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/395537/8168881
m uvwd.m
function gradf = uvwd(xy);
%
% uvwd
% Gradient of objective function uvw.
% Vectorized to handle a 2 x n input matrix xy,
% whose columns give the evaluation points in the plane.
% Returns an
www.eeworm.com/read/170936/9779152
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/415313/11076371
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/415223/11080083
m block_pcgp.m
function [s, err_mse, iter_time]=block_pcgp(x,A,group,varargin)
% group_pcgp: Block Partial Conjugate Gradient Pursuit algorithm
% (modification from [1])
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
www.eeworm.com/read/415223/11080105
m group_pcgp.m
function [s, err_mse, iter_time]=group_pcgp(x,A,group,varargin)
% group_pcgp: Group Partial Conjugate Gradient Pursuit algorithm
% (modification from [1])
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
www.eeworm.com/read/413912/11137092
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/237302/13969411
cc gen_smesh.cc
/*
* gen_smesh.cc
*
* usage: gen_smesh [ options ]
*
*
* [uniform gradient]
* -Av0 -Bgradient
* [Zelt's v.in]
* -Cv.in/ilayer [ -Fil
www.eeworm.com/read/192248/8396404
m nlconst.m
function [x,FVAL,lambda_out,EXITFLAG,OUTPUT,GRADIENT,HESS]= ...
nlconst(funfcn,x,lb,ub,Ain,Bin,Aeq,Beq,confcn,OPTIONS,...
verbosity,gradflag,gradconstflag,hessflag,meritFunctionType,...
C
www.eeworm.com/read/189512/8466750
readme
These files constitute fixes and enhancements for Webglimpse
1.7.1. Feel free to contact me at cvogler@gradient.cis.upenn.edu with
any questions or concerns.
Overview:
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htuml2txt.lex -