration 37 of 1000:" [1] 0.9880552 [1] "Iteration 38 of 1000:" [1] 0.9875273 [1] "Iteration 39 of 1000:" [1] 0.9854516 [1] "Iteration 40 of 1000:" [1] 0.9874415 [1] "Iteration 41 of 1000:" [1] 0.9868843 [1] "Iteration 42 of 1000:" [1] 0.9845348 [1] "Iteration 43 of 1000:" [1] 0.9858589 [1] "Iteration 44 of 1000:" [1] 0.9871937 [1] "Iteration 45 of 1000:" [1] 0.9861051 [1] "Iteration 46 of 1000:" [1] 0.9855214 [1] "Iteration 47 of 1000:" [1] 0.9880803 [1] "Iteration 48 of 1000:" [1] 0.9874615 [1] "Iteration 49 of 1000:" [1] 0.9863833 [1] "Iteration 50 of 1000:" [1] 0.9857874 [1] "Iteration 51 of 1000:" [1] 0.9882778 [1] "Iteration 52 of 1000:" [1] 0.9875967 [1] "Iteration 53 of 1000:" [1] 0.9860387 [1] "Iteration 54 of 1000:" [1] 0.9852023 [1] "Iteration 55 of 1000:" [1] 0.9859651 [1] "Iteration 56 of 1000:" [1] 0.9862 [1] "Iteration 57 of 1000:" [1] 0.9877793 [1] "Iteration 58 of 1000:" [1] 0.9849668 [1] "Iteration 59 of 1000:" [1] 0.9873494 [1] "Iteration 60 of 1000:" [1] 0.9878265 [1] "Iteration 61 of 1000:" [1] 0.987629 [1] "Iteration 62 of 1000:" [1] 0.9853039 [1] "Iteration 63 of 1000:" [1] 0.9868387 [1] "Iteration 64 of 1000:" [1] 0.9847235 [1] "Iteration 65 of 1000:" [1] 0.9850199 [1] "Iteration 66 of 1000:" [1] 0.9866608 [1] "Iteration 67 of 1000:" [1] 0.9857795 [1] "Iteration 68 of 1000:" [1] 0.9865176 [1] "Iteration 69 of 1000:" [1] 0.9858774 [1] "Iteration 70 of 1000:" [1] 0.9844077 [1] "Iteration 71 of 1000:" [1] 0.9857038 [1] "Iteration 72 of 1000:" [1] 0.9874399 [1] "Iteration 73 of 1000:" [1] 0.9884641 [1] "Iteration 74 of 1000:" [1] 0.9851323 [1] "Iteration 75 of 1000:" [1] 0.9873622 [1] "Iteration 76 of 1000:" [1] 0.9886864 [1] "Iteration 77 of 1000:" [1] 0.985952 [1] "Iteration 78 of 1000:" [1] 0.9856498 [1] "Iteration 79 of 1000:" [1] 0.9873258 [1] "Iteration 80 of 1000:" [1] 0.9891574 [1] "Iteration 81 of 1000:" [1] 0.98696 [1] "Iteration 82 of 1000:" [1] 0.9875796 [1] "Iteration 83 of 1000:" [1] 0.9878498 [1] "Iteration 84 of 1000:" [1] 0.9861286 [1] "Iteration 85 of 1000:" [1] 0.987361 [1] "Iteration 86 of 1000:" [1] 0.9875002 [1] "Iteration 87 of 1000:" [1] 0.986603 [1] "Iteration 88 of 1000:" [1] 0.9858808 [1] "Iteration 89 of 1000:" [1] 0.9857893 [1] "Iteration 90 of 1000:" [1] 0.9876963 [1] "Iteration 91 of 1000:" [1] 0.9859306 [1] "Iteration 92 of 1000:" [1] 0.988746 [1] "Iteration 93 of 1000:" [1] 0.9874536 [1] "Iteration 94 of 1000:" [1] 0.9849848 [1] "Iteration 95 of 1000:" [1] 0.9866431 [1] "Iteration 96 of 1000:" [1] 0.9856525 [1] "Iteration 97 of 1000:" [1] 0.9871483 [1] "Iteration 98 of 1000:" [1] 0.985363 [1] "Iteration 99 of 1000:" [1] 0.9873494 [1] "Iteration 100 of 1000:" [1] 0.9848379 [1] "Iteration 101 of 1000:" [1] 0.9875643 [1] "Iteration 102 of 1000:" [1] 0.9857927 [1] "Iteration 103 of 1000:" [1] 0.9865665 [1] "Iteration 104 of 1000:" [1] 0.9886837 [1] "Iteration 105 of 1000:" [1] 0.9885079 [1] "Iteration 106 of 1000:" [1] 0.9846251 [1] "Iteration 107 of 1000:" [1] 0.9867858 [1] "Iteration 108 of 1000:" [1] 0.9854103 [1] "Iteration 109 of 1000:" [1] 0.9867424 [1] "Iteration 110 of 1000:" [1] 0.986556 [1] "Iteration 111 of 1000:" [1] 0.9875989 [1] "Iteration 112 of 1000:" [1] 0.9874054 [1] "Iteration 113 of 1000:" [1] 0.9879782 [1] "Iteration 114 of 1000:" [1] 0.9853269 [1] "Iteration 115 of 1000:" [1] 0.9875001 [1] "Iteration 116 of 1000:" [1] 0.9849158 [1] "Iteration 117 of 1000:" [1] 0.9869508 [1] "Iteration 118 of 1000:" [1] 0.9874591 [1] "Iteration 119 of 1000:" [1] 0.9870526 [1] "Iteration 120 of 1000:" [1] 0.9874341 [1] "Iteration 121 of 1000:" [1] 0.9855774 [1] "Iteration 122 of 1000:" [1] 0.987013 [1] "Iteration 123 of 1000:" [1] 0.9872414 [1] "Iteration 124 of 1000:" [1] 0.9877682 [1] "Iteration 125 of 1000:" [1] 0.985189 [1] "Iteration 126 of 1000:" [1] 0.9874617 [1] "Iteration 127 of 1000:" [1] 0.9886221 [1] "Iteration 128 of 1000:" [1] 0.987149 [1] "Iteration 129 of 1000:" [1] 0.9840611 [1] "Iteration 130 of 1000:" [1] 0.98516 [1] "Iteration 131 of 1000:" [1] 0.9865871 [1] "Iteration 132 of 1000:" [1] 0.9874846 [1] "Iteration 133 of 1000:" [1] 0.9851527 [1] "Iteration 134 of 1000:" [1] 0.9873172 [1] "Iteration 135 of 1000:" [1] 0.987338 [1] "Iteration 136 of 1000:" [1] 0.9873663 [1] "Iteration 137 of 1000:" [1] 0.9879669 [1] "Iteration 138 of 1000:" [1] 0.9872592 [1] "Iteration 139 of 1000:" [1] 0.9890338 [1] "Iteration 140 of 1000:" [1] 0.9872847 [1] "Iteration 141 of 1000:" [1] 0.9869623 [1] "Iteration 142 of 1000:" [1] 0.9870017 [1] "Iteration 143 of 1000:" [1] 0.9879017 [1] "Iteration 144 of 1000:" [1] 0.9854888 [1] "Iteration 145 of 1000:" [1] 0.9865773 [1] "Iteration 146 of 1000:" [1] 0.9845571 [1] "Iteration 147 of 1000:" [1] 0.9867125 [1] "Iteration 148 of 1000:" [1] 0.9852822 [1] "Iteration 149 of 1000:" [1] 0.9859694 [1] "Iteration 150 of 1000:" [1] 0.9855377 [1] "Iteration 151 of 1000:" [1] 0.9875822 [1] "Iteration 152 of 1000:" [1] 0.9855523 [1] "Iteration 153 of 1000:" [1] 0.9875112 [1] "Iteration 154 of 1000:" [1] 0.9848117 [1] "Iteration 155 of 1000:" [1] 0.9887442 [1] "Iteration 156 of 1000:" [1] 0.9847209 [1] "Iteration 157 of 1000:" [1] 0.9874276 [1] "Iteration 158 of 1000:" [1] 0.9886647 [1] "Iteration 