代码搜索：Gradient

找到约 2,951 项符合「Gradient」的源代码

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www.eeworm.com/read/253950/12173555

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/253950/12173829

htm gpgrad.htm

Netlab Reference Manual gpgrad gpgrad Purpose Evaluate error gradient for Gaussian Process. Synopsis g = gpgrad
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www.eeworm.com/read/151751/12177270

m 6-26.m

[X,Y] = meshgrid(-2:.2:2); Z = X.*exp(-X.^2 - Y.^2); [DX,DY] = gradient(Z,.2,.2); %梯度计算 contour(X,Y,Z) %轮廓图绘制 hold on quiver(X,Y,DX,DY) %箭头图绘制 grid off hold off title '二维箭头图示例'
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www.eeworm.com/read/151608/12188528

m exm07512_1.m

%exm07512_1.m shg;clf; [X,Y] = meshgrid([-2:.2:2]); Z = 4*X.*exp(-X.^2-Y.^2); G=gradient(Z); subplot(1,2,1),surf(X,Y,Z,G) subplot(1,2,2),h=surf(X,Y,Z,G); rotate(h,[-2,-2,0],30,[2,2,0]) colorma
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www.eeworm.com/read/339665/12211246

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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www.eeworm.com/read/339665/12211534

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/339239/12247392

m exm060512_1.m

shg;clf;[X,Y] = meshgrid([-2:.2:2]);Z = 4*X.*exp(-X.^2-Y.^2); G=gradient(Z);subplot(1,2,1),surf(X,Y,Z,G) subplot(1,2,2),h=surf(X,Y,Z,G); rotate(h,[-2,-2,0],30,[2,2,0]),colormap(jet)
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www.eeworm.com/read/339239/12247601

m exm040522_1.m

F=[1,2,3;4,5,6;7,8,9] Dx=diff(F) %相邻行差分 Dx_2=diff(F,1,2) %相邻列差分。第三输入宗量2表示“列”差分。 [FX,FY]=gradient(F) %数据点步长默认为1 [FX_2,FY_2]=gradient(F,0.5) %数据点步长为0.5
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www.eeworm.com/read/150905/12249905

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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www.eeworm.com/read/150905/12250045

htm gpgrad.htm

Netlab Reference Manual gpgrad gpgrad Purpose Evaluate error gradient for Gaussian Process. Synopsis g = gpgrad
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