1 | using System;
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2 | using System.Collections.Generic;
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3 | using System.Linq;
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4 | using HeuristicLab.Random;
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5 |
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6 | namespace HeuristicLab.Problems.Instances.DataAnalysis {
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7 | public class Feynman47 : FeynmanDescriptor {
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8 | public override string Name { get { return "Feynman I.43.43 1/(gamma-1)*kb*v/A"; } }
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9 |
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10 | protected override string TargetVariable { get { return "kappa"; } }
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11 | protected override string[] VariableNames { get { return new[] {"gamma", "kb", "A", "v", "kappa"}; } }
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12 | protected override string[] AllowedInputVariables { get { return new[] {"gamma", "kb", "A", "v"}; } }
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13 |
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14 | public int Seed { get; private set; }
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15 |
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16 | public Feynman47() : this((int) DateTime.Now.Ticks) { }
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17 |
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18 | public Feynman47(int seed) {
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19 | Seed = seed;
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20 | }
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21 |
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22 | protected override List<List<double>> GenerateValues() {
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23 | var rand = new MersenneTwister((uint) Seed);
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24 |
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25 | var data = new List<List<double>>();
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26 | var gamma = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 2, 5).ToList();
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27 | var kb = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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28 | var A = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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29 | var v = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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30 |
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31 | var kappa = new List<double>();
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32 |
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33 | data.Add(gamma);
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34 | data.Add(kb);
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35 | data.Add(A);
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36 | data.Add(v);
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37 | data.Add(kappa);
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38 |
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39 | for (var i = 0; i < gamma.Count; i++) {
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40 | var res = 1.0 / (gamma[i] - 1) * kb[i] * v[i] / A[i];
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41 | kappa.Add(res);
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42 | }
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43 |
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44 | return data;
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45 | }
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46 | }
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47 | } |
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