159 of 1000:" [1] 0.9872914 [1] "Iteration 160 of 1000:" [1] 0.987061 [1] "Iteration 161 of 1000:" [1] 0.9858198 [1] "Iteration 162 of 1000:" [1] 0.9876991 [1] "Iteration 163 of 1000:" [1] 0.9874333 [1] "Iteration 164 of 1000:" [1] 0.9844077 [1] "Iteration 165 of 1000:" [1] 0.9844077 [1] "Iteration 166 of 1000:" [1] 0.9875189 [1] "Iteration 167 of 1000:" [1] 0.987594 [1] "Iteration 168 of 1000:" [1] 0.9880143 [1] "Iteration 169 of 1000:" [1] 0.9875773 [1] "Iteration 170 of 1000:" [1] 0.9859553 [1] "Iteration 171 of 1000:" [1] 0.9870657 [1] "Iteration 172 of 1000:" [1] 0.9876856 [1] "Iteration 173 of 1000:" [1] 0.9875261 [1] "Iteration 174 of 1000:" [1] 0.9860258 [1] "Iteration 175 of 1000:" [1] 0.9874164 [1] "Iteration 176 of 1000:" [1] 0.9879817 [1] "Iteration 177 of 1000:" [1] 0.9856578 [1] "Iteration 178 of 1000:" [1] 0.9835587 [1] "Iteration 179 of 1000:" [1] 0.9878744 [1] "Iteration 180 of 1000:" [1] 0.9875582 [1] "Iteration 181 of 1000:" [1] 0.9871754 [1] "Iteration 182 of 1000:" [1] 0.9875899 [1] "Iteration 183 of 1000:" [1] 0.9862445 [1] "Iteration 184 of 1000:" [1] 0.9864465 [1] "Iteration 185 of 1000:" [1] 0.9860872 [1] "Iteration 186 of 1000:" [1] 0.9872612 [1] "Iteration 187 of 1000:" [1] 0.9889037 [1] "Iteration 188 of 1000:" [1] 0.9854386 [1] "Iteration 189 of 1000:" [1] 0.9880541 [1] "Iteration 190 of 1000:" [1] 0.9862112 [1] "Iteration 191 of 1000:" [1] 0.9872201 [1] "Iteration 192 of 1000:" [1] 0.984787 [1] "Iteration 193 of 1000:" [1] 0.9872517 [1] "Iteration 194 of 1000:" [1] 0.9867218 [1] "Iteration 195 of 1000:" [1] 0.9887846 [1] "Iteration 196 of 1000:" [1] 0.9865176 [1] "Iteration 197 of 1000:" [1] 0.9875942 [1] "Iteration 198 of 1000:" [1] 0.9867778 [1] "Iteration 199 of 1000:" [1] 0.9872491 [1] "Iteration 200 of 1000:" [1] 0.987791 [1] "Iteration 201 of 1000:" [1] 0.985399 [1] "Iteration 202 of 1000:" [1] 0.9864613 [1] "Iteration 203 of 1000:" [1] 0.9877538 [1] "Iteration 204 of 1000:" [1] 0.9852452 [1] "Iteration 205 of 1000:" [1] 0.9848352 [1] "Iteration 206 of 1000:" [1] 0.9857737 [1] "Iteration 207 of 1000:" [1] 0.9879848 [1] "Iteration 208 of 1000:" [1] 0.9876347 [1] "Iteration 209 of 1000:" [1] 0.9866782 [1] "Iteration 210 of 1000:" [1] 0.987818 [1] "Iteration 211 of 1000:" [1] 0.985887 [1] "Iteration 212 of 1000:" [1] 0.9870835 [1] "Iteration 213 of 1000:" [1] 0.9858284 [1] "Iteration 214 of 1000:" [1] 0.985257 [1] "Iteration 215 of 1000:" [1] 0.9849868 [1] "Iteration 216 of 1000:" [1] 0.9839641 [1] "Iteration 217 of 1000:" [1] 0.9874136 [1] "Iteration 218 of 1000:" [1] 0.9879427 [1] "Iteration 219 of 1000:" [1] 0.9880049 [1] "Iteration 220 of 1000:" [1] 0.9869164 [1] "Iteration 221 of 1000:" [1] 0.9860521 [1] "Iteration 222 of 1000:" [1] 0.9852492 [1] "Iteration 223 of 1000:" [1] 0.9864134 [1] "Iteration 224 of 1000:" [1] 0.9877572 [1] "Iteration 225 of 1000:" [1] 0.9857497 [1] "Iteration 226 of 1000:" [1] 0.9874618 [1] "Iteration 227 of 1000:" [1] 0.9860821 [1] "Iteration 228 of 1000:" [1] 0.9866096 [1] "Iteration 229 of 1000:" [1] 0.9873494 [1] "Iteration 230 of 1000:" [1] 0.9845487 [1] "Iteration 231 of 1000:" [1] 0.9867715 [1] "Iteration 232 of 1000:" [1] 0.9885755 [1] "Iteration 233 of 1000:" [1] 0.9885941 [1] "Iteration 234 of 1000:" [1] 0.9871437 [1] "Iteration 235 of 1000:" [1] 0.9862814 [1] "Iteration 236 of 1000:" [1] 0.9874443 [1] "Iteration 237 of 1000:" [1] 0.9856804 [1] "Iteration 238 of 1000:" [1] 0.9867281 [1] "Iteration 239 of 1000:" [1] 0.986749 [1] "Iteration 240 of 1000:" [1] 0.9858844 [1] "Iteration 241 of 1000:" [1] 0.9875693 [1] "Iteration 242 of 1000:" [1] 0.9889556 [1] "Iteration 243 of 1000:" [1] 0.9874438 [1] "Iteration 244 of 1000:" [1] 0.9860869 [1] "Iteration 245 of 1000:" [1] 0.9855774 [1] "Iteration 246 of 1000:" [1] 0.9889391 [1] "Iteration 247 of 1000:" [1] 0.9875235 [1] "Iteration 248 of 1000:" [1] 0.98743 [1] "Iteration 249 of 1000:" [1] 0.9860525 [1] "Iteration 250 of 1000:" [1] 0.9854585 [1] "Iteration 251 of 1000:" [1] 0.9855092 [1] "Iteration 252 of 1000:" [1] 0.9859178 [1] "Iteration 253 of 1000:" [1] 0.9865133 [1] "Iteration 254 of 1000:" [1] 0.9858142 [1] "Iteration 255 of 1000:" [1] 0.9878923 [1] "Iteration 256 of 1000:" [1] 0.9876423 [1] "Iteration 257 of 1000:" [1] 0.9873373 [1] "Iteration 258 of 1000:" [1] 0.9872757 [1] "Iteration 259 of 1000:" [1] 0.984913 [1] "Iteration 260 of 1000:" [1] 0.9861292 [1] "Iteration 261 of 1000:" [1] 0.9860052 [1] "Iteration 262 of 1000:" [1] 0.9859569 [1] "Iteration 263 of 1000:" [1] 0.9876078 [1] "Iteration 264 of 1000:" [1] 0.9863182 [1] "Iteration 265 of 1000:" [1] 0.9878936 [1] "Iteration 266 of 1000:" [1] 0.9872917 [1] "Iteration 267 of 1000:" [1] 0.9859409 [1] "Iteration 268 of 1000:" [1] 0.9866084 [1] "Iteration 269 of 1000:" [1] 0.9851453 [1] "Iteration 270 of 1000:" [1] 0.9871945 [1] "Iteration 271 of 1000:" [1] 0.9854095 [1] "Iteration 272 of 1000:" [1] 0.985817 [1] "Iteration 273 of 1000:" [1] 0.9880099 [1] "Iteration 274 of 1000:" [1] 0.9851132 [1] "Iteration 275 of 1000:" [1] 0.9873994 [1] "Iteration 276 of 1000:" [1] 0.9854351 [1] "Iteration 277 of 1000:" [1] 0.9883249 [1] "Iteration 278 of 1000:" [1] 0.9874121 [1] "Iteration 279 of 1000:" [1] 