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/461848/1549583
m simul.m
% Script file: simul.m
%
% Purpose:
% This program solves a system of 8 linear equations in 8
% unknowns (a*x = b), using both full and sparse matrices.
%
% Record of revisions:
%
www.eeworm.com/read/457216/1599686
m ex_4_3.m
% Exercise 4.3: Solve a simple QP with inequality constraints
% From Boyd & Vandenberghe, "Convex Optimization"
% Jo雔le Skaf - 09/26/05
%
% Solves the following QP with inequality constraints:
%
www.eeworm.com/read/457216/1599704
m regressor_cvx.m
% Example 6.4: Regressor selection problem
% Section 6.3.1, Figure 6.7
% Original by Lieven Vandenberghe
% Adapted for CVX Argyris Zymnis - 10/2005
%
% Solves
% minimize ||A*x-b||_2
%
www.eeworm.com/read/285908/4044170
m pfminunc.m
function [X,FVAL,EXITFLAG,OUTPUT] = pfminunc(FUN,initialX,options)
%PFMINUNC Finds a box constrained minimum of a function.
% PFMINUNC solves problems of the form:
% min F(X)
% X
www.eeworm.com/read/407519/2262591
py demo.py
# This demo program solves the equations of static
# linear elasticity for a gear clamped at two of its
# ends and twisted 30 degrees.
#
# Original implementation: ../cpp/main.cpp by Johan Jansson and
www.eeworm.com/read/373026/2767623
m ex_4_3.m
% Exercise 4.3: Solve a simple QP with inequality constraints
% From Boyd & Vandenberghe, "Convex Optimization"
% Jo雔le Skaf - 09/26/05
%
% Solves the following QP with inequality constraints:
%
www.eeworm.com/read/373026/2767640
m regressor_cvx.m
% Example 6.4: Regressor selection problem
% Section 6.3.1, Figure 6.7
% Original by Lieven Vandenberghe
% Adapted for CVX Argyris Zymnis - 10/2005
%
% Solves
% minimize ||A*x-b||_2
%
www.eeworm.com/read/147681/12539843
m clsq.m
function [c, n] = clsq (A, dim);
%CLSQ Special constrained least squares
%
% [c, n] = clsq (A, dim) solves the constrained
% least squares Problem
% A (c n)' == 0 subject t
www.eeworm.com/read/247527/12652613
m pfminunc.m
function [X,FVAL,EXITFLAG,OUTPUT] = pfminunc(FUN,initialX,options)
%PFMINUNC Finds a box constrained minimum of a function.
% PFMINUNC solves problems of the form:
% min F(X)
% X
www.eeworm.com/read/391275/8412776
m gmfem.m
function u = gmfem(brep, mesh, conduct, source, userdata);
% u = gmfem(brep, mesh {, conduct { , source { , userdata}}});
% This function solves the boundary value problem
% div (c grad u) = -f
%