代码搜索：Gradient

找到约 2,951 项符合「Gradient」的源代码

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m rbfgrad.m

function [g, gdata, gprior] = rbfgrad(net, x, t) %RBFGRAD Evaluate gradient of error function for RBF network. % % Description % G = RBFGRAD(NET, X, T) takes a network data structure NET together % wi
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www.eeworm.com/read/449138/1680929

c test05-cxx.c

#include #include int main() { try { SWFMovie *m = new SWFMovie(8); SWFGradient *g = new SWFGradient(); g->setSpreadMode(SWF_GRADIENT_REPEAT); g->setInterpolationMode(S
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www.eeworm.com/read/449138/1680932

c test06-cxx.c

#include #include int main() { try { SWFMovie *m = new SWFMovie(8); SWFGradient *g = new SWFGradient(); g->setSpreadMode(SWF_GRADIENT_REPEAT); g->setInterpolationMode(S
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www.eeworm.com/read/396844/2406741

m rbfgrad.m

function [g, gdata, gprior] = rbfgrad(net, x, t) %RBFGRAD Evaluate gradient of error function for RBF network. % % Description % G = RBFGRAD(NET, X, T) takes a network data structure NET together % wi
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www.eeworm.com/read/388185/2551340

m roseng.m

function f = roseng(x,infoz,stat,junk) % Gradient of Rosenbrock's function % % Used in ROSEN_D, a demo for MINZ % infoz, stat, and junk are needed by functions called by MINZ f = [-400*x(1)*(x
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www.eeworm.com/read/369958/2788108

m gradwbfixed.m

function [grad] = gradwbfixed(Sigma,indsup,Alpsup,w0,C,Xapp,yapp,Sigmaold,pow); %GRADWBFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW % GRAD = GRADWBFIXED(SIGMA,INDSUP,ALPS
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www.eeworm.com/read/359369/2978543

m mlpgrad.m

function [g, gdata, gprior] = mlpgrad(net, x, t) %MLPGRAD Evaluate gradient of error function for 2-layer network. % % Description % G = MLPGRAD(NET, X, T) takes a network data structure NET
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www.eeworm.com/read/295595/8150713

m gradwbfixed.m

function [grad] = gradwbfixed(Sigma,indsup,Alpsup,w0,C,Xapp,yapp,Sigmaold,pow); %GRADWBFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW % GRAD = GRADWBFIXED(SIGMA,INDSUP,ALPS
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www.eeworm.com/read/393865/8257735

m gradwbfixed.m

function [grad] = gradwbfixed(Sigma,indsup,Alpsup,w0,C,Xapp,yapp,Sigmaold,pow); %GRADWBFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW % GRAD = GRADWBFIXED(SIGMA,INDSUP,ALPS
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www.eeworm.com/read/265706/11256027

m costfmin.m

function [f,df,ddf] = costfmin(x, baseMVA, bus, gen, gencost, branch, areas, Ybus, Yf, Yt, mpopt, parms, ccost) %COSTFMIN Evaluates objective function, gradient and Hessian for OPF. % [f, df, ddf]
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