代码搜索：Solver
找到约 5,733 项符合「Solver」的源代码
代码结果 5,733
www.eeworm.com/read/280595/10312420
m rsde.m
function model = rsde(X,options)
% RSDE Reduced Set Density Estimator.
%
% Synopsis:
% model = rsde(X,options)
%
% Description:
% This function implements the Reduced Set Density Estimator
% [Giro
www.eeworm.com/read/280595/10312426
m~ rsde.m~
function model = rsde(X,options)
% RSDE Reduced Set Density Estimator.
%
% Synopsis:
% model = rsde(X,options)
%
% Description:
% This function implements the Reduced Set Density Estimator
% [Giro
www.eeworm.com/read/162177/10329195
m colorize.m
g_name='example.bmp';
c_name='example_marked.bmp';
out_name='example_res.bmp';
%set solver=1 to use a multi-grid solver
%and solver=2 to use an exact matlab "\" solver
solver=2;
gI=doubl
www.eeworm.com/read/162177/10329245
m colorizefun.m
function [nI]=colorizeFun(gI,cI,solver)
if ~exist('solver','var')
solver=1;
end
%gI=double(imread(g_name))/255;
%cI=double(imread(c_name))/255;
colorIm=(sum(abs(gI-cI),3)>0.01);
c
www.eeworm.com/read/353831/10414604
m have_fcn.m
function TorF = have_fcn(tag)
%HAVE_FCN Test for optional functionality.
% TorF = have_fcn(tag) returns 1 if the optional functionality is
% available, 0 otherwise.
%
% Possible values for inpu
www.eeworm.com/read/421977/10672948
m examp6_5.m
mu=1000; x01=1; x02=2;
f=simget('c6mvdp'); % 首先获得默认的控制参数
f.Solver='ode15s'; % 选择仿真算法为 ode15s
[t,x,y]=sim('c6mvdp',[0,3000],f); % 在新选项下进行仿真
plot(t,y(:,1)), figure; plot(t,y(:,2))
www.eeworm.com/read/349479/10825198
m have_fcn.m
function TorF = have_fcn(tag)
%HAVE_FCN Test for optional functionality.
% TorF = have_fcn(tag) returns 1 if the optional functionality is
% available, 0 otherwise.
%
% Possible values for inpu
www.eeworm.com/read/466591/7029496
asv oaasvm.asv
function model = oaasvm(data,options)
% OAASVM Multi-class SVM using One-Agains-All decomposition.
%
% Synopsis:
% model = oaasvm( data )
% model = oaasvm( data, options)
%
% Description:
% model
www.eeworm.com/read/466591/7029499
m oaasvm.m
function model = oaasvm(data,options)
% OAASVM Multi-class SVM using One-Agains-All decomposition.
%
% Synopsis:
% model = oaasvm( data )
% model = oaasvm( data, options)
%
% Description:
% model
www.eeworm.com/read/466591/7029500
m~ oaasvm.m~
function model = oaasvm(data,options)
% OAASVM Multi-class SVM using One-Agains-All decomposition.
%
% Synopsis:
% model = oaasvm( data )
% model = oaasvm( data, options)
%
% Description:
% model