R Under development (unstable) (2026-02-10 r89394 ucrt) -- "Unsuffered Consequences"
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> if(!require("BB"))stop("this test requires package BB.")
Loading required package: BB
> if(!require("setRNG"))stop("this test requires setRNG.")
Loading required package: setRNG
> 
> # Use a preset seed so test values are reproducable. 
> test.rng <- list(kind="Mersenne-Twister", normal.kind="Inversion", seed=1234)
> old.seed <- setRNG(test.rng)
> 
> 
> # Brown's almost linear system(A.P. Morgan, ACM 1983)
> brownlin <- function(x) {
+ # two distinct solutions if n is even
+ # three distinct solutions if n is odd
+   	n <- length(x)
+   	f <- rep(NA, n)
+ 	nm1 <- 1:(n-1)
+ 	f[nm1] <- x[nm1] + sum(x) - (n+1)
+ 	f[n] <- prod(x) - 1 
+ 	f
+ }
> 
> p0 <- matrix(rnorm(200), 20, 10)  # 20 starting values, each of length 10
> #ans1 <- dfsane(par=p0[1,], fn=brownlin)
> #ans <- BBsolve(par=p0, fn=brownlin)
> ans <- multiStart(par=p0, fn=brownlin)
Parameter set :  1 ... 
  Successful convergence.
Parameter set :  2 ... 
  Successful convergence.
Parameter set :  3 ... 
  Successful convergence.
Parameter set :  4 ... 
  Successful convergence.
Parameter set :  5 ... 
  Successful convergence.
Parameter set :  6 ... 
  Successful convergence.
Parameter set :  7 ... 
  Successful convergence.
Parameter set :  8 ... 
  Successful convergence.
Parameter set :  9 ... 
  Successful convergence.
Parameter set :  10 ... 
  Successful convergence.
Parameter set :  11 ... 
  Successful convergence.
Parameter set :  12 ... 
  Successful convergence.
Parameter set :  13 ... 
  Successful convergence.
Parameter set :  14 ... 
  Successful convergence.
Parameter set :  15 ... 
  Successful convergence.
Parameter set :  16 ... 
  Successful convergence.
Parameter set :  17 ... 
  Successful convergence.
Parameter set :  18 ... 
  Successful convergence.
Parameter set :  19 ... 
  Successful convergence.
Parameter set :  20 ... 
  Successful convergence.
> 
> #ans$par
> 
> #pc <- princomp(ans$par) 
> #plot(pc$scores[,1])  # plot shows two/three distinct solutions depending on n is even/odd
> 
> 
> # ans$convergence
>  
> z <- sum(ans$par)
> good   <-    200.2262649045772
> #on Windows 
> #on Linux64  200.205695196736
> #on Linux32  200.2262649045772
> print(z, digits=16)
[1] 200.1851255860637
> if(any(abs(good - z) > 5e-1)) stop("BB test BBsolve Brownln FAILED")
> 
> proc.time()
   user  system elapsed 
   0.37    0.06    0.40