代码搜索：Computing
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www.eeworm.com/read/465930/7049097
credits
* ---------------------------------------------------------------- *
The following people have made some contribution to this package:
Andrew Mileski
Dave Boynton
H.J.A. Sandkuyl
Giancarlo Ramat
Ben
www.eeworm.com/read/464569/7065061
java chapter5n7.java
/**
*
* demonstration of nested loops (test version)
*
* Written by: Roger Garside
*
* First Written: 12/June/96
* Last Rewritten: 2/Oct/96
*
*/
import java.lancs.* ;
public class Chapter5
www.eeworm.com/read/464569/7065062
java chapter5n8.java
/**
*
* demonstration of nested loops (modified inner loop - test version)
*
* Written by: Roger Garside
*
* First Written: 12/June/96
* Last Rewritten: 2/Oct/96
*
*/
import java.lancs.* ;
www.eeworm.com/read/464569/7065065
java chapter5n9.java
/**
*
* demonstration of nested loops (further modified inner loop - test version)
*
* Written by: Roger Garside
*
* First Written: 12/June/96
* Last Rewritten: 2/Oct/96
*
*/
import java.la
www.eeworm.com/read/111255/7151248
diz file_id.diz
WINDOWS STD SERIAL COMM LIB for VISUAL BASIC.
Ver 2.3, Aug 14, 1998 (WSC4VB23.ZIP). [ASP].
Win 16 & 32 DLLs (Windows 95/98, NT, 3.1).
Serial comm library based on the Windows API.
Includes 30 fu
www.eeworm.com/read/455119/7377590
m pca_error_plots_close.m
%
% David Gleich
% CS 152 - Neural Networks
% 12 December 2003
%
% initialize random number generator
rand('seed', 2);
k = 4;
% load PCA data
X = pcadata('close');
fprintf('Compu
www.eeworm.com/read/455119/7377593
m pca_error_plots_separated.m
%
% David Gleich
% CS 152 - Neural Networks
% 12 December 2003
%
% initialize random number generator
rand('seed', 2);
k = 4;
% load PCA data
A = pcadata('separated');
fprintf('Com
www.eeworm.com/read/441440/7670406
diz file_id.diz
MarshallSoft GPS Component for C/C++.
Version 2.0. (MGC4C20.ZIP) June 22, 2007.
Receive & decode standard NMEA 183 sentences
from your GPS receiver. Requires Windows
C/C++ compiler. By MarshallSo
www.eeworm.com/read/196699/8066097
htm readme.htm
libSynk
Please see
libSynk
for the latest documentation.
www.eeworm.com/read/397102/8067987
m modeseek.m
%MODESEEK Clustering by modeseeking
%
% [labels,J] = modeseek(D,k)
%
% If D is a n*n distance matrix between object then a k-nn
% modeseeking method is used to assign each object to its nearest
%