代码搜索:Problems
找到约 3,996 项符合「Problems」的源代码
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www.eeworm.com/read/133648/14031768
java sharing1.java
//: c14:Sharing1.java
// From 'Thinking in Java, 2nd ed.' by Bruce Eckel
// www.BruceEckel.com. See copyright notice in CopyRight.txt.
// Problems with resource sharing while threading.
//
www.eeworm.com/read/103466/15730682
c lzw.c
/* lzw.c -- compress files in LZW format.
* This is a dummy version avoiding patent problems.
*/
#ifdef RCSID
static char rcsid[] = "$Id: lzw.c,v 0.9 1993/06/10 13:27:31 jloup Exp $";
#endif
www.eeworm.com/read/431834/8651029
sql books_uninstall.sql
/* Un-Install script, Books Module, Last Updated 9/25/03 */
/* Problems, comments. Chris Farrell, chris@cftechconsulting.com*/
/* based upon Wrox press ASP.Net "Building an ASP.Net Intranet", ch3*/
www.eeworm.com/read/366581/9807834
c lzw.c
/* lzw.c -- compress files in LZW format.
* This is a dummy version avoiding patent problems.
*/
#ifdef RCSID
static char rcsid[] = "$Id: lzw.c,v 0.9 1993/06/10 13:27:31 jloup Exp $";
#endif
#incl
www.eeworm.com/read/362004/10024221
h globals.h
#ifndef globals_h
#define globals_h 1
#define use_time 1
// uncomment the following line if you get problems with sys/times.h when compiling:
#undef use_time
#ifdef use_time
#include
www.eeworm.com/read/424987/10388698
m l1_ls.m
function [x,status,history] = l1_ls(A,varargin)
%
% l1-Regularized Least Squares Problem Solver
%
% l1_ls solves problems of the following form:
%
% minimize ||A*x-y||^2 + lambda*sum|x_i|,
%
%
www.eeworm.com/read/421499/10734332
c lzw.c
/* lzw.c -- compress files in LZW format.
* This is a dummy version avoiding patent problems.
*/
#ifdef RCSID
static char rcsid[] = "$Id: lzw.c,v 0.9 1993/06/10 13:27:31 jloup Exp $";
#endif
#incl
www.eeworm.com/read/275212/10828458
m lisc.m
function [lam,phi,phip,x,c,kod]=lisc(n,errtol,Lfun,m,Nfun,cinit)
%
% Solves two-point boundary value problems Lu=Nu
% using the Lyapunov-Schmidt method
% Reference:
% Trif, D., The Lyapunov-Schmi
www.eeworm.com/read/418911/10891913
m cgsvd.m
function [U,sm,X,V,W] = cgsvd(A,L)
%CGSVD Compact generalized SVD of a matrix pair in regularization problems.
%
% sm = cgsvd(A,L)
% [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu]
% [U,sm,X,V,W] = cgsvd(A