source: branches/HeuristicLab.Analysis.AlgorithmBehavior/PerformanceTests/Program.cs @ 10200

using System;
using System.Diagnostics;
using System.Linq;
using HeuristicLab.Analysis.AlgorithmBehavior.Analyzers;

namespace PerformanceTests {
  class Program {
    static void Main(string[] args) {
      TestVolCalc();
    }

    public static void TestVolCalc() {
      int dim = 4;
      int size = 20;
      var data = CreateRandomData(size, dim);
      var dataList = data.ToList();
      Stopwatch watch = new Stopwatch();


      //calculate convex hull
      watch.Start();
      var convexHull = LPHull.Calculate(data);
      watch.Stop();
      Console.WriteLine("Convex hull calculation took : " + watch.Elapsed.TotalSeconds + " seconds.");


      //calculate volume of convex hull
      watch.Start();
      double volume = ConvexHullMeasures.CalculateVolumeNew(convexHull);
      watch.Stop();
      Console.WriteLine("Volume calculation of convex hull took : " + watch.Elapsed.TotalSeconds + " seconds.");
      Console.WriteLine("Volume of convex hull is: " + volume);


      //do volume calculation from the whole data set
      watch.Start();
      volume = ConvexHullMeasures.CalculateVolumeNew(dataList);
      watch.Stop();
      Console.WriteLine("Volume calculation of whole data set took : " + watch.Elapsed.TotalSeconds + " seconds.");
      Console.WriteLine("Volume of whole data is: " + volume);


      //do volume calculation with lrs
      watch.Start();
      volume = LiblrsWrapper.CalculateVolume(dataList);
      watch.Stop();
      Console.WriteLine("Volume calculation of whole data set with lrs took : " + watch.Elapsed.TotalSeconds + " seconds.");
      Console.WriteLine("Volume of whole data with lrs is: " + volume);
    }

    private static double[][] CreateRandomData(int n, int m) {
      double[][] result = new double[n][];
      Random rand = new Random();

      for (int i = 0; i < n; i++) {
        result[i] = new double[m];
        for (int j = 0; j < m; j++) {
          result[i][j] = (double)rand.Next(1, 60);
        }
      }
      return result;
    }
  }
}