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/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
www.eeworm.com/read/240722/4570599

qci mbpt_mp2r12_ne2.qci

method: mp2-r12/a gradient: no