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/184769/9079813
c push-group.c
/*
* Copyright © 2005 Mozilla Corporation
*
* Permission to use, copy, modify, distribute, and sell this software
* and its documentation for any purpose is hereby granted without
* fee, provided
www.eeworm.com/read/164539/10103878
asp cxresult2.asp
vti_encoding:SR|utf8-nl
vti_timelastmodified:TR|06 Nov 2001 02:45:23 -0000
vti_extenderversion:SR|4.0.2.3406
vti_cacheddtm:TX|06 Nov 2001 02:45:23 -0000
vti_filesize:IR|8350
vti_cachedlinkinfo:VX
www.eeworm.com/read/396828/8088138
m trainfcn_snn.m
function trainfcn_snn()
%TRAINFCN_SNN Train functions.
%
% In the SNN netpack toolbox, the following
% training algorithms are implemented:
%
% TRAINGD_SNN - Train with gradient descent.
% TRAINCG
www.eeworm.com/read/211524/15178876
m vsnlms.m
function [input_signal, error_signal, desired_signal, filter_output, impulse, filter_current, mse, db, db_avg]=VSNLMS(filter_size, p, ss_lower, input_file, iterations)
% Function to perform the VSNLM
www.eeworm.com/read/456224/6278848
m sec7_3_4.m
% Applied Optimization with MATLAB
% Dr. P.Venkataraman
% Chapter 7, Section 7.3.4
% Sequential Gradient Restoration Algorithm
% Example 7.1
%
% The Gradient phase needs a feasible starti
www.eeworm.com/read/13871/284528
m gradchek.m
function [gradient, delta] = gradchek(w, func, grad, varargin)
%GRADCHEK Checks a user-defined gradient function using finite differences.
%
% Description
% This function is intended as a utility
www.eeworm.com/read/344585/3207670
m gradchek.m
function [gradient, delta] = gradchek(w, func, grad, varargin)
%GRADCHEK Checks a user-defined gradient function using finite differences.
%
% Description
% This function is intended as a utility for
www.eeworm.com/read/396844/2406600
m gradchek.m
function [gradient, delta] = gradchek(w, func, grad, varargin)
%GRADCHEK Checks a user-defined gradient function using finite differences.
%
% Description
% This function is intended as a utility for
www.eeworm.com/read/359369/2978399
m gradchek.m
function [gradient, delta] = gradchek(w, func, grad, varargin)
%GRADCHEK Checks a user-defined gradient function using finite differences.
%
% Description
% This function is intended as a utility