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