1 | using System;
|
---|
2 | using System.Collections.Generic;
|
---|
3 | using System.Linq;
|
---|
4 | using HeuristicLab.Random;
|
---|
5 |
|
---|
6 | namespace HeuristicLab.Problems.Instances.DataAnalysis {
|
---|
7 | public class Feynman30 : FeynmanDescriptor {
|
---|
8 | public override string Name { get { return "Feynman I.30.3 Int_0*sin(n*theta/2)**2/sin(theta/2)**2"; } }
|
---|
9 |
|
---|
10 | protected override string TargetVariable { get { return "Int"; } }
|
---|
11 | protected override string[] VariableNames { get { return new[] {"Int_0", "theta", "n", "Int"}; } }
|
---|
12 | protected override string[] AllowedInputVariables { get { return new[] {"Int_0", "theta", "n"}; } }
|
---|
13 |
|
---|
14 | public int Seed { get; private set; }
|
---|
15 |
|
---|
16 | public Feynman30() : this((int) DateTime.Now.Ticks) { }
|
---|
17 |
|
---|
18 | public Feynman30(int seed) {
|
---|
19 | Seed = seed;
|
---|
20 | }
|
---|
21 |
|
---|
22 | protected override List<List<double>> GenerateValues() {
|
---|
23 | var rand = new MersenneTwister((uint) Seed);
|
---|
24 |
|
---|
25 | var data = new List<List<double>>();
|
---|
26 | var Int_0 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
|
---|
27 | var theta = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
|
---|
28 | var n = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
|
---|
29 |
|
---|
30 | var Int = new List<double>();
|
---|
31 |
|
---|
32 | data.Add(Int_0);
|
---|
33 | data.Add(theta);
|
---|
34 | data.Add(n);
|
---|
35 | data.Add(Int);
|
---|
36 |
|
---|
37 | for (var i = 0; i < Int_0.Count; i++) {
|
---|
38 | var res = Int_0[i] * Math.Pow(Math.Sin(n[i] * theta[i] / 2), 2) / Math.Pow(Math.Sin(theta[i] / 2), 2);
|
---|
39 | Int.Add(res);
|
---|
40 | }
|
---|
41 |
|
---|
42 | return data;
|
---|
43 | }
|
---|
44 | }
|
---|
45 | } |
---|