代码搜索:Gradient

找到约 2,951 项符合「Gradient」的源代码

代码结果 2,951
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m gaussgradient.m

function [gx,gy]=gaussgradient(IM,sigma) %GAUSSGRADIENT Gradient using first order derivative of Gaussian. % [gx,gy]=gaussgradient(IM,sigma) outputs the gradient image gx and gy of % image IM usi
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m rosegrad.m

function g = rosegrad(x) %ROSEGRAD Calculate gradient of Rosenbrock's function. % % Description % G = ROSEGRAD(X) computes the gradient of Rosenbrock's function at % each row of X, which should have t
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m rosegrad.m

function g = rosegrad(x) %ROSEGRAD Calculate gradient of Rosenbrock's function. % % Description % G = ROSEGRAD(X) computes the gradient of Rosenbrock's function at % each row of X, which should have t
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m grad_gauss.m

%-------------------------------------------------------------------- % grad_Gauss.m ------------------------------------------------------ % % Computation of the analytical gradient of the error f
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m grad_gauss.m

%-------------------------------------------------------------------- % grad_Gauss.m ------------------------------------------------------ % % Computation of the analytical gradient of the error f
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m grad_jakes.m

%-------------------------------------------------------------------- % grad_Jakes.m ------------------------------------------------------ % % Computation of the analytical gradient of the error f
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m grad_gauss.m

%-------------------------------------------------------------------- % grad_Gauss.m ------------------------------------------------------ % % Computation of the analytical gradient of the error f
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m grad_jakes.m

%-------------------------------------------------------------------- % grad_Jakes.m ------------------------------------------------------ % % Computation of the analytical gradient of the error f
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cpp cg_main.cpp

/*************************************************** * Conjugate Gradient Solver v0.2 * * Programmed by Xiangyu Dong * *-------------------------------------
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m grad_gauss.m

%-------------------------------------------------------------------- % grad_Gauss.m ------------------------------------------------------ % % Computation of the analytical gradient of the error f