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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www.eeworm.com/read/443209/7636197

m bg_pso.m

%% Tunning of PID controller using Bacterial Foraging Orientec by Particle swarm optimization % % %My work has been accpepted in GECCO 2008 as Graduat Student workshop. I %have used this techique
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www.eeworm.com/read/438673/7728490

makefile

# DO NOT DELETE THIS LINE -- make depend depends on it. # Edit the lines below to point to any needed include and link paths # Or to change the compiler's optimization flags CC = g++ COMPILEFLAGS =
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www.eeworm.com/read/250888/7806390

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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www.eeworm.com/read/299178/7881322

m optimget.m

function o = optimget(options,name,default,flag) %OPTIMGET Get OPTIM OPTIONS parameters. % VAL = OPTIMGET(OPTIONS,'NAME') extracts the value of the named parameter % from optimization options s
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www.eeworm.com/read/296909/8072797

m cantilever_beam_norec.m

% Exercise 4.31: Design of a cantilever beam (non-recursive formulation) % (For a detailed explanation see section 4.5.4, pp. 163-165) % Boyd & Vandenberghe "Convex Optimization" % (a figure is genera
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www.eeworm.com/read/143706/12849695

m contents.m

% Netlab Toolbox % Version 3.2.1 31-Oct-2001 % % conffig - Display a confusion matrix. % confmat - Compute a confusion matrix. % conjgrad - Conjugate gradients optimization. % consist - Ch
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www.eeworm.com/read/143706/12849776

m graddesc.m

function [x, options, flog, pointlog] = graddesc(f, x, options, gradf, ... varargin) %GRADDESC Gradient descent optimization. % % Description % [X, OPTIONS, FLOG, POINTLOG] = GRADDESC(F, X, OPTIONS
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www.eeworm.com/read/244097/12888220

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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www.eeworm.com/read/140851/13059120

m graddesc.m

function [x, options, flog, pointlog] = graddesc(f, x, options, gradf, ... varargin) %GRADDESC Gradient descent optimization. % % Description % [X, OPTIONS, FLOG, POINTLOG] = GRADDESC(F, X, OP
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