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/286354/4039590
dpr gditest82.dpr
program GDITEST82;
uses
Windows,
Messages,
SysUtils,
GDIPAPI,
GDIPOBJ;
// The following example constructs a path gradient brush based on an array of
// points. A color is assi
www.eeworm.com/read/436207/1850611
m fd1.m
function fd_1st_d = fD1(X, D, A, N, d)
% ---------------------------------------------------------------------------
% the gradient of the dissimilarity constraint function w.r.t. A
%
% for exam
www.eeworm.com/read/415218/11080301
c heap.c
/* heap.c
$Id $
----------------------------------------------------------------------
This file is part of SPGL1 (Spectral Projected Gradient for L1).
Copyright (C) 2007 Ewout van den B
www.eeworm.com/read/411401/11246820
m grinprodgausnodequad.m
function int=grinprodgausnodequad(g,I);
%grinprodgausnodequad Computes the gradient part of the system matrix
%in the quadratic basis case. The conductivity is in the linear basis.
% Function int=gr
www.eeworm.com/read/371700/9541167
m computegradientr.m
function [grad] = ComputeGradient(g,y,FreqCycl)
%
% [grad] = ComputeGradient(g,y)
%
% This function compute the gradient of the
% Shalvi Weinstein cost function at point g.
%
% Author : Pierre JALLON
www.eeworm.com/read/371700/9541179
m computegradient.m
function [grad] = ComputeGradient(g,y,FreqCycl)
%
% [grad] = ComputeGradient(g,y)
%
% This function compute the gradient of the
% Shalvi Weinstein cost function at point g.
%
% Author : Pierre JALLON
www.eeworm.com/read/357771/10201271
m berg_algs.m
% this handles the stochastic-gradient-descent CMA algorithms for the
% bergulator, and is called by ui_traj.m
%
% if not available for your platform, you can create a .mex version
% by typing "mex -
www.eeworm.com/read/349902/10786630
tff grad.tff
# TextFileFormat (leave this tag as magic token!)
# TrackMark file format for *.GRAD files (GRADient information)
# GRAD FileVersions supported:
#
# Version: v0.6d
# Build: 7020711
# Date:
www.eeworm.com/read/462153/7208398
m divergence.m
function [divF] = divergence(F,coeff)
% compute the divergence of the gradient of f
% multiplied by a diffusion coefficient
% forward difference scheme
%
% Copyright 2006 Paolo Favaro (p.favaro@h
www.eeworm.com/read/456224/6278714
m conjugategradient.m
%
% Ch 6: Numerical Techniques for Unconstrained Optimization
% Optimzation with MATLAB, Section 6.3.2
% Conjugate Gradient Method
% copyright (code) Dr. P.Venkataraman
%
% An m-file for the