代码搜索：Gradient
找到约 2,951 项符合「Gradient」的源代码
代码结果 2,951
www.eeworm.com/read/119076/14841609
pas teethemes.pas
{*******************************************}
{ TeeChart Pro visual Themes }
{ Copyright (c) 2003-2004 by David Berneda }
{ All Rights Reserved }
{***********
www.eeworm.com/read/220289/14843747
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
www.eeworm.com/read/220289/14843811
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
www.eeworm.com/read/117961/14892544
h graphic.h
/////////////////////////////////////////////////////////////
// Flash Plugin and Player
// Copyright (C) 1998 Olivier Debon
//
// This program is free software; you can redistribute it and/or
// mod
www.eeworm.com/read/216389/15015247
txt 08-22.txt
%例8-22 使用quiver函数绘制箭头图形。
>> % 该程序用于绘制箭头图形
>> [x,y] = meshgrid(-2:.2:2,-1:.15:1);
>> z = x .* exp(-x.^2 + y.^2);
>> [px,py] = gradient(z,.2,.15);
>> contour(x,y,z)
>>hold on
>> quiver(x,y,px
www.eeworm.com/read/216389/15015405
txt 06-22.txt
例6-22 使用gradient函数求近似梯度。
解：在命令窗口中输入如下命令，并按Enter键确认。
>> [x,y] = meshgrid(-2:.2:2, -2:.2:2);
>> z = x .* exp(-x.^2 - y.^2);
>> [px,py] = gradient(z,.2,.2);
>> contour(z)
>> hold on
>> quiver(px,
www.eeworm.com/read/215382/15062508
m quiver531.m
function quiver531
figure(1)
[X,Y] = meshgrid(-2:.2:2);
Z = X.*exp(-X.^2 - Y.^2);
[DX,DY] = gradient(Z,.2,.2);
contour(X,Y,Z)
hold on
quiver(X,Y,DX,DY)
www.eeworm.com/read/212376/15157159
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)
www.eeworm.com/read/212376/15157221
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
www.eeworm.com/read/212307/15160054
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