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/150760/12265992

m minball.m

function model = minball(X,options) % MINBALL Minimal enclosing ball in kernel feature space. % % Synopsis: % model = minball(X) % model = minball(X,options) % % Description: % It computes center
www.eeworm.com/read/217521/14959400

txt readme.txt

DESCRIPTION PiSvM is a parallel Support Vector Machine (SVM) implementation. It supports C-SVC, nu-SVC, epsilon-SVR and nu-SVR and has a command-line interface similar to the popular LibSVM package
www.eeworm.com/read/213492/15133741

m minball.m

function model = minball(X,options) % MINBALL Minimal enclosing ball in kernel feature space. % % Synopsis: % model = minball(X) % model = minball(X,options) % % Description: % It computes center
www.eeworm.com/read/473219/6849070

m milpex.m

clc echo on % YALMIP supports mixed integer (LP/QP/SOCP/SDP) programming. If no % specialized MIP solver is installed, such as GLPK or CPLEX, an internal % branch-and bound scheme is applied,
www.eeworm.com/read/193277/8243085

m milpex.m

clc echo on % YALMIP supports mixed integer (LP/QP/SOCP/SDP) programming. If no % specialized MIP solver is installed, such as GLPK or CPLEX, an internal % branch-and bound scheme is applied,
www.eeworm.com/read/288877/8596946

txt alpha.m.txt

function [lalpha,q] = Alpha(p,q,d,m,pperm,rperm) % [lalpha,q] = Alpha(p,q,d,m,pperm,rperm) % MH acceptance ratio using accurate Likelihood calculation % Puts calculated DR, logPrior (all solvers) G
www.eeworm.com/read/386625/8734601

m solve.m

%SOLVE Solve a linear system. % % [X,RESIDS,ITS] = SOLVE(A,B,X0,RTOL,PRTOL,MAX_IT,MAX_TIME,MAX_MFLOP,... % RESTART) applies a solver defined by "solver_flag", with the given % t
www.eeworm.com/read/428849/8834933

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/428849/8834937

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/373012/9478871

petsc readme.petsc

$Id: README.petsc,v 1.3 2006/02/25 08:02:58 geuzaine Exp $ To compile PETSc >= 2.3 using complex arithmetic, on a single processor machine: 1) Install blas and lapack if they are not already install