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/393013/8315287
asv huituxl.asv
[x,y,z]=peaks(30);
[dx,dy]=gradient(z,.2,.2);
contour(x,y,z)
hold on
quiver(x,y,dx,dy)
colormap autumn
grid off
hold off
www.eeworm.com/read/367307/9758100
pro chapter09morphgradientexample.pro
; Chapter09MorphGradientExample.pro
PRO Chapter09MorphGradientExample
; Prepare the display device
DEVICE, DECOMPOSED = 0, RETAIN = 2
LOADCT, 0
; Select and read in the file.
file = FILEPATH('ma
www.eeworm.com/read/170936/9779166
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/170936/9779268
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/415503/11068200
rc sstrings.rc
#include "..\sstrings.pas"
LANGUAGE LANG_ENGLISH,0
STRINGTABLE
{
s_MsgDlgWarning, "Warning"
s_MsgDlgError, "Error"
s_MsgDlgInformation, "Information"
s_MsgDlgConfirm, "Confirm"
s_Msg
www.eeworm.com/read/415503/11068240
rc sstrings.rc
#include "..\sstrings.pas"
LANGUAGE LANG_DUTCH,5
STRINGTABLE
{
s_MsgDlgWarning, "Waarschuwing"
s_MsgDlgError, "Fout"
s_MsgDlgInformation, "Info"
s_MsgDlgConfirm, "Bevestig"
s_MsgDlgY
www.eeworm.com/read/415313/11076391
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/415313/11076527
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/413912/11137107
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/413912/11137231
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