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/334923/12562531

m dcopf.m

function [buso, geno, brancho, f, success, info, et] = dcopf(baseMVA, ... bus, gen, branch, areas, gencost, mpopt) %DCOPF Solves a DC optimal power flow. % % [bus, gen, branch, f
www.eeworm.com/read/334860/12568099

m nlsqold.m

function [x,OPTIONS,CostFunction,JACOB] = nlsqold(FUN,x,OPTIONS,GRADFUN,varargin) %NLSQ Solves non-linear least squares problems. % NLSQ is the core code for solving problems of the form: % min
www.eeworm.com/read/427233/8959579

m mf.m

%MF.m %This program solves the maximum flow problem by using Dinic algorithm. n=input('Enter the vertices number of the graph:n= ') C=input('Enter the capacity adjacent matrix of the graph:[C(1,
www.eeworm.com/read/427233/8959626

m mst_d.m

%MST_d.m %This program solves the Minimum Spanning Tree Problem by using Dijkstra Algorithm. n=input('Enter the vertices number of the graph:n= ') W=input('Enter the weight adjacent matrix of the g
www.eeworm.com/read/427233/8959638

m sp_d.m

%SP_d.m %This program solves the Shortest Path Problem by using Dijkstra Algorithm. n=input('Enter the vertices number of the graph:n= ') W=input('Enter the weight adjacent matrix of the graph:[W
www.eeworm.com/read/184067/9123716

m nlsq.m

function [x,CostFunction,JAC,EXITFLAG,OUTPUT] = nlsq(funfcn,x,verbosity,options,CostFunction,JAC,YDATA,caller,varargin) %NLSQ Solves non-linear least squares problems. % NLSQ is the core code for
www.eeworm.com/read/364508/9904930

m gee_its_simple.m

function [x, rcnd] = gee_its_simple (A, b) %GEE_ITS_SIMPLE solves A*x=b using a Gaussian Elimination Example (it's simple!) % For details on the algorithm used (Gaussian elimination with partial % piv
www.eeworm.com/read/168118/9937713

m levrec.m

function x=levrec(aa,b); % x=levrec(aa,b) % % This function solves the matrix equation Tx=b for the vector % x using Levinson recursion. The symmetric Toeplitz matrix T is % assumed specified comple
www.eeworm.com/read/166306/10024506

m nlsq.m

function [x,CostFunction,JAC,EXITFLAG,OUTPUT] = nlsq(funfcn,x,verbosity,options,CostFunction,JAC,YDATA,caller,varargin) %NLSQ Solves non-linear least squares problems. % NLSQ is the core code for
www.eeworm.com/read/358694/10181649

m nlsq.m

function [x,CostFunction,JAC,EXITFLAG,OUTPUT] = nlsq(funfcn,x,verbosity,options,CostFunction,JAC,YDATA,caller,varargin) %NLSQ Solves non-linear least squares problems. % NLSQ is the core code for