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/7672/127170
m rc.m
function q=rc(varargin)
%This programme solves various formulaes for diode connected to rl load
%This function also offers graph for the function selected
%This function runs independently as well
www.eeworm.com/read/461848/1549662
m funxy.m
% Script file: funxy.m
%
% Purpose:
% This program solves the function f(x,y) for a
% user-specified x and y, where f(x,y) is defined as:
% _
% |
%
www.eeworm.com/read/393395/2474590
c psdinvjmul.c
/*
% z = psdinvjmul(xlab,xfrm, y, K)
% PSDINVJMUL solves x jmul z = y, with x = XFRM*diag(xlab)*XFRM'
%
% SEE ALSO sedumi
% ********** INTERNAL FUNCTION
www.eeworm.com/read/473219/6849032
m callbmilin.m
function diagnostic = callbmilin(F,h,options)
%
% EXTREMELY naive implementation of a local BMI solver
% using linearizations and a simple trust-region.
%
% To be precise, it not only "solves" pr
www.eeworm.com/read/471460/6894153
m qsched.m
% This program solves the coordination equation for economic scheduling
% of generation. The program requires the total load demand (Qdt), the
% cost function matrix (cost) and the gen. mwlimits.
www.eeworm.com/read/471460/6894182
m dispatch.m
% This program solves the coordination equation for economic scheduling
% of generation. The program requires the total load demand (Pdt), the
% cost function matrix (cost) and the gen. mwlimits.
www.eeworm.com/read/193277/8243024
m callbmilin.m
function diagnostic = callbmilin(F,h,options)
%
% EXTREMELY naive implementation of a local BMI solver
% using linearizations and a simple trust-region.
%
% To be precise, it not only "solves" pr
www.eeworm.com/read/268073/11155337
m gausselimcomppivot.m
%Gaussian Elimination-Complete Pivoting
%Description: This procedure solves a system of linear equations using
%Gaussian Elimination Algorithm with full pivoting strategy. Full
%pivoting is the int
www.eeworm.com/read/268073/11155341
m gausselimpartpivot.m
%Gaussian Elimination-Partial Pivoting
%Description: This procedure solves a system of linear equations using
%Gaussian Elimination Algorithm with partial pivoting strategy. Partial
%pivoting is th
www.eeworm.com/read/424063/10501602
m seminf.m
function [x,options] = seminf(fun, ntheta, x0, options, vlb, vub, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10)
%SEMINF Solves semi-infinite constrained optimization problems.
% SEMINF solves problems o