代码搜索:solves

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www.eeworm.com/read/184067/9123733

m trust.m

function [s,val,posdef,count,lambda] = trust(g,H,delta) %TRUST Exact soln of trust region problem % % [s,val,posdef,count,lambda] = TRUST(g,H,delta) Solves the trust region % problem: min{g^Ts + 1
www.eeworm.com/read/281807/9132792

m rwg4.m

%RWG4 Solves MoM equations for the antenna radiation problem % Uses the mesh file from RWG2, mesh2.mat, and % the impedance file from RWG3, impedance.mat, % as inputs. % % Also calcula
www.eeworm.com/read/281807/9133200

m rwg4.m

%RWG4 Solves MoM equations for the antenna radiation problem % Uses the mesh file from RWG2, mesh2.mat, and % the impedance file from RWG3, impedance.mat, % as inputs. % % Also calcula
www.eeworm.com/read/281673/9142014

cpp fname2.cpp

//: C14:FName2.cpp // From Thinking in C++, 2nd Edition // Available at http://www.BruceEckel.com // (c) Bruce Eckel 2000 // Copyright notice in Copyright.txt // Subtyping solves the problem #in
www.eeworm.com/read/363888/9932931

cpp fname2.cpp

//: C14:FName2.cpp // From Thinking in C++, 2nd Edition // Available at http://www.BruceEckel.com // (c) Bruce Eckel 2000 // Copyright notice in Copyright.txt // Subtyping solves the problem #in
www.eeworm.com/read/362246/10010543

m gnnls.m

function [x,fval,stat] = gnnls(H,f,options) % GNNLS Solves Generalized Non-negative Least Squares (GNNLS) problem. % % Synopsis: % [x,fval,stat] = gnnls(H,f) % [x,fval,stat] = gnnls(H,f,options) %
www.eeworm.com/read/166306/10024534

m trust.m

function [s,val,posdef,count,lambda] = trust(g,H,delta) %TRUST Exact soln of trust region problem % % [s,val,posdef,count,lambda] = TRUST(g,H,delta) Solves the trust region % problem: min{g^Ts + 1
www.eeworm.com/read/358694/10181662

m trust.m

function [s,val,posdef,count,lambda] = trust(g,H,delta) %TRUST Exact soln of trust region problem % % [s,val,posdef,count,lambda] = TRUST(g,H,delta) Solves the trust region % problem: min{g^Ts + 1
www.eeworm.com/read/355030/10300200

cpp fname2.cpp

//: C14:FName2.cpp // From Thinking in C++, 2nd Edition // Available at http://www.BruceEckel.com // (c) Bruce Eckel 1999 // Copyright notice in Copyright.txt // Subtyping solves the problem #in
www.eeworm.com/read/424987/10388691

m l1_ls_nonneg.m

function [x,status,history] = l1_ls_nonneg(A,varargin) % % l1-Regularized Least Squares Problem Solver % % l1_ls solves problems of the following form: % % minimize ||A*x-y||^2 + lambda*sum(