代码搜索:Solver

找到约 5,733 项符合「Solver」的源代码

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m selectsolver.m

function [solver,problem] = select_solver(options,ProblemString,solvers,socp_are_really_qc); %SELECT_SOLVER Internal function to select solver based on problem category % Author Johan L鰂berg % $I
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m solvesdp.m

function diagnostic = solvesdp(varargin) %SOLVESDP Computes solution to optimization problem % % DIAGNOSTIC = SOLVESDP(F,h,options) is the common command to % solve optimization problems of th
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m getavailablesolvers.m

function [solvers,keep] = getavailablesolvers(findallsolvers,options); solvers = newsolverdefinitions; keep = ones(length(solvers),1); if nargin==23 if ~(isequal(options.solver,'')
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htm impexp.htm

YALMIP Example : Efficient solution of KYP problems
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htm globalbmi.htm

YALMIP Example : Solving BMIs globally
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m solvesdp.m

function diagnostic = solvesdp(varargin) %SOLVESDP Computes solution to optimization problem % % DIAGNOSTIC = SOLVESDP(F,h,options) is the common command to % solve optimization problems of th
www.eeworm.com/read/386625/8734590

m show_params.m

%SHOW_PARAMS Display the currently set parameters in a text window. % % This M-File displays a summary of the currently defined global % parameters in the figure with handle "param_fig"
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m~ train_ocr.m~

% TRAIN_OCR Training of OCR classifier based on multiclass SVM. % % Description: % The following steps are performed: % - Training set is created from data in directory ExamplesDir. % - Mult
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m train_ocr.m

% TRAIN_OCR Training of OCR classifier based on multiclass SVM. % % Description: % The following steps are performed: % - Training set is created from data in directory ExamplesDir. % - Mult
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c gnnls_mex.c

/*--------------------------------------------------------------------------- gnnls_mex.c: MEX-file solver for Generalized Non-negative Least Squares (GNNLS) Synopsis: [x,exitflag,t,access,His