代码搜索:Monte-Carlo
找到约 79 项符合「Monte-Carlo」的源代码
代码结果 79
www.eeworm.com/read/176823/9483172
txt network.txt
The latest release of Netlab includes the following algorithms:
PCA
Mixtures of probabilistic PCA
Gaussian mixture model with EM training algorithm
Linear and logistic regression with IRLS t
www.eeworm.com/read/457410/7325866
txt ecb_e_m_results.txt
Monte-Carlo Encryption Tests
----------------------------
Round Number - 0
Result: OK
Round Number - 1
Result: OK
Round Number - 2
Result: OK
Round Number - 3
Result: OK
Round Number - 4
Result: OK
Ro
www.eeworm.com/read/457410/7325912
txt ecb_e_m_results.txt
Monte-Carlo Encryption Tests
----------------------------
Round Number - 0
Result: OK
Round Number - 1
Result: OK
Round Number - 2
Result: OK
Round Number - 3
Result: OK
Round Number - 4
Result: OK
Ro
www.eeworm.com/read/138685/13225834
manifesto
What is MCS-libre?
MCS-libre is a free (GNU LGPL) utility for Monte-Carlo simulation. It
is a library of header files that can easily be inserted into a C++
program. A C++ compiler is required. T
www.eeworm.com/read/155797/11847615
manifesto
What is MCS-libre?
MCS-libre is a free (GNU LGPL) utility for Monte-Carlo simulation. It
is a library of header files that can easily be inserted into a C++
program. A C++ compiler is required. T
www.eeworm.com/read/186716/8914596
m fx_menu.m
function fx_menu
% Labels
%
labels = str2mat( ...
'x ', ...
'x.^2 ', ...
'1 - (x.^2) ', ...
'(x.
www.eeworm.com/read/360770/10079000
m e182.m
%-----------------------------------------------------------------------
% Example 1.8.2: Monte-Carlo Integration
%-----------------------------------------------------------------------
% Initi
www.eeworm.com/read/487309/6519019
m monte.m
%MONTE Monte-Carlo simulation of parameters
%function simparam= monte(Param,n)
%Monte-Carlo simulation of a single or multiple linearly correlated
%variables based on non-parametric cdf of primary var
www.eeworm.com/read/260352/11730984
m dbtex5.m
% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %
% 程序功能:本例为DML和ULA的Monte-Carlo仿真 %
% 程序员:王浩 harvey %
%
www.eeworm.com/read/291067/6302997
m moderr.m
function res = moderr(simParam, srcParams, sigSrcs)
%MODERR: Monte-Carlo Simulation for several model errors.
%
%--------
%Description:
%
%Output and Input:
%
%--------
%Notations:
% Data type names