0.9862674 [1] "Iteration 280 of 1000:" [1] 0.9844352 [1] "Iteration 281 of 1000:" [1] 0.987665 [1] "Iteration 282 of 1000:" [1] 0.985254 [1] "Iteration 283 of 1000:" [1] 0.9852639 [1] "Iteration 284 of 1000:" [1] 0.9869599 [1] "Iteration 285 of 1000:" [1] 0.9878173 [1] "Iteration 286 of 1000:" [1] 0.9861117 [1] "Iteration 287 of 1000:" [1] 0.9847853 [1] "Iteration 288 of 1000:" [1] 0.9862405 [1] "Iteration 289 of 1000:" [1] 0.9847065 [1] "Iteration 290 of 1000:" [1] 0.9858683 [1] "Iteration 291 of 1000:" [1] 0.9875896 [1] "Iteration 292 of 1000:" [1] 0.9871652 [1] "Iteration 293 of 1000:" [1] 0.9852454 [1] "Iteration 294 of 1000:" [1] 0.9858739 [1] "Iteration 295 of 1000:" [1] 0.9873807 [1] "Iteration 296 of 1000:" [1] 0.987384 [1] "Iteration 297 of 1000:" [1] 0.9872077 [1] "Iteration 298 of 1000:" [1] 0.9854755 [1] "Iteration 299 of 1000:" [1] 0.9859445 [1] "Iteration 300 of 1000:" [1] 0.9857999 [1] "Iteration 301 of 1000:" [1] 0.9867429 [1] "Iteration 302 of 1000:" [1] 0.9873476 [1] "Iteration 303 of 1000:" [1] 0.9879234 [1] "Iteration 304 of 1000:" [1] 0.986272 [1] "Iteration 305 of 1000:" [1] 0.9874215 [1] "Iteration 306 of 1000:" [1] 0.9886032 [1] "Iteration 307 of 1000:" [1] 0.988093 [1] "Iteration 308 of 1000:" [1] 0.9862822 [1] "Iteration 309 of 1000:" [1] 0.9875795 [1] "Iteration 310 of 1000:" [1] 0.9852574 [1] "Iteration 311 of 1000:" [1] 0.9862791 [1] "Iteration 312 of 1000:" [1] 0.9857029 [1] "Iteration 313 of 1000:" [1] 0.9891711 [1] "Iteration 314 of 1000:" [1] 0.988103 [1] "Iteration 315 of 1000:" [1] 0.9855968 [1] "Iteration 316 of 1000:" [1] 0.987691 [1] "Iteration 317 of 1000:" [1] 0.9875791 [1] "Iteration 318 of 1000:" [1] 0.9883588 [1] "Iteration 319 of 1000:" [1] 0.9866481 [1] "Iteration 320 of 1000:" [1] 0.985836 [1] "Iteration 321 of 1000:" [1] 0.9858679 [1] "Iteration 322 of 1000:" [1] 0.9855404 [1] "Iteration 323 of 1000:" [1] 0.9873179 [1] "Iteration 324 of 1000:" [1] 0.9861076 [1] "Iteration 325 of 1000:" [1] 0.9859232 [1] "Iteration 326 of 1000:" [1] 0.9874622 [1] "Iteration 327 of 1000:" [1] 0.987464 [1] "Iteration 328 of 1000:" [1] 0.9873559 [1] "Iteration 329 of 1000:" [1] 0.9876346 [1] "Iteration 330 of 1000:" [1] 0.9859368 [1] "Iteration 331 of 1000:" [1] 0.9872306 [1] "Iteration 332 of 1000:" [1] 0.9887098 [1] "Iteration 333 of 1000:" [1] 0.985748 [1] "Iteration 334 of 1000:" [1] 0.9883072 [1] "Iteration 335 of 1000:" [1] 0.9847469 [1] "Iteration 336 of 1000:" [1] 0.9857399 [1] "Iteration 337 of 1000:" [1] 0.9875722 [1] "Iteration 338 of 1000:" [1] 0.9878794 [1] "Iteration 339 of 1000:" [1] 0.9874945 [1] "Iteration 340 of 1000:" [1] 0.9865871 [1] "Iteration 341 of 1000:" [1] 0.9870554 [1] "Iteration 342 of 1000:" [1] 0.987464 [1] "Iteration 343 of 1000:" [1] 0.9873899 [1] "Iteration 344 of 1000:" [1] 0.9855754 [1] "Iteration 345 of 1000:" [1] 0.9878468 [1] "Iteration 346 of 1000:" [1] 0.986755 [1] "Iteration 347 of 1000:" [1] 0.9865362 [1] "Iteration 348 of 1000:" [1] 0.9873785 [1] "Iteration 349 of 1000:" [1] 0.9878829 [1] "Iteration 350 of 1000:" [1] 0.9845593 [1] "Iteration 351 of 1000:" [1] 0.9886002 [1] "Iteration 352 of 1000:" [1] 0.9858606 [1] "Iteration 353 of 1000:" [1] 0.9851484 [1] "Iteration 354 of 1000:" [1] 0.9875257 [1] "Iteration 355 of 1000:" [1] 0.9859684 [1] "Iteration 356 of 1000:" [1] 0.9874518 [1] "Iteration 357 of 1000:" [1] 0.987636 [1] "Iteration 358 of 1000:" [1] 0.9874275 [1] "Iteration 359 of 1000:" [1] 0.9880664 [1] "Iteration 360 of 1000:" [1] 0.9873807 [1] "Iteration 361 of 1000:" [1] 0.9855572 [1] "Iteration 362 of 1000:" [1] 0.9879538 [1] "Iteration 363 of 1000:" [1] 0.9859692 [1] "Iteration 364 of 1000:" [1] 0.9882199 [1] "Iteration 365 of 1000:" [1] 0.9873494 [1] "Iteration 366 of 1000:" [1] 0.9853327 [1] "Iteration 367 of 1000:" [1] 0.9887028 [1] "Iteration 368 of 1000:" [1] 0.9878431 [1] "Iteration 369 of 1000:" [1] 0.9871558 [1] "Iteration 370 of 1000:" [1] 0.9874872 [1] "Iteration 371 of 1000:" [1] 0.9866192 [1] "Iteration 372 of 1000:" [1] 0.9882153 [1] "Iteration 373 of 1000:" [1] 0.9867491 [1] "Iteration 374 of 1000:" [1] 0.9875449 [1] "Iteration 375 of 1000:" [1] 0.9870456 [1] "Iteration 376 of 1000:" [1] 0.9873347 [1] "Iteration 377 of 1000:" [1] 0.9875536 [1] "Iteration 378 of 1000:" [1] 0.9846906 [1] "Iteration 379 of 1000:" [1] 0.9880281 [1] "Iteration 380 of 1000:" [1] 0.9879085 [1] "Iteration 381 of 1000:" [1] 0.9850612 [1] "Iteration 382 of 1000:" [1] 0.9840706 [1] "Iteration 383 of 1000:" [1] 0.9872761 [1] "Iteration 384 of 1000:" [1] 0.9858911 [1] "Iteration 385 of 1000:" [1] 0.9875202 [1] "Iteration 386 of 1000:" [1] 0.987566 [1] "Iteration 387 of 1000:" [1] 0.9875223 [1] "Iteration 388 of 1000:" [1] 0.9863404 [1] "Iteration 389 of 1000:" [1] 0.9855484 [1] "Iteration 390 of 1000:" [1] 0.9866669 [1] "Iteration 391 of 1000:" [1] 0.9885174 [1] "Iteration 392 of 1000:" [1] 0.9872574 [1] "Iteration 393 of 1000:" [1] 0.9864973 [1] "Iteration 394 of 1000:" [1] 0.9868057 [1] "Iteration 395 of 1000:" [1] 0.9864988 [1] "Iteration 396 of 1000:" [1] 0.9870363 [1] "Iteration 397 of 1000:" [1] 0.9869903 [1] "Iteration 398 of 1000:" [1] 0.9880057 [1] "Iteration 399 of 1000:" [1] 0.9862536 [1] "Iteration 400 