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m demopt1.m

function demopt1(xinit) %DEMOPT1 Demonstrate different optimisers on Rosenbrock's function. % % Description % The four general optimisers (quasi-Newton, conjugate gradients, % scaled conjugate gradien
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m demopt1.m

function demopt1(xinit) %DEMOPT1 Demonstrate different optimisers on Rosenbrock's function. % % Description % The four general optimisers (quasi-Newton, conjugate gradients, % scaled conjugate gradien
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htm scg.htm

Netlab Reference Manual scg scg Purpose Scaled conjugate gradient optimization. Description [x, options] = scg(
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htm graddesc.htm

Netlab Reference Manual graddesc graddesc Purpose Gradient descent optimization. Description [x, options, flog,
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htm rbfgrad.htm

Netlab Reference Manual rbfgrad rbfgrad Purpose Evaluate gradient of error function for RBF network. Synopsis
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htm olgd.htm

Netlab Reference Manual olgd olgd Purpose On-line gradient descent optimization. Description [net, options, err
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m demopt1.m

function demopt1(xinit) %DEMOPT1 Demonstrate different optimisers on Rosenbrock's function. % % Description % The four general optimisers (quasi-Newton, conjugate gradients, % scaled conjugate gradien
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optima

#! /bin/sh #################################### # # This shell illustrates how the optimization of the stacking # power objective function can be implemented by the COOOL library. # # In the file opti
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texi multimin.texi

@cindex minimization, multidimensional This chapter describes routines for finding minima of arbitrary multidimensional functions. The library provides low level components for a variety of iterativ
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m demopt1.m

function demopt1(xinit) %DEMOPT1 Demonstrate different optimisers on Rosenbrock's function. % % Description % The four general optimisers (quasi-Newton, conjugate gradients, % scaled conjugate gradien
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