[17638] | 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 System.Text;
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| 5 | using System.Threading.Tasks;
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| 6 | using HeuristicLab.Common;
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| 7 | using HeuristicLab.Random;
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| 8 |
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| 9 | namespace HeuristicLab.Problems.Instances.DataAnalysis {
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| 10 | public class Feynman3 : FeynmanDescriptor{
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| 11 | public override string Name { get { return "Feynman I.6.2b f = exp(-((theta-theta1)/sigma)^2/2)/(sqrt(2*pi)*sigma)"; } }
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| 12 |
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| 13 | protected override string TargetVariable { get { return "f"; } }
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| 14 | protected override string[] VariableNames { get { return new string[] { "sigma", "theta", "theta1", "f"}; } }
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| 15 | protected override string[] AllowedInputVariables { get { return new string[] { "sigma", "theta", "theta1" }; } }
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| 16 |
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| 17 | public int Seed { get; private set; }
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| 18 |
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| 19 | public Feynman3() : this((int)System.DateTime.Now.Ticks) { }
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| 20 |
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| 21 | public Feynman3(int seed) {
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| 22 | Seed = seed;
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| 23 | }
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| 24 |
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| 25 | protected override List<List<double>> GenerateValues() {
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| 26 | var rand = new MersenneTwister((uint)Seed);
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| 27 |
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| 28 | var data = new List<List<double>>();
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| 29 | var sigma = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 3).ToList();
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| 30 | var theta = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 3).ToList();
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| 31 | var theta1 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 3).ToList();
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| 32 |
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| 33 | var f = new List<double>();
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| 34 |
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| 35 | data.Add(sigma);
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| 36 | data.Add(theta);
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| 37 | data.Add(theta1);
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| 38 | data.Add(f);
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| 39 |
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| 40 |
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| 41 | for (var i = 0; i < theta.Count; i++) {
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| 42 | var res = Math.Exp(-(Math.Pow(theta[i] - theta1[i], 2) / sigma[i]) / 2) / (Math.Sqrt(2 * Math.PI) * sigma[i]);
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| 43 | f.Add(res);
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| 44 | }
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| 45 |
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| 46 |
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| 47 | return data;
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| 48 | }
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| 49 | }
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| 50 | }
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