1Simplex(3)            User Contributed Perl Documentation           Simplex(3)
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NAME

6       PDL::Opt::Simplex -- Simplex optimization routines
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SYNOPSIS

9        use PDL::Opt::Simplex;
10
11        ($optimum,$ssize) = simplex($init,$initsize,$minsize,
12                        $maxiter,
13                        sub {evaluate_func_at($_[0])},
14                        sub {display_simplex($_[0])}
15                        );
16

DESCRIPTION

18       This package implements the commonly used simplex optimization
19       algorithm. The basic idea of the algorithm is to move a "simplex" of
20       N+1 points in the N-dimensional search space according to certain
21       rules. The main benefit of the algorithm is that you do not need to
22       calculate the derivatives of your function.
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24       $init is a 1D vector holding the initial values of the N fitted
25       parameters, $optimum is a vector holding the final solution.
26
27       $initsize is the size of $init (more...)
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29       $minsize is some sort of convergence criterion (more...)  - e.g.
30       $minsize = 1e-6
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32       The sub is assumed to understand more than 1 dimensions and threading.
33       Its signature is 'inp(nparams); [ret]out()'. An example would be
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35               sub evaluate_func_at {
36                       my($xv) = @_;
37                       my $x1 = $xv->slice("(0)");
38                       my $x2 = $xv->slice("(1)");
39                       return $x1**4 + ($x2-5)**4 + $x1*$x2;
40               }
41
42       Here $xv is a vector holding the current values of the parameters being
43       fitted which are then sliced out explicitly as $x1 and $x2.
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45       $ssize gives a very very approximate estimate of how close we might be
46       - it might be miles wrong. It is the euclidean distance between the
47       best and the worst vertices. If it is not very small, the algorithm has
48       not converged.
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FUNCTIONS

51   simplex
52       Simplex optimization routine
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54        ($optimum,$ssize) = simplex($init,$initsize,$minsize,
55                        $maxiter,
56                        sub {evaluate_func_at($_[0])},
57                        sub {display_simplex($_[0])}
58                        );
59
60       See module "PDL::Opt::Simplex" for more information.
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CAVEATS

63       Do not use the simplex method if your function has local minima.  It
64       will not work. Use genetic algorithms or simulated annealing or
65       conjugate gradient or momentum gradient descent.
66
67       They will not really work either but they are not guaranteed not to
68       work ;) (if you have infinite time, simulated annealing is guaranteed
69       to work but only after it has visited every point in your space).
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SEE ALSO

72       Ron Shaffer's chemometrics web page and references therein:
73       "http://chem1.nrl.navy.mil/~shaffer/chemoweb.html".
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75       Numerical Recipes (bla bla bla XXX ref).
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77       The demonstration (Examples/Simplex/tsimp.pl and tsimp2.pl).
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AUTHOR

80       Copyright(C) 1997 Tuomas J. Lukka.  All rights reserved. There is no
81       warranty. You are allowed to redistribute this software / documentation
82       under certain conditions. For details, see the file COPYING in the PDL
83       distribution. If this file is separated from the PDL distribution, the
84       copyright notice should be included in the file.
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88perl v5.12.3                      2009-10-17                        Simplex(3)
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