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/367152/9779998
m lans_plotgrad.m
% lans_plotgrad - Plot gradient in multi-dimensional space
%
% [] = lans_plotgrad(f,dfdq );
%
% _____INPUTS_____________________________________________________________
% f vecto
www.eeworm.com/read/468598/1485808
spiff
toolbar: flat gradient vertical
toolbar.color: rgb:c0/c4/c8
toolbar.colorTo: rgb:a0/a4/a8
toolbar.button: flat gradient vertical
toolbar.button.color: rgb:bc/c0/c4
toolbar.button.colorTo: rg
www.eeworm.com/read/289487/8548523
m lagrangeupdate.m
function [deltAlp,Stepmax] = LagrangeUpdate(DirSigma,Sigma,Xsup,Alpsup,C,pow);
%LAGRANGEUPDATE Compute gradient and maximal change in Lagrange multipliers
% [DELTALP,STEPMAX] = LAGRANGEUPDATE(DI
www.eeworm.com/read/386253/8759991
m alg075.m
% CONJUGATE GRADIENT ALGORITHM 7.5
%
% To solve Ax = b given the preconditioning matrix C inverse
% and an initial approximation
% x(0):
%
% INPUT: the number of equations and unknowns n; the
www.eeworm.com/read/386253/8760187
m alg075.m
% CONJUGATE GRADIENT ALGORITHM 7.5
%
% To solve Ax = b given the preconditioning matrix C inverse
% and an initial approximation
% x(0):
%
% INPUT: the number of equations and unknowns n; the
www.eeworm.com/read/428269/8880199
m lagrangeupdate.m
function [deltAlp,Stepmax] = LagrangeUpdate(DirSigma,Sigma,Xsup,Alpsup,C,pow);
%LAGRANGEUPDATE Compute gradient and maximal change in Lagrange multipliers
% [DELTALP,STEPMAX] = LAGRANGEUPDATE(DI
www.eeworm.com/read/180543/9303149
css classicstyle.css
BODY
{
background-color:#ffffff;
overflow-x:hidden;
filter : progid:DXImageTransform.Microsoft.Gradient (enabled=false);
}
.MenuItemLabel,.MenuItemLabelDisabled,.MenuItemLabelMouseOver
{ /*标
www.eeworm.com/read/166516/10017155
m calcdwf.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function dWf = calcdWf(Wf,ds,dx,hT,K);
global Rx m dsdshT dsdxhT
% calculate the gradient of the objective function
dWf = zeros(ds,dx,
www.eeworm.com/read/165153/10074328
cpp nlinfit.cpp
/* mrqmin.c
This is a roughly self-contained code module for
Levenberg-Marquardt gradient descent iterative minimization
of a nonlinear function.
This started with the Numerical
www.eeworm.com/read/360164/10107953
m calcdwf.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function dWf = calcdWf(Wf,ds,dx,hT,K);
global Rx m dsdshT dsdxhT
% calculate the gradient of the objective function
dWf = zeros(ds,dx,