of 1000:" [1] 0.9863197 [1] "Iteration 401 of 1000:" [1] 0.9874073 [1] "Iteration 402 of 1000:" [1] 0.9876741 [1] "Iteration 403 of 1000:" [1] 0.9877342 [1] "Iteration 404 of 1000:" [1] 0.9875481 [1] "Iteration 405 of 1000:" [1] 0.9862657 [1] "Iteration 406 of 1000:" [1] 0.9875615 [1] "Iteration 407 of 1000:" [1] 0.98679 [1] "Iteration 408 of 1000:" [1] 0.9874398 [1] "Iteration 409 of 1000:" [1] 0.9861927 [1] "Iteration 410 of 1000:" [1] 0.9876755 [1] "Iteration 411 of 1000:" [1] 0.9855774 [1] "Iteration 412 of 1000:" [1] 0.9849557 [1] "Iteration 413 of 1000:" [1] 0.9855996 [1] "Iteration 414 of 1000:" [1] 0.9871602 [1] "Iteration 415 of 1000:" [1] 0.9875603 [1] "Iteration 416 of 1000:" [1] 0.9873454 [1] "Iteration 417 of 1000:" [1] 0.9848145 [1] "Iteration 418 of 1000:" [1] 0.9857402 [1] "Iteration 419 of 1000:" [1] 0.9849401 [1] "Iteration 420 of 1000:" [1] 0.9880601 [1] "Iteration 421 of 1000:" [1] 0.9859932 [1] "Iteration 422 of 1000:" [1] 0.9872292 [1] "Iteration 423 of 1000:" [1] 0.9861753 [1] "Iteration 424 of 1000:" [1] 0.9848955 [1] "Iteration 425 of 1000:" [1] 0.9863072 [1] "Iteration 426 of 1000:" [1] 0.9844077 [1] "Iteration 427 of 1000:" [1] 0.9871985 [1] "Iteration 428 of 1000:" [1] 0.9865738 [1] "Iteration 429 of 1000:" [1] 0.9868481 [1] "Iteration 430 of 1000:" [1] 0.9869808 [1] "Iteration 431 of 1000:" [1] 0.9871868 [1] "Iteration 432 of 1000:" [1] 0.9873074 [1] "Iteration 433 of 1000:" [1] 0.9858372 [1] "Iteration 434 of 1000:" [1] 0.9882197 [1] "Iteration 435 of 1000:" [1] 0.9858198 [1] "Iteration 436 of 1000:" [1] 0.9855383 [1] "Iteration 437 of 1000:" [1] 0.9875172 [1] "Iteration 438 of 1000:" [1] 0.9858384 [1] "Iteration 439 of 1000:" [1] 0.9879975 [1] "Iteration 440 of 1000:" [1] 0.9851339 [1] "Iteration 441 of 1000:" [1] 0.9863686 [1] "Iteration 442 of 1000:" [1] 0.9877638 [1] "Iteration 443 of 1000:" [1] 0.9869619 [1] "Iteration 444 of 1000:" [1] 0.9847426 [1] "Iteration 445 of 1000:" [1] 0.985621 [1] "Iteration 446 of 1000:" [1] 0.9876497 [1] "Iteration 447 of 1000:" [1] 0.9881053 [1] "Iteration 448 of 1000:" [1] 0.9860104 [1] "Iteration 449 of 1000:" [1] 0.9880848 [1] "Iteration 450 of 1000:" [1] 0.9873985 [1] "Iteration 451 of 1000:" [1] 0.9860021 [1] "Iteration 452 of 1000:" [1] 0.9872169 [1] "Iteration 453 of 1000:" [1] 0.9873706 [1] "Iteration 454 of 1000:" [1] 0.9861192 [1] "Iteration 455 of 1000:" [1] 0.9865266 [1] "Iteration 456 of 1000:" [1] 0.98755 [1] "Iteration 457 of 1000:" [1] 0.9857289 [1] "Iteration 458 of 1000:" [1] 0.9878699 [1] "Iteration 459 of 1000:" [1] 0.987359 [1] "Iteration 460 of 1000:" [1] 0.9865334 [1] "Iteration 461 of 1000:" [1] 0.9871457 [1] "Iteration 462 of 1000:" [1] 0.987487 [1] "Iteration 463 of 1000:" [1] 0.9866117 [1] "Iteration 464 of 1000:" [1] 0.9869207 [1] "Iteration 465 of 1000:" [1] 0.9852956 [1] "Iteration 466 of 1000:" [1] 0.9882885 [1] "Iteration 467 of 1000:" [1] 0.9860534 [1] "Iteration 468 of 1000:" [1] 0.9878731 [1] "Iteration 469 of 1000:" [1] 0.9884933 [1] "Iteration 470 of 1000:" [1] 0.9856079 [1] "Iteration 471 of 1000:" [1] 0.9866219 [1] "Iteration 472 of 1000:" [1] 0.9856525 [1] "Iteration 473 of 1000:" [1] 0.9872502 [1] "Iteration 474 of 1000:" [1] 0.9876532 [1] "Iteration 475 of 1000:" [1] 0.9871681 [1] "Iteration 476 of 1000:" [1] 0.9875057 [1] "Iteration 477 of 1000:" [1] 0.9871891 [1] "Iteration 478 of 1000:" [1] 0.9876696 [1] "Iteration 479 of 1000:" [1] 0.9881944 [1] "Iteration 480 of 1000:" [1] 0.9843342 [1] "Iteration 481 of 1000:" [1] 0.985713 [1] "Iteration 482 of 1000:" [1] 0.9854866 [1] "Iteration 483 of 1000:" [1] 0.987293 [1] "Iteration 484 of 1000:" [1] 0.9874526 [1] "Iteration 485 of 1000:" [1] 0.9859505 [1] "Iteration 486 of 1000:" [1] 0.9873424 [1] "Iteration 487 of 1000:" [1] 0.9879319 [1] "Iteration 488 of 1000:" [1] 0.9857611 [1] "Iteration 489 of 1000:" [1] 0.9849783 [1] "Iteration 490 of 1000:" [1] 0.9856243 [1] "Iteration 491 of 1000:" [1] 0.9861845 [1] "Iteration 492 of 1000:" [1] 0.9872328 [1] "Iteration 493 of 1000:" [1] 0.9873152 [1] "Iteration 494 of 1000:" [1] 0.9861424 [1] "Iteration 495 of 1000:" [1] 0.9860052 [1] "Iteration 496 of 1000:" [1] 0.9872609 [1] "Iteration 497 of 1000:" [1] 0.9871945 [1] "Iteration 498 of 1000:" [1] 0.9856718 [1] "Iteration 499 of 1000:" [1] 0.9867918 [1] "Iteration 500 of 1000:" [1] 0.9863524 [1] "Iteration 501 of 1000:" [1] 0.9866918 [1] "Iteration 502 of 1000:" [1] 0.987516 [1] "Iteration 503 of 1000:" [1] 0.9876421 [1] "Iteration 504 of 1000:" [1] 0.9874435 [1] "Iteration 505 of 1000:" [1] 0.9871998 [1] "Iteration 506 of 1000:" [1] 0.985455 [1] "Iteration 507 of 1000:" [1] 0.9876028 [1] "Iteration 508 of 1000:" [1] 0.9876153 [1] "Iteration 509 of 1000:" [1] 0.9871308 [1] "Iteration 510 of 1000:" [1] 0.9858167 [1] "Iteration 511 of 1000:" [1] 0.9872065 [1] "Iteration 512 of 1000:" [1] 0.9858074 [1] "Iteration 513 of 1000:" [1] 0.9862207 [1] "Iteration 514 of 1000:" [1] 0.9870347 [1] "Iteration 515 of 1000:" [1] 0.9877886 [1] "Iteration 516 of 1000:" [1] 0.9862034 [1] "Iteration 517 of 1000:" [1] 0.9862304 [1] "Iteration 518 of 1000:" [1] 0.9887799 [1] "Iteration 519 of 1000:" [1] 0.9871653 [1] "Iteration 520 of 1000:" [1] 0.9869519 [1] "Iteration 521 of 1000:" [1] 0.987338 [1] "Iteration 522 of 1000:" [1] 0.9879818 [1] "Iteration 523 of 1000:" [1] 0.9863213 [1] "Iteration 524 of 1000:" [1] 0.9857895 [1] "Iteration 525 of 1000:" [1] 0.9861035 [1] "Iteration 526 of 1000:" [1] 0.9843735 [1] "Iteration 527 of 1000:" [1] 0.9876327 [1] "Iteration 528 of 1000:" [1] 0.9872504 [1] "Iteration 529 of 1000:" [1] 0.9862237 [1] "Iteration 530 of 1000:" [1] 0.9876994 [1] "Iteration 531 of 1000:" [1] 0.987348 [1] "Iteration 532 of 1000:" [1] 0.9874089 [1] "Iteration 533 of 1000:" [1] 0.9879944 [1] "Iteration 534 of 1000:" [1] 0.9875622 [1] "Iteration 535 of 1000:" [1] 0.9860291 [1] "Iteration 536 of 1000:" [1] 0.987591 [1] "Iteration 537 of 1000:" [1] 0.9878773 [1] "Iteration 538 of 1000:" [1] 0.9875575 [1] "Iteration 539 of 1000:" [1] 0.9866902 [1] "Iteration 540 of 1000:" [1] 0.9856601 [1] "Iteration 541 of 1000:" [1] 0.9873494 [1] "Iteration 542 of 1000:" [1] 0.9890656 [1] "Iteration 543 of 1000:" [1] 0.9873015 [1] "Iteration 544 of 1000:" [1] 0.9879348 [1] "Iteration 545 of 1000:" [1] 0.9852764 [1] "Iteration 546 of 1000:" [1] 0.9877956 [1] "Iteration 547 of 1000:" [1] 0.9867037 [1] "Iteration 548 of 1000:" [1] 0.9857754 [1] "Iteration 549 of 1000:" [1] 0.9887293 [1] "Iteration 550 of 1000:" [1] 0.9875112 [1] "Iteration 551 of 1000:" [1] 0.9874197 [1] "Iteration 552 of 1000:" [1] 0.9853532 [1] "Iteration 553 of 1000:" [1] 0.9879915 [1] "Iteration 554 of 1000:" [1] 0.988033 [1] "Iteration 555 of 1000:" [1] 0.9874197 [1] "Iteration 556 of 1000:" [1] 0.9862359 [1] "Iteration 557 of 1000:" [1] 0.9875868 [1] "Iteration 558 of 1000:" [1] 0.9851773 [1] "Iteration 559 of 1000:" [1] 0.9863184 [1] "Iteration 560 of 1000:" [1] 0.9873648 [1] "Iteration 561 of 1000:" [1] 0.9882909 [1] "Iteration 562 of 1000:" [1] 0.9878567 [1] "Iteration 563 of 1000:" [1] 0.9873663 [1] "Iteration 564 of 1000:" [1] 0.9877304 [1] "Iteration 565 of 1000:" [1] 0.9856744 [1] "Iteration 566 of 1000:" [1] 0.9879626 [1] "Iteration 567 of 1000:" [1] 0.9878794 [1] "Iteration 568 of 1000:" [1] 0.9874748 [1] "Iteration 569 of 1000:" [1] 0.9866096 [1] "Iteration 570 of 1000:" [1] 0.984864 [1] "Iteration 571 of 1000:" [1] 0.9869805 [1] "Iteration 572 of 1000:" [1] 0.9868846 [1] "Iteration 573 of 1000:" [1] 0.9865835 [1] "Iteration 574 of 1000:" [1] 0.9869139 [1] "Iteration 575 of 1000:" [1] 0.9880917 [1] "Iteration 576 of 1000:" [1] 0.9869152 [1] "Iteration 577 of 1000:" [1] 0.9857591 [1] "Iteration 578 of 1000:" [1] 0.9851246 [1] "Iteration 579 of 1000:" [1] 0.9875702 [1] "Iteration 580 of 1000:" [1] 0.9880576 [1] "Iteration 581 of 1000:" [1] 0.9876203 [1] "Iteration 582 of 1000:" [1] 0.9876905 [1] "Iteration 583 of 1000:" [1] 0.9886936 [1] "Iteration 584 of 1000:" [1] 0.9855243 [1] "Iteration 585 of 1000:" [1] 0.9848129 [1] "Iteration 586 of 1000:" [1] 0.9860368 [1] "Iteration 587 of 1000:" [1] 0.986634 [1] "Iteration 588 of 1000:" [1] 0.986905 [1] "Iteration 589 of 1000:" [1] 0.9849824 [1] "Iteration 590 of 1000:" [1] 0.9861299 [1] "Iteration 591 of 1000:" [1] 0.9876986 [1] "Iteration 592 of 1000:" [1] 0.9876687 [1] "Iteration 593 of 1000:" [1] 0.9877149 [1] "Iteration 594 of 1000:" [1] 0.9874019 [1] "Iteration 595 of 1000:" [1] 0.9830087 [1] "Iteration 596 of 1000:" [1] 0.9875547 [1] "Iteration 597 of 1000:" [1] 0.9867255 [1] "Iteration 598 of 1000:" [1] 0.9853783 [1] "Iteration 599 of 1000:" [1] 0.9885569 [1] "Iteration 600 of 1000:" [1] 0.9860139 [1] "Iteration 601 of 1000:" [1] 0.9877318 [1] "Iteration 602 of 1000:" [1] 0.9848964 [1] "Iteration 603 of 1000:" [1] 0.9865871 [1] "Iteration 604 of 1000:" [1] 0.9856853 [1] "Iteration 605 of 1000:" [1] 0.9862956 [1] "Iteration 606 of 1000:" [1] 0.987265 [1] "Iteration 607 of 1000:" [1] 0.9855279 [1] "Iteration 608 of 1000:" [1] 0.9884069 [1] "Iteration 609 of 1000:" [1] 0.987442 [1] "Iteration 610 of 1000:" [1] 0.987047 [1] "Iteration 611 of 1000:" [1] 0.9851688 [1] "Iteration 612 of 1000:" [1] 0.9845194 [1] "Iteration 613 of 1000:" [1] 0.9859373 [1] "Iteration 614 of 1000:" [1] 0.9874652 [1] "Iteration 615 of 1000:" [1] 0.9847909 [1] "Iteration 616 of 1000:" [1] 0.9850812 [1] "Iteration 617 of 1000:" [1] 0.9856246 [1] "Iteration 618 of 1000:" [1] 0.9853009 [1] "Iteration 619 of 1000:" [1] 0.9887915 [1] "Iteration 620 of 1000:" [1] 0.9867568 [1] "Iteration 621 of 1000:" [1] 0.9849838 [1] "Iteration 622 of 1000:" [1] 0.9865176 [1] "Iteration 623 of 1000:" [1] 0.9848052 [1] "Iteration 624 of 1000:" [1] 0.9872761 [1] "Iteration 625 of 1000:" [1] 0.9871781 [1] "Iteration 626 of 1000:" [1] 0.9877525 [1] "Iteration 627 of 1000:" [1] 0.9875342 [1] "Iteration 628 of 1000:" [1] 0.9880097 [1] "Iteration 629 of 1000:" [1] 0.9878449 [1] "Iteration 630 of 1000:" [1] 0.9874623 [1] "Iteration 631 of 1000:" [1] 0.9867168 [1] "Iteration 632 of 1000:" [1] 0.9858723 [1] "Iteration 633 of 1000:" [1] 0.9854893 [1] "Iteration 634 of 1000:" [1] 0.9848133 [1] "Iteration 635 of 1000:" [1] 0.9855774 [1] "Iteration 636 of 1000:" [1] 0.9873891 [1] "Iteration 637 of 1000:" [1] 0.987681 [1] "Iteration 638 of 1000:" [1] 0.985258 [1] "Iteration 639 of 1000:" [1] 0.9871599 [1] "Iteration 640 of 1000:" [1] 0.9873663 [1] "Iteration 641 of 