代码搜索:solves
找到约 1,488 项符合「solves」的源代码
代码结果 1,488
www.eeworm.com/read/336977/12403621
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/128468/14295639
m gganders.m
function [alpha,theta,solution,minr,t,maxerr]=...
gganders(MI,SG,J,tmax,stopCond,t,alpha,theta)
% GGANDERS solves Generalized Anderson's task, generalized gradient.
% [alpha,theta,solution,minr,t,m
www.eeworm.com/read/128468/14295650
m oanders.m
function [alpha,theta,solution,t,lambda,gamma,maxerr]=...
oanders(MI,SIGMA,J,tmax,delta,t,lambda)
% OANDERS solves the original Anderson's task, two Gaussians.
% [alpha,theta,solution,t,lambda,gamm
www.eeworm.com/read/229185/14349980
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/213492/15133844
m gmnp.m
function [x,fval,stat] = gmnp(H,f,options)
% GMNP Solves Generalized Minimal Norm Problem.
%
% Synopsis:
% [x,fval,stat] = gmnp(H,f)
% [x,fval,stat] = gmnp(H,f,options)
%
% Description:
% The Gene
www.eeworm.com/read/213492/15133859
m~ gmnp.m~
function [x,fval,stat] = gmnp(H,f,options)
% GMNP Solves Generalized Minimal Norm Problem.
%
% Synopsis:
% [x,fval,stat] = gmnp(H,f)
% [x,fval,stat] = gmnp(H,f,options)
%
% Description:
% The Gene
www.eeworm.com/read/212794/15149081
m vtb9.m
% VTB9
%
% VTB9_1 solves for the natural frequencies, damping ratios,
% and mode shapes of a linear second order matrix (LSOM)
% form system. (M,C,K)
% NOTE: VTB9_1 will be rep
www.eeworm.com/read/209264/15224328
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/481713/1293589
m gganders.m
function [alpha,theta,solution,minr,t,maxerr]=...
gganders(MI,SG,J,tmax,stopCond,t,alpha,theta)
% GGANDERS solves Generalized Anderson's task, generalized gradient.
% [alpha,theta,solution,minr,t,m
www.eeworm.com/read/481713/1293593
m oanders.m
function [alpha,theta,solution,t,lambda,gamma,maxerr]=...
oanders(MI,SIGMA,J,tmax,delta,t,lambda)
% OANDERS solves the original Anderson's task, two Gaussians.
% [alpha,theta,solution,t,lambda,gamm