代码搜索：multidimensional
找到约 559 项符合「multidimensional」的源代码
代码结果 559
www.eeworm.com/read/388600/2549220
bib flat.bib
@Article{stark,
author = {T[] Stark},
title = {TBD},
journal = {TLE},
year = 2004
}
@Article{bienati,
author = {N[] Bienati and U[] Spagnolini},
title = {Multidimensional wave
www.eeworm.com/read/368337/9701318
texi montecarlo.texi
@cindex Monte Carlo integration
@cindex stratified sampling in monte carlo integration
This chapter describes routines for multidimensional Monte Carlo
integration. These include the traditional M
www.eeworm.com/read/102394/15783258
texi montecarlo.texi
@cindex Monte Carlo integration
@cindex stratified sampling in monte carlo integration
This chapter describes routines for multidimensional Monte Carlo
integration. These include the traditional Mont
www.eeworm.com/read/102394/15783323
texi multiroots.texi
@cindex solving nonlinear systems of equations
@cindex nonlinear systems of equations, solution of
@cindex systems of equations, nonlinear
This chapter describes functions for multidimensional root-f
www.eeworm.com/read/191902/8417403
m mds.m
function [new_features, targets] = MDS(features, targets, params, region)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% features - Train features
% targets - Train
www.eeworm.com/read/286662/8752005
m mds.m
function [new_patterns, targets] = MDS(patterns, targets, params)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% patterns - Train patterns
% targets - Train targets
www.eeworm.com/read/177129/9469027
m mds.m
function [new_features, targets] = MDS(features, targets, params, region)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% features - Train features
% targets - Train
www.eeworm.com/read/372113/9521374
m mds.m
function [new_patterns, targets] = MDS(patterns, targets, params)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% patterns - Train patterns
% targets - Train targets
www.eeworm.com/read/362008/10024026
m mds.m
function [new_patterns, targets] = MDS(patterns, targets, params)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% patterns - Train patterns
% targets - Train targets
www.eeworm.com/read/357874/10199200
m mds.m
function [new_patterns, targets] = MDS(patterns, targets, params)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% patterns - Train patterns
% targets - Train targets