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 Feynman44 : FeynmanDescriptor {
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8 | public override string Name {
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9 | get { return "Feynman I.41.16 h/(2*pi)*omega**3/(pi**2*c**2*(exp((h/(2*pi))*omega/(kb*T))-1))"; }
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10 | }
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11 |
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12 | protected override string TargetVariable { get { return "L_rad"; } }
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13 | protected override string[] VariableNames { get { return new[] {"omega", "T", "h", "kb", "c", "L_rad"}; } }
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14 | protected override string[] AllowedInputVariables { get { return new[] {"omega", "T", "h", "kb", "c"}; } }
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15 |
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16 | public int Seed { get; private set; }
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17 |
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18 | public Feynman44() : this((int) DateTime.Now.Ticks) { }
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19 |
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20 | public Feynman44(int seed) {
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21 | Seed = seed;
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22 | }
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23 |
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24 | protected override List<List<double>> GenerateValues() {
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25 | var rand = new MersenneTwister((uint) Seed);
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26 |
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27 | var data = new List<List<double>>();
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28 | var omega = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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29 | var T = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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30 | var h = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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31 | var kb = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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32 | var c = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
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33 |
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34 | var L_rad = new List<double>();
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35 |
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36 | data.Add(omega);
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37 | data.Add(T);
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38 | data.Add(h);
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39 | data.Add(kb);
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40 | data.Add(c);
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41 | data.Add(L_rad);
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42 |
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43 | for (var i = 0; i < omega.Count; i++) {
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44 | var res = h[i] / (2 * Math.PI) * Math.Pow(omega[i], 3) / (Math.Pow(Math.PI, 2) * Math.Pow(c[i], 2) * (Math.Exp(h[i] / (2 * Math.PI) * omega[i] / (kb[i] * T[i])) - 1));
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45 | L_rad.Add(res);
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46 | }
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47 |
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48 | return data;
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49 | }
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50 | }
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51 | } |
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