#****************************************************************************** # Copyright (c) 2016, College of William & Mary # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of the College of William & Mary nor the # names of its contributors may be used to endorse or promote products # derived from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COLLEGE OF WILLIAM & MARY BE LIABLE FOR ANY # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # # PRIMME: https://github.com/primme/primme # Contact: Andreas Stathopoulos, a n d r e a s _at_ c s . w m . e d u #****************************************************************************** # File: tests.R # # Purpose - Test functions provided by the library # #***************************************************************************** require(PRIMME) # Test for dense and sparse matrices As <- list(diag(1:100), diag(as.complex(1:100))); if (requireNamespace("Matrix", quietly = TRUE)) As[[3]] <- Matrix::Matrix(diag(1:100), sparse=TRUE); for (i in 1:length(As)) { A = As[[i]]; d <- eigs_sym(A, 3); stopifnot(all.equal(c(100,99,98), d$values, tolerance=1e-7)); d <- svds(A, 3); stopifnot(all.equal(c(100,99,98), d$d, tolerance=1e-7)); }