代码搜索:optimization

找到约 10,000 项符合「optimization」的源代码

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m trainpso.m

%TRAINPSO Particle Swarm Optimization backpropagation. % % Syntax % % [net,tr,Ac,El] = trainpso(net,Pd,Tl,Ai,Q,TS,VV,TV) % info = trainpso(code) % % Description % % TRAINPSO is a
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c dsputil_mmi.c

/* * MMI optimized DSP utils * Copyright (c) 2000, 2001 Fabrice Bellard. * * MMI optimization by Leon van Stuivenberg * clear_blocks_mmi() by BroadQ * * This file is part of FFmpeg. *
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c resample_mmx.c

// MMX optimizations from Michael Niedermayer (michaelni@gmx.at) (under GPL) /* optimization TODO / NOTES movntq is slightly faster (0.5% with the current test.c benchmark) (but thats just te
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readme-vms-dbg

1) You should be aware that GNU-C, as with any other decent compiler, will do things when optimization is turned on that you may not expect. Sometimes intermediate results are not written to variabl
www.eeworm.com/read/101082/6248960

h optim.h

/* * structure to hold trees for optimization */ typedef struct slt { field type; field flags; short lineno; struct slt *next, *prev; struct slt *nullslot; expptr expr; int label; int
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m dfp.m

% % Ch 6: Numerical Techniques for Unconstrained Optimization % Optimzation with MATLAB, Section 6.3.3 % Davidon Fletcher Powell(DFP) Method % copyright (code) Dr. P.Venkataraman % % An m-fil
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m polyapproximation_1var.m

% % Ch 5: Numerical Techniques - 1 D optimization % Optimzation with MATLAB, Section 5.2.4 % Generic Polynomial Approximation Method - Single Variable % copyright Dr. P.Venkataraman % % An m-
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m polyapprox_1var.m

% % Ch 5: Numerical Techniques - 1 D optimization % Optimzation with MATLAB, Section 5.2.4 % Generic Polynomial Approximation Method - Single Variable % copyright Dr. P.Venkataraman % % An m-
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m dfp.m

% % Ch 6: Numerical Techniques for Unconstrained Optimization % Optimzation with MATLAB, Section 6.3.3 % Davidon Fletcher Powell(DFP) Method % copyright (code) Dr. P.Venkataraman % % An m-fil
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m drawline.m

% Drawing linear constraints for LP programming problems % Dr. P.Venkataraman % Optimization Using Matlab % Chapter 3 - linear Programming % % Lines are represented as: ax + by = c ( c >= 0) % x