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/362246/10010521
m~ gnnls.m~
function [x,fval,stat] = gnnls(H,f,options)
% GNNLS Solves Generalized Non-negative Least Squares Problem (GNNLS).
%
% Synopsis:
% [x,fval,stat] = gnnls(H,f)
% [x,fval,stat] = gnnls(H,f,options)
%
www.eeworm.com/read/362246/10010546
m gnpp.m
function [x,fval,stat] = gnpp(H,f,y,options)
% GNPP Solves Generalized Nearest Point (GNPP) problem.
%
% Synopsis:
% [x,fval,stat] = gnpp(H,f)
% [x,fval,stat] = gnpp(H,f,options)
%
% Description:
%
www.eeworm.com/read/164554/10103459
m sineg.m
% The script file sineg.m solves the sine-Gordon equation
% u_tt-u_xx-sin u on the real line using one of the following
% differentiation matrices: (1) Hermite, (2) sinc, or (3) Fourier.
% The so
www.eeworm.com/read/200336/10247181
m lpsetup.m
function [x, duals, idx_workc, idx_bindc] = LPsetup(a, f, b, nequs, vlb, vub, idx_workc, mpopt)
% LPSETUP solves a LP problem using a callable LP routine
% The LP problem is defined as follows:
%
% mi
www.eeworm.com/read/355063/10297882
f bw.f
program beamwarm
c...Solves the Riemann problem for the Euler equations using
c...the Beam-Warming second-order upwind method based on any
c...of three possible flux vector splittings.
c.
www.eeworm.com/read/161505/10400316
m fnnls.m
function [x,w] = fnnls(XtX,Xty,tol)
%FNNLS Non-negative least-squares.
%
% Adapted from NNLS of Mathworks, Inc.
%
% x = fnnls(XtX,Xty) returns the vector X that solves x = pinv(XtX)*Xty
%
www.eeworm.com/read/353831/10414464
m lpsetup.m
function [x, duals, idx_workc, idx_bindc] = LPsetup(a, f, b, nequs, vlb, vub, idx_workc, mpopt)
% LPSETUP solves a LP problem using a callable LP routine
% The LP problem is defined as follows:
%
% mi
www.eeworm.com/read/424063/10500978
m qp.m
function [X,lambda,how]=qp(H,f,A,B,vlb,vub,X,neqcstr,verbosity,negdef,normalize)
%QP Quadratic programming.
% X=QP(H,f,A,b) solves the quadratic programming problem:
%
% min 0.5*x'Hx +
www.eeworm.com/read/424063/10501640
m qp.m
function [X,lambda,how]=qp(H,f,A,B,vlb,vub,X,neqcstr,verbosity,negdef,normalize)
%QP Quadratic programming.
% X=QP(H,f,A,b) solves the quadratic programming problem:
%
% min 0.5*x'Hx +
www.eeworm.com/read/349479/10825094
m lpsetup.m
function [x, duals, idx_workc, idx_bindc] = LPsetup(a, f, b, nequs, vlb, vub, idx_workc, mpopt)
% LPSETUP solves a LP problem using a callable LP routine
% The LP problem is defined as follows:
%
% mi