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140 lines
5.7 KiB
140 lines
5.7 KiB
// <copyright file="MatrixLoader.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://numerics.mathdotnet.com
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// http://github.com/mathnet/mathnet-numerics
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// http://mathnetnumerics.codeplex.com
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//
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// Copyright (c) 2009-2013 Math.NET
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//
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// Permission is hereby granted, free of charge, to any person
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// obtaining a copy of this software and associated documentation
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// files (the "Software"), to deal in the Software without
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// restriction, including without limitation the rights to use,
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// copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the
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// Software is furnished to do so, subject to the following
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// conditions:
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//
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// The above copyright notice and this permission notice shall be
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// included in all copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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// OTHER DEALINGS IN THE SOFTWARE.
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// </copyright>
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using System.Collections.Generic;
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using MathNet.Numerics.Distributions;
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using MathNet.Numerics.LinearAlgebra;
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using MathNet.Numerics.LinearAlgebra.Double;
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using MathNet.Numerics.Random;
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using NUnit.Framework;
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namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
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{
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/// <summary>
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/// Base class for matrix tests.
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/// </summary>
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public abstract class MatrixLoader
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{
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/// <summary>
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/// Gets or sets test matrices values to use.
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/// </summary>
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protected Dictionary<string, double[,]> TestData2D { get; set; }
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/// <summary>
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/// Gets or sets test matrices instances to use.
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/// </summary>
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protected Dictionary<string, Matrix<double>> TestMatrices { get; set; }
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/// <summary>
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/// Creates a matrix for the given number of rows and columns.
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/// </summary>
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/// <param name="rows">The number of rows.</param>
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/// <param name="columns">The number of columns.</param>
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/// <returns>A matrix with the given dimensions.</returns>
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protected abstract Matrix<double> CreateMatrix(int rows, int columns);
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/// <summary>
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/// Creates a matrix from a 2D array.
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/// </summary>
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/// <param name="data">The 2D array to create this matrix from.</param>
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/// <returns>A matrix with the given values.</returns>
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protected abstract Matrix<double> CreateMatrix(double[,] data);
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/// <summary>
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/// Creates a vector of the given size.
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/// </summary>
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/// <param name="size">The size of the vector to create.
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/// </param>
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/// <returns>The new vector. </returns>
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protected abstract Vector<double> CreateVector(int size);
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/// <summary>
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/// Creates a vector from an array.
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/// </summary>
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/// <param name="data">The array to create this vector from.</param>
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/// <returns>The new vector. </returns>
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protected abstract Vector<double> CreateVector(double[] data);
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/// <summary>
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/// Setup test matrices.
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/// </summary>
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[SetUp]
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public virtual void SetupMatrices()
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