代码搜索：Problem
找到约 10,000 项符合「Problem」的源代码
代码结果 10,000
www.eeworm.com/read/167185/5463630
lint
refcof.c
==============
(375) warning: sincn may be used before set
(539) warning: main() returns random value to invocation environment
warning: possible pointer alignment problem
(289)
www.eeworm.com/read/167185/5463852
lint
pplain.c
==============
warning: possible pointer alignment problem
(179)
==============
name used but not defined
get_fea_element pplain.c(154)
value type declared inconsistently
www.eeworm.com/read/164348/5494832
changelog
ChangeLog file for zlib
Changes in 1.1.4 (11 March 2002)
- ZFREE was repeated on same allocation on some error conditions.
This creates a security problem described in
http://www.zlib.or
www.eeworm.com/read/162970/5511898
java invalidcodefileexception.java
package ai.common;
/**
* Thrown if a particular pseudo-code file contains a
* syntax error, or if there is a problem parsing the file.
*
*
* Change History:
*
*
www.eeworm.com/read/162614/5521652
c p2846b.c
// { dg-do run }
// Shows that problem of initializing one object's secondary base from
// another object via a user defined copy constructor for that base,
// the pointer for the secondary vtable is
www.eeworm.com/read/344585/3207657
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/344585/3207686
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/344585/3207786
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/344585/3207819
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/344585/3208011
m writesdpa.m
% This function takes a problem in SeDuMi MATLAB format and writes it out
% in SDPA sparse format.
%
% Usage:
%
% ret=writesdpa(fname,A,b,c,K,pars)
%
% fname Name of SDPpack file