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 Feynman32 : FeynmanDescriptor {
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8 | public override string Name { get { return "Feynman I.32.5 q**2*a**2/(6*pi*epsilon*c**3)"; } }
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9 |
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10 | protected override string TargetVariable { get { return "Pwr"; } }
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11 | protected override string[] VariableNames { get { return new string[] {"q", "a", "epsilon", "c", "Pwr"}; } }
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12 | protected override string[] AllowedInputVariables { get { return new string[] {"q", "a", "epsilon", "c"}; } }
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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 Feynman32() : this((int) System.DateTime.Now.Ticks) { }
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17 |
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18 | public Feynman32(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 q = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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27 | var a = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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28 | var epsilon = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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29 | var c = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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30 |
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31 | var Pwr = new List<double>();
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32 |
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33 | data.Add(q);
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34 | data.Add(a);
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35 | data.Add(epsilon);
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36 | data.Add(c);
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37 | data.Add(Pwr);
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38 |
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39 | for (var i = 0; i < q.Count; i++) {
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40 | var res = Math.Pow(q[i], 2) * Math.Pow(a[i], 2) / (6 * Math.PI * epsilon[i] * Math.Pow(c[i], 3));
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41 | Pwr.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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