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#include "stdafx.h"
#include <vector>
#include <iostream>

#ifndef Edge_H_INCLUDED
#define Edge_H_INCLUDED

using namespace std;

class Edge{

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#include "stdafx.h"
#include <vector>
#include <iostream>

#ifndef Edge_H_INCLUDED
#define Edge_H_INCLUDED

using namespace std;

class Edge{

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#include "stdafx.h"

using namespace System;
using namespace System::Reflection;
using namespace System::Runtime::CompilerServices;
using namespace System::Runtime::InteropServices;
using namespace System::Security::Permissions;

//
// General Information about an assembly is controlled through the following

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/******************************************
Lab 1 Perspective Vector Display System

THE GEORGE WASHINGTON UNIVERSITY 
Department of Computer Science 
CS 6554 - Computer Graphics II - Spring 2014 

Name: Wenhui Zhang	
GWid: G35379915
 

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\documentclass[12pt]{article}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

\usepackage{amscd}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{amsthm}


\usepackage{epsfig}

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#Do an R-mode using prcomp(), for correlation and covariance among variables

#for Q-mode PCA :the data set should be transposed before procceeding
#Q-mode focuses on correlations and covariance among samples

mydata<-read.table(file="/Users/WenhuiZhang/Desktop/hypeScpec_R/R_hyperspectra/mydata.txt",header=TRUE,row.name=1,sep=",")

mydata.pca<-prcomp(mydata,retx=TRUE,center=TRUE,scale.=TRUE)

#variable means set to zero, and variance set to one sample scores stored in mydata.pca$x

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%http://en.wikipedia.org/wiki/Dijkstra's_algorithm
%W stands for the pic/path weight distibution 
%n total number of spots


function [l,z]=Dijkstra(W)
n = size (W,1);
for i = 1 :n 
    l(i)=W(1,i);
    z(i)=1;

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%%http://en.wikipedia.org/wiki/Particle_swarm_optimization

function [pso F] = pso_2D()
%   FUNCTION PSO  --------USE Particle Swarm Optimization Algorithm
%global present;
% close all;
pop_size = 10;          %   pop_size 
part_size = 2;          %   part_siz=n-D
gbest = zeros(1,part_size+1);           
max_gen = 80;          

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function [R,Rlength]=geneticTSP(D,n,C,m,alpha)

[N,NN]=size(D);
farm=zeros(n,N);
for i=1:n
farm(i,:)=randperm(N);
end
R=farm(1,:); 
len=zeros(n,1);

wenhuizhang

unit analogu;

interface

uses
  Windows, Messages, SysUtils, Classes, Graphics, Controls, Forms, Dialogs,
  Menus, ToolWin, ComCtrls, ImgList, ExtCtrls, mpfileu, mpviewu;

type