1000:" [1] 0.9877333 [1] "Iteration 642 of 1000:" [1] 0.9858688 [1] "Iteration 643 of 1000:" [1] 0.9872082 [1] "Iteration 644 of 1000:" [1] 0.9858037 [1] "Iteration 645 of 1000:" [1] 0.9864541 [1] "Iteration 646 of 1000:" [1] 0.9851508 [1] "Iteration 647 of 1000:" [1] 0.9872832 [1] "Iteration 648 of 1000:" [1] 0.988593 [1] "Iteration 649 of 1000:" [1] 0.9857013 [1] "Iteration 650 of 1000:" [1] 0.986292 [1] "Iteration 651 of 1000:" [1] 0.9852672 [1] "Iteration 652 of 1000:" [1] 0.987789 [1] "Iteration 653 of 1000:" [1] 0.9872282 [1] "Iteration 654 of 1000:" [1] 0.9849164 [1] "Iteration 655 of 1000:" [1] 0.9870702 [1] "Iteration 656 of 1000:" [1] 0.9874232 [1] "Iteration 657 of 1000:" [1] 0.9881116 [1] "Iteration 658 of 1000:" [1] 0.9878565 [1] "Iteration 659 of 1000:" [1] 0.9870293 [1] "Iteration 660 of 1000:" [1] 0.9877181 [1] "Iteration 661 of 1000:" [1] 0.9854684 [1] "Iteration 662 of 1000:" [1] 0.9877325 [1] "Iteration 663 of 1000:" [1] 0.98524 [1] "Iteration 664 of 1000:" [1] 0.9855249 [1] "Iteration 665 of 1000:" [1] 0.9868483 [1] "Iteration 666 of 1000:" [1] 0.9876892 [1] "Iteration 667 of 1000:" [1] 0.9867482 [1] "Iteration 668 of 1000:" [1] 0.9874059 [1] "Iteration 669 of 1000:" [1] 0.9877609 [1] "Iteration 670 of 1000:" [1] 0.9866801 [1] "Iteration 671 of 1000:" [1] 0.9874019 [1] "Iteration 672 of 1000:" [1] 0.9875951 [1] "Iteration 673 of 1000:" [1] 0.9865363 [1] "Iteration 674 of 1000:" [1] 0.9873865 [1] "Iteration 675 of 1000:" [1] 0.9849751 [1] "Iteration 676 of 1000:" [1] 0.9876774 [1] "Iteration 677 of 1000:" [1] 0.9867764 [1] "Iteration 678 of 1000:" [1] 0.9873803 [1] "Iteration 679 of 1000:" [1] 0.9851995 [1] "Iteration 680 of 1000:" [1] 0.9866377 [1] "Iteration 681 of 1000:" [1] 0.9861295 [1] "Iteration 682 of 1000:" [1] 0.9876946 [1] "Iteration 683 of 1000:" [1] 0.9871655 [1] "Iteration 684 of 1000:" [1] 0.9875982 [1] "Iteration 685 of 1000:" [1] 0.9879794 [1] "Iteration 686 of 1000:" [1] 0.9871575 [1] "Iteration 687 of 1000:" [1] 0.9852981 [1] "Iteration 688 of 1000:" [1] 0.986292 [1] "Iteration 689 of 1000:" [1] 0.9872383 [1] "Iteration 690 of 1000:" [1] 0.9875131 [1] "Iteration 691 of 1000:" [1] 0.9862121 [1] "Iteration 692 of 1000:" [1] 0.9875189 [1] "Iteration 693 of 1000:" [1] 0.9853865 [1] "Iteration 694 of 1000:" [1] 0.9849767 [1] "Iteration 695 of 1000:" [1] 0.9871758 [1] "Iteration 696 of 1000:" [1] 0.9866993 [1] "Iteration 697 of 1000:" [1] 0.9875647 [1] "Iteration 698 of 1000:" [1] 0.9873494 [1] "Iteration 699 of 1000:" [1] 0.9879773 [1] "Iteration 700 of 1000:" [1] 0.9852669 [1] "Iteration 701 of 1000:" [1] 0.9878696 [1] "Iteration 702 of 1000:" [1] 0.9875995 [1] "Iteration 703 of 1000:" [1] 0.9849968 [1] "Iteration 704 of 1000:" [1] 0.9852947 [1] "Iteration 705 of 1000:" [1] 0.9867166 [1] "Iteration 706 of 1000:" [1] 0.9872073 [1] "Iteration 707 of 1000:" [1] 0.987745 [1] "Iteration 708 of 1000:" [1] 0.9885986 [1] "Iteration 709 of 1000:" [1] 0.9870482 [1] "Iteration 710 of 1000:" [1] 0.9855753 [1] "Iteration 711 of 1000:" [1] 0.9874187 [1] "Iteration 712 of 1000:" [1] 0.9858938 [1] "Iteration 713 of 1000:" [1] 0.9869769 [1] "Iteration 714 of 1000:" [1] 0.9888085 [1] "Iteration 715 of 1000:" [1] 0.9877359 [1] "Iteration 716 of 1000:" [1] 0.986644 [1] "Iteration 717 of 1000:" [1] 0.9837467 [1] "Iteration 718 of 1000:" [1] 0.9877039 [1] "Iteration 719 of 1000:" [1] 0.9856398 [1] "Iteration 720 of 1000:" [1] 0.9875402 [1] "Iteration 721 of 1000:" [1] 0.9885895 [1] "Iteration 722 of 1000:" [1] 0.9870796 [1] "Iteration 723 of 1000:" [1] 0.9866522 [1] "Iteration 724 of 1000:" [1] 0.9860595 [1] "Iteration 725 of 1000:" [1] 0.9860835 [1] "Iteration 726 of 1000:" [1] 0.9875399 [1] "Iteration 727 of 1000:" [1] 0.9868785 [1] "Iteration 728 of 1000:" [1] 0.9877104 [1] "Iteration 729 of 1000:" [1] 0.9848162 [1] "Iteration 730 of 1000:" [1] 0.9888232 [1] "Iteration 731 of 1000:" [1] 0.9847018 [1] "Iteration 732 of 1000:" [1] 0.9880109 [1] "Iteration 733 of 1000:" [1] 0.9849789 [1] "Iteration 734 of 1000:" [1] 0.9861 [1] "Iteration 735 of 1000:" [1] 0.9877615 [1] "Iteration 736 of 1000:" [1] 0.9881636 [1] "Iteration 737 of 1000:" [1] 0.9884668 [1] "Iteration 738 of 1000:" [1] 0.9876925 [1] "Iteration 739 of 1000:" [1] 0.9871507 [1] "Iteration 740 of 1000:" [1] 0.9854178 [1] "Iteration 741 of 1000:" [1] 0.985323 [1] "Iteration 742 of 1000:" [1] 0.9869806 [1] "Iteration 743 of 1000:" [1] 0.9879434 [1] "Iteration 744 of 1000:" [1] 0.9864601 [1] "Iteration 745 of 1000:" [1] 0.9878912 [1] "Iteration 746 of 1000:" [1] 0.9854921 [1] "Iteration 747 of 1000:" [1] 0.9872817 [1] "Iteration 748 of 1000:" [1] 0.9870484 [1] "Iteration 749 of 1000:" [1] 0.9871004 [1] "Iteration 750 of 1000:" [1] 0.9887197 [1] "Iteration 751 of 1000:" [1] 0.9875461 [1] "Iteration 752 of 1000:" [1] 0.9858983 [1] "Iteration 753 of 1000:" [1] 0.9885816 [1] "Iteration 754 of 1000:" [1] 0.9881993 [1] "Iteration 755 of 1000:" [1] 0.9866334 [1] "Iteration 756 of 1000:" [1] 0.9847149 [1] "Iteration 757 of 1000:" [1] 0.9878366 [1] "Iteration 758 of 1000:" [1] 0.9858056 [1] "Iteration 759 of 1000:" [1] 0.9877727 [1] "Iteration 760 of 1000:" [1] 0.9855876 [1] "Iteration 761 of 1000:" [1] 0.9856528 [1] "Iteration 762 of 1000:" [1] 0.9852672 [1] "Iteration 763 of 1000:" [1] 0.9857946 [1] "Iteration 764 of 1000:" [1] 0.9849265 [1] "Iteration 765 of 1000:" [1] 0.9876726 [1] "Iteration 766 of 1000:" [1] 0.9876047 [1] "Iteration 767 of 1000:" [1] 0.9878147 [1] "Iteration 768 of 1000:" [1] 0.9874195 [1] "Iteration 769 of 1000:" [1] 0.9852454 [1] "Iteration 770 of 1000:" [1] 0.9862405 [1] "Iteration 771 of 1000:" [1] 0.9877588 [1] "Iteration 772 of 1000:" [1] 0.9859798 [1] "Iteration 773 of 1000:" [1] 0.987803 [1] "Iteration 774 of 1000:" [1] 0.9853987 [1] "Iteration 775 of 1000:" [1] 0.9856365 [1] "Iteration 776 of 1000:" [1] 0.9879084 [1] "Iteration 777 of 1000:" [1] 0.9860909 [1] "Iteration 778 of 1000:" [1] 0.9874725 [1] "Iteration 779 of 1000:" [1] 0.9880844 [1] "Iteration 780 of 1000:" [1] 0.9876955 [1] "Iteration 781 of 1000:" [1] 0.9875686 [1] "Iteration 782 of 1000:" [1] 0.9872773 [1] "Iteration 783 of 1000:" [1] 0.9874166 [1] "Iteration 784 of 1000:" [1] 0.9868964 [1] "Iteration 785 of 1000:" [1] 0.9869338 [1] "Iteration 786 of 1000:" [1] 0.9861376 [1] "Iteration 787 of 1000:" [1] 0.9870222 [1] "Iteration 788 of 1000:" [1] 0.9853977 [1] "Iteration 789 of 1000:" [1] 0.9872057 [1] "Iteration 790 of 1000:" [1] 0.9873663 [1] "Iteration 791 of 1000:" [1] 0.9865096 [1] "Iteration 792 of 1000:" [1] 0.9866392 [1] "Iteration 793 of 1000:" [1] 0.9874618 [1] "Iteration 794 of 1000:" [1] 0.9888117 [1] "Iteration 795 of 1000:" [1] 0.984772 [1] "Iteration 796 of 1000:" [1] 0.9874244 [1] "Iteration 797 of 1000:" [1] 0.9859574 [1] "Iteration 798 of 1000:" [1] 0.9879135 [1] "Iteration 799 of 1000:" [1] 0.9875034 [1] "Iteration 800 of 1000:" [1] 0.9860433 [1] "Iteration 801 of 1000:" [1] 0.9866268 [1] "Iteration 802 of 1000:" [1] 0.9872051 [1] "Iteration 803 of 1000:" [1] 0.9877579 [1] "Iteration 804 of 1000:" [1] 0.9861121 [1] "Iteration 805 of 1000:" [1] 0.9865593 [1] "Iteration 806 of 1000:" [1] 0.9878197 [1] "Iteration 807 of 1000:" [1] 0.9854765 [1] "Iteration 808 of 1000:" [1] 0.9866129 [1] "Iteration 809 of 1000:" [1] 0.9872541 [1] "Iteration 810 of 1000:" [1] 0.9874896 [1] "Iteration 811 of 1000:" [1] 0.9860111 [1] "Iteration 812 of 1000:" [1] 0.9861066 [1] "Iteration 813 of 1000:" [1] 0.9858937 [1] "Iteration 814 of 1000:" [1] 0.9857045 [1] "Iteration 815 of 1000:" [1] 0.9855933 [1] "Iteration 816 of 1000:" [1] 0.987534 [1] "Iteration 817 of 1000:" [1] 0.9889106 [1] "Iteration 818 of 1000:" [1] 0.987326 [1] "Iteration 819 of 1000:" [1] 0.9874866 [1] "Iteration 820 of 1000:" [1] 0.9869468 [1] "Iteration 821 of 1000:" [1] 0.9875778 [1] "Iteration 822 of 1000:" [1] 0.9856344 [1] "Iteration 823 of 1000:" [1] 0.9878792 [1] "Iteration 824 of 1000:" [1] 0.9852676 [1] "Iteration 825 of 1000:" [1] 0.9854726 [1] "Iteration 826 of 1000:" [1] 0.9870086 [1] "Iteration 827 of 1000:" [1] 0.986634 [1] "Iteration 828 of 1000:" [1] 0.9880983 [1] "Iteration 829 of 1000:" [1] 0.9843782 [1] "Iteration 830 of 1000:" [1] 0.9877601 [1] "Iteration 831 of 1000:" [1] 0.9876611 [1] "Iteration 832 of 1000:" [1] 0.9869863 [1] "Iteration 833 of 1000:" [1] 0.987534 [1] "Iteration 834 of 1000:" [1] 0.9878498 [1] "Iteration 835 of 1000:" [1] 0.9872647 [1] "Iteration 836 of 1000:" [1] 0.9862151 [1] "Iteration 837 of 1000:" [1] 0.9863817 [1] "Iteration 838 of 1000:" [1] 0.9875073 [1] "Iteration 839 of 1000:" [1] 0.9859222 [1] "Iteration 840 of 1000:" [1] 0.9886744 [1] "Iteration 841 of 1000:" [1] 0.9867538 [1] "Iteration 842 of 1000:" [1] 0.9887464 [1] "Iteration 843 of 1000:" [1] 0.988072 [1] "Iteration 844 of 1000:" [1] 0.9877165 [1] "Iteration 845 of 1000:" [1] 0.9874807 [1] "Iteration 846 of 1000:" [1] 0.9855016 [1] "Iteration 847 of 1000:" [1] 0.9869516 [1] "Iteration 848 of 1000:" [1] 0.9848029 [1] "Iteration 849 of 1000:" [1] 0.987678 [1] "Iteration 850 of 1000:" [1] 0.9877786 [1] "Iteration 851 of 1000:" [1] 0.9866121 [1] "Iteration 852 of 1000:" [1] 0.9875223 [1] "Iteration 853 of 1000:" [1] 0.9860273 [1] "Iteration 854 of 1000:" [1] 0.98716 [1] "Iteration 855 of 1000:" [1] 0.9869669 [1] "Iteration 856 of 1000:" [1] 0.9860902 [1] "Iteration 857 of 1000:" [1] 0.9874144 [1] "Iteration 858 of 1000:" [1] 0.9875661 [1] "Iteration 859 of 1000:" [1] 0.9850305 [1] "Iteration 860 of 1000:" [1] 0.9861422 [1] "Iteration 861 of 1000:" [1] 0.9873044 [1] "Iteration 862 of 1000:" [1] 0.9878242 [1] "Iteration 863 of 1000:" [1] 0.9856565 [1] "Iteration 864 of 1000:" [1] 0.9857198 [1] "Iteration 865 of 1000:" [1] 0.9873421 [1] "Iteration 866 of 1000:" [1] 0.9876927 [1] "Iteration 867 of 1000:" [1] 0.9849192 [1] "Iteration 868 of 1000:" [1] 0.985555 [1] "Iteration 869 of 1000:" [1] 0.9863119 [1] "Iteration 870 of 1000:" [1] 0.9866512 [1] "Iteration 871 of 1000:" [1] 0.9880283 [1] "Iteration 872 of 1000:" [1] 0.9850188 [1] "Iteration 873 of 1000:" [1] 0.987214 [1] "Iteration 874 of 1000:" [1] 0.9863153 [1] "Iteration 875 of 1000:" [1] 0.986662 [1] "Iteration 876 of 1000:" [1] 0.9871794 [1] "Iteration 877 of 1000:" [1] 0.986708 [1] "Iteration 878 of 1000:" [1] 0.9877707 [1] "Iteration 879 of 1000:" [1] 0.9866132 [1] "Iteration 880 of 1000:" [1] 0.9845728 [1] "Iteration 881 of 1000:" [1] 0.9857718 [1] "Iteration 882 of 