代码搜索:Problem
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www.eeworm.com/read/486654/6524970
cpp 1666.cpp
/* This Code is Submitted by wywcgs for Problem 1666 on 2006-09-01 at 13:17:59 */
#include
#include
#include
using namespace std;
const int N = 102400;
const in
www.eeworm.com/read/486654/6524980
cpp 2286.cpp
/* This Code is Submitted by wywcgs for Problem 2286 on 2006-06-18 at 21:34:16 */
#include
#include
#include
#include
using namespace std;
const char P
www.eeworm.com/read/486654/6524983
cpp 1437.cpp
/* This Code is Submitted by wywcgs for Problem 1437 on 2006-01-10 at 23:53:47 */
#include
#include
#include
#include
using namespace std;
const int MAX =
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cpp 2123.cpp
/* This Code is Submitted by wywcgs for Problem 2123 on 2005-10-22 at 18:10:04 */
#include
#include
const int MAX = 1024;
const long INFINITE = 10240000;
typedef struct {
www.eeworm.com/read/486342/6539505
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.org/advi
www.eeworm.com/read/485544/6552639
m demhmc3.m
%DEMHMC3 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/485544/6552649
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/485544/6552683
m demgp.m
%DEMGP Demonstrate simple regression using a Gaussian Process.
%
% Description
% The problem consists of one input variable X and one target variable
% T. The values in X are chosen in two separated c
www.eeworm.com/read/485544/6552711
m demhmc2.m
%DEMHMC2 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/485544/6552769
m demrbf1.m
%DEMRBF1 Demonstrate simple regression using a radial basis function network.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling