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Algorithm 的代码
signature-enveloping-dsa-c14n-1.txt
edInfo xmlns="http://www.w3.org/2000/09/xmldsig#">
signature-enveloping-b64-dsa-c14n-0.txt
edInfo xmlns="http://www.w3.org/2000/09/xmldsig#">
sample4_1.java
/*
* 示例程序Sample4_1: LEquations类的基本用法
*/
package javaalgorithm.sample;
import javaalgorithm.algorithm.Matrix;
import javaalgorithm.algorithm.LEquations;
public class Sample4_1
{
public
contents.m
% Pre-image problem for RBF kernel.
%
% rbfpreimg - Schoelkopf's fixed-point algorithm.
% rbfpreimg2 - Gradient optimization.
% rbfpreimg3 - Kwok-Tsang's algorithm.
%
% About: Statistical Pattern
convexhulltest.cpp
// $Id: ConvexHullTest.cpp 1993 2007-06-10 11:53:49Z mloskot $
//
// Test Suite for geos::algorithm::ConvexHull
// Ported from JTS junit/algorithm/ConvexHullTest.java
// tut
#include
contents.m
% Pre-image problem for RBF kernel.
%
% rbfpreimg - Schoelkopf's fixed-point algorithm.
% rbfpreimg2 - Gradient optimization.
% rbfpreimg3 - Kwok-Tsang's algorithm.
%
% About: Statistical Pattern
contents.m
% Pre-image problem for RBF kernel.
%
% rbfpreimg - Schoelkopf's fixed-point algorithm.
% rbfpreimg2 - Gradient optimization.
% rbfpreimg3 - Kwok-Tsang's algorithm.
%
% About: Statistical Pattern
widekernelpls.fit.r
### widekernelpls.fit.R: Kernel PLS fit algorithm for wide data.
### $Id: widekernelpls.fit.R 138 2007-09-28 15:24:29Z bhm $
###
### Implements an adapted version of the algorithm described in
### Ra
新建 文本文档.txt
/***************************************************************************
#include
#include
#include
#include
#include
using namespace
crlsequa.m
% Illustration of the conventional RLS algorithm
% using an adaptive equalization experiment
%
%
% Programmed by: Dimitris Manolakis, 1999
%
%---------------------------------------------------