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/471340/6890187

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/295408/8166601

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/393976/8252591

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/393211/8304585

m rwg4.m

function [Impedance, PowerSum]=rwg4 %RWG4 Solves MoM equations for the antenna radiation problem - % antenna arrays % % Uses the mesh file from RWG2, mesh2.mat, and % the impedance file fro
www.eeworm.com/read/369527/9641562

m opf.m

function [bus, gen, branch, f, success, et] = opf(baseMVA, bus, gen, gencost, ... branch, Ybus, Yf, Yt, ref, pv, pq, mpopt) %OPF Solves an optimal power flow. % [bus, gen, branch, f, succes
www.eeworm.com/read/369527/9641586

m lpsetup.m

function [x, duals, idx_workc, idx_bindc] = LPsetup(a, f, b, nequs, vlb, vub, idx_workc, mpopt) % LPSOLVER solves a LP problem using a callable LP routine % The LP problem is defined as follows: %
www.eeworm.com/read/367442/9748220

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/367442/9748232

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/411401/11246790

m forwardsolution.m

function [U,p,r]=ForwardSolution(NNode,NElement,A,C,T,MeasPattern,style,p,r); %ForwardSolution Solves the potential distribution in 2D EIT % Function [U,p,r]=ForwardSolution(NNode,NElement,A,C,T,Mea
www.eeworm.com/read/335571/12514271

m opf.m

function [bus, gen, branch, f, success, et] = opf(baseMVA, bus, gen, gencost, ... branch, Ybus, Yf, Yt, ref, pv, pq, mpopt) %OPF Solves an optimal power flow. % [bus, gen, branch, f, succes