代码搜索:solves

找到约 1,488 项符合「solves」的源代码

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www.eeworm.com/read/472943/1402614

m seriesmillssolve.m

function t = SeriesMillsSolve(rho) % t = SeriesMillsSolve(rho) % % Solves the equation M(s) = rho global ztable millstable % check that nu is in range. if max(rho(:)) >= 1 | min( rho(:))
www.eeworm.com/read/472943/1402642

m seriesmillssolve.m

function t = SeriesMillsSolve(rho) % t = SeriesMillsSolve(rho) % % Solves the equation M(s) = rho global ztable millstable % check that nu is in range. if max(rho(:)) >= 1 | min( rho(:))
www.eeworm.com/read/472943/1402710

m seriesmillssolve.m

function t = SeriesMillsSolve(rho) % t = SeriesMillsSolve(rho) % % Solves the equation M(s) = rho global ztable millstable % check that nu is in range. if max(rho(:)) >= 1 | min( rho(:))
www.eeworm.com/read/457216/1599714

m ex_5_19.m

% Exercise 5.19c: Markovitz portfolio optimization w/ diversification constraint % Boyd & Vandenberghe, "Convex Optimization" % Jo雔le Skaf - 08/29/05 % % Solves an extension of the classical Markovitz
www.eeworm.com/read/373026/2767650

m ex_5_19.m

% Exercise 5.19c: Markovitz portfolio optimization w/ diversification constraint % Boyd & Vandenberghe, "Convex Optimization" % Jo雔le Skaf - 08/29/05 % % Solves an extension of the classical Markovitz
www.eeworm.com/read/471460/6894098

m swingrk2.m

% This program solves the swing equation of a one-machine system % when subjected to a three-phase fault with subsequent clearance % of the fault. % % Copyright 1998 H. Saadat % function swingr
www.eeworm.com/read/193278/8241569

m unimodal.m

function B=unimodal(X,Y,Bold) % Solves the problem min|Y-XB'| subject to the columns of % B are unimodal and nonnegative. The algorithm is iterative % If an estimate of B (Bold) is given only on
www.eeworm.com/read/147096/12585617

m gflineq.m

function [x, vld] = gflineq(a, b, p) %GFLINEQ Solves linear equations in GF(p). % X = GFLINEQ(A, B) outputs the solution of linear equation % A X = B in GF(2), where the elements in A
www.eeworm.com/read/247527/12652555

m patternsearch.m

function [X,FVAL,EXITFLAG,OUTPUT] = patternsearch(FUN,initialX,Aineq,Bineq,Aeq,Beq,LB,UB,options) %PATTERNSEARCH Finds a linearly constrained minimum of a function. % PATTERNSEARCH solves proble
www.eeworm.com/read/101557/15827153

m gflineq.m

function [x, vld] = gflineq(a, b, p) %GFLINEQ Solves linear equations in GF(p). % X = GFLINEQ(A, B) outputs the solution of linear equation % A X = B in GF(2), where the elements in A