代码搜索：solves
找到约 1,488 项符合「solves」的源代码
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www.eeworm.com/read/345785/11792134
f90 pcprb4.f90
! pcprb4.f90 22 June 2000
!
program pcprb4
!
!*******************************************************************************
!
!! PCPRB4 solves a problem involving the Freudenstein-Roth function.
!
www.eeworm.com/read/257010/11961021
m statesim.m
function [wdot] = statesim(t,w)
% Hadi Saadat, 1998
% Given the solution of the time-varying matrix Riccati equation found
% by the function riccasim, this function solves the state equation in
www.eeworm.com/read/153018/12066806
m unimodalcrossproducts.m
function B=unimodalcrossproducts(XtX,XtY,Bold)
% Solves the problem min|Y-XB'| subject to the columns of
% B are unimodal and nonnegative. The algorithm is iterative and
% only one iteration is
www.eeworm.com/read/339991/12188636
h pr_loqo.h
/*
* File: pr_loqo.h
* Purpose: solves quadratic programming problem for pattern recognition
* for support vectors
*
* Author: Alex J. Smola
* Created: 10/14/97
www.eeworm.com/read/339991/12188648
c pr_loqo.c
/*
* File: pr_loqo.c
* Purpose: solves quadratic programming problem for pattern recognition
* for support vectors
*
* Author: Alex J. Smola
* Created: 10/14/97
www.eeworm.com/read/150224/12304208
h pr_loqo.h
/*
* File: pr_loqo.h
* Purpose: solves quadratic programming problem for pattern recognition
* for support vectors
*
* Author: Alex J. Smola
* Created: 10/14/97
www.eeworm.com/read/150224/12304223
c pr_loqo.c
/*
* File: pr_loqo.c
* Purpose: solves quadratic programming problem for pattern recognition
* for support vectors
*
* Author: Alex J. Smola
* Created: 10/14/97
www.eeworm.com/read/130671/14179030
h pr_loqo.h
/*
* File: pr_loqo.h
* Purpose: solves quadratic programming problem for pattern recognition
* for support vectors
*
* Author: Alex J. Smola
* Created: 10/14/97
www.eeworm.com/read/130671/14179038
c pr_loqo.c
/*
* File: pr_loqo.c
* Purpose: solves quadratic programming problem for pattern recognition
* for support vectors
*
* Author: Alex J. Smola
* Created: 10/14/97
www.eeworm.com/read/128468/14295547
m svmdemo.m
function result = svmdemo(action,hfigure,varargin)
% SVMDEMO demo on the Support Vector Machines.
%
% SVMDEMO demonstrates use of the algorithms which
% solves the SVM problem with the both linear (L