1000:" [1] 0.9865326 [1] "Iteration 883 of 1000:" [1] 0.9866712 [1] "Iteration 884 of 1000:" [1] 0.9858582 [1] "Iteration 885 of 1000:" [1] 0.9855441 [1] "Iteration 886 of 1000:" [1] 0.9872613 [1] "Iteration 887 of 1000:" [1] 0.9874738 [1] "Iteration 888 of 1000:" [1] 0.9839166 [1] "Iteration 889 of 1000:" [1] 0.985276 [1] "Iteration 890 of 1000:" [1] 0.9876234 [1] "Iteration 891 of 1000:" [1] 0.9873195 [1] "Iteration 892 of 1000:" [1] 0.988244 [1] "Iteration 893 of 1000:" [1] 0.9861834 [1] "Iteration 894 of 1000:" [1] 0.9858472 [1] "Iteration 895 of 1000:" [1] 0.987293 [1] "Iteration 896 of 1000:" [1] 0.9855946 [1] "Iteration 897 of 1000:" [1] 0.9876073 [1] "Iteration 898 of 1000:" [1] 0.9875489 [1] "Iteration 899 of 1000:" [1] 0.9850686 [1] "Iteration 900 of 1000:" [1] 0.9874945 [1] "Iteration 901 of 1000:" [1] 0.9856037 [1] "Iteration 902 of 1000:" [1] 0.9856702 [1] "Iteration 903 of 1000:" [1] 0.9856365 [1] "Iteration 904 of 1000:" [1] 0.9849713 [1] "Iteration 905 of 1000:" [1] 0.9861672 [1] "Iteration 906 of 1000:" [1] 0.9876979 [1] "Iteration 907 of 1000:" [1] 0.9851232 [1] "Iteration 908 of 1000:" [1] 0.9848349 [1] "Iteration 909 of 1000:" [1] 0.9866662 [1] "Iteration 910 of 1000:" [1] 0.9866866 [1] "Iteration 911 of 1000:" [1] 0.9876259 [1] "Iteration 912 of 1000:" [1] 0.9884651 [1] "Iteration 913 of 1000:" [1] 0.986325 [1] "Iteration 914 of 1000:" [1] 0.9882013 [1] "Iteration 915 of 1000:" [1] 0.9862598 [1] "Iteration 916 of 1000:" [1] 0.9871478 [1] "Iteration 917 of 1000:" [1] 0.9864945 [1] "Iteration 918 of 1000:" [1] 0.9875473 [1] "Iteration 919 of 1000:" [1] 0.9875137 [1] "Iteration 920 of 1000:" [1] 0.9853243 [1] "Iteration 921 of 1000:" [1] 0.9864147 [1] "Iteration 922 of 1000:" [1] 0.9857325 [1] "Iteration 923 of 1000:" [1] 0.9868869 [1] "Iteration 924 of 1000:" [1] 0.9847793 [1] "Iteration 925 of 1000:" [1] 0.9857646 [1] "Iteration 926 of 1000:" [1] 0.9868009 [1] "Iteration 927 of 1000:" [1] 0.9870829 [1] "Iteration 928 of 1000:" [1] 0.9878433 [1] "Iteration 929 of 1000:" [1] 0.9873564 [1] "Iteration 930 of 1000:" [1] 0.9875889 [1] "Iteration 931 of 1000:" [1] 0.9858621 [1] "Iteration 932 of 1000:" [1] 0.988283 [1] "Iteration 933 of 1000:" [1] 0.9875389 [1] "Iteration 934 of 1000:" [1] 0.9875601 [1] "Iteration 935 of 1000:" [1] 0.987464 [1] "Iteration 936 of 1000:" [1] 0.9863224 [1] "Iteration 937 of 1000:" [1] 0.9856525 [1] "Iteration 938 of 1000:" [1] 0.987403 [1] "Iteration 939 of 1000:" [1] 0.9872048 [1] "Iteration 940 of 1000:" [1] 0.9858687 [1] "Iteration 941 of 1000:" [1] 0.9864767 [1] "Iteration 942 of 1000:" [1] 0.987515 [1] "Iteration 943 of 1000:" [1] 0.9851825 [1] "Iteration 944 of 1000:" [1] 0.9852018 [1] "Iteration 945 of 1000:" [1] 0.9871171 [1] "Iteration 946 of 1000:" [1] 0.9857788 [1] "Iteration 947 of 1000:" [1] 0.987305 [1] "Iteration 948 of 1000:" [1] 0.9835037 [1] "Iteration 949 of 1000:" [1] 0.9852855 [1] "Iteration 950 of 1000:" [1] 0.9873208 [1] "Iteration 951 of 1000:" [1] 0.9850232 [1] "Iteration 952 of 1000:" [1] 0.9869858 [1] "Iteration 953 of 1000:" [1] 0.9845818 [1] "Iteration 954 of 1000:" [1] 0.9874666 [1] "Iteration 955 of 1000:" [1] 0.9859168 [1] "Iteration 956 of 1000:" [1] 0.9886525 [1] "Iteration 957 of 1000:" [1] 0.9871503 [1] "Iteration 958 of 1000:" [1] 0.9860565 [1] "Iteration 959 of 1000:" [1] 0.9858383 [1] "Iteration 960 of 1000:" [1] 0.987868 [1] "Iteration 961 of 1000:" [1] 0.9844077 [1] "Iteration 962 of 1000:" [1] 0.9861538 [1] "Iteration 963 of 1000:" [1] 0.9870469 [1] "Iteration 964 of 1000:" [1] 0.9850981 [1] "Iteration 965 of 1000:" [1] 0.985319 [1] "Iteration 966 of 1000:" [1] 0.9855182 [1] "Iteration 967 of 1000:" [1] 0.9807989 [1] "Iteration 968 of 1000:" [1] 0.98739 [1] "Iteration 969 of 1000:" [1] 0.9877005 [1] "Iteration 970 of 1000:" [1] 0.9847345 [1] "Iteration 971 of 1000:" [1] 0.9871596 [1] "Iteration 972 of 1000:" [1] 0.9883341 [1] "Iteration 973 of 1000:" [1] 0.9880097 [1] "Iteration 974 of 1000:" [1] 0.9878826 [1] "Iteration 975 of 1000:" [1] 0.9868304 [1] "Iteration 976 of 1000:" [1] 0.9889257 [1] "Iteration 977 of 1000:" [1] 0.9872653 [1] "Iteration 978 of 1000:" [1] 0.9873273 [1] "Iteration 979 of 1000:" [1] 0.9860714 [1] "Iteration 980 of 1000:" [1] 0.9872966 [1] "Iteration 981 of 1000:" [1] 0.9866082 [1] "Iteration 982 of 1000:" [1] 0.9857258 [1] "Iteration 983 of 1000:" [1] 0.9859767 [1] "Iteration 984 of 1000:" [1] 0.9872548 [1] "Iteration 985 of 1000:" [1] 0.987662 [1] "Iteration 986 of 1000:" [1] 0.9858541 [1] "Iteration 987 of 1000:" [1] 0.9881353 [1] "Iteration 988 of 1000:" [1] 0.9848652 [1] "Iteration 989 of 1000:" [1] 0.9879396 [1] "Iteration 990 of 1000:" [1] 0.986238 [1] "Iteration 991 of 1000:" [1] 0.9879775 [1] "Iteration 992 of 1000:" [1] 0.9857434 [1] "Iteration 993 of 1000:" [1] 0.9870872 [1] "Iteration 994 of 1000:" [1] 0.9844035 [1] "Iteration 995 of 1000:" [1] 0.9879915 [1] "Iteration 996 of 1000:" [1] 0.9855758 [1] "Iteration 997 of 1000:" [1] 0.9874945 [1] "Iteration 998 of 1000:" [1] 0.9874024 [1] "Iteration 999 of 1000:" [1] 0.9874884 [1] "Iteration 1000 of 1000:" [1] 0.9851699 [ FAIL 0 | WARN 0 | SKIP 0 | PASS 9 ] > > proc.time() user system elapsed 4430.39 24.25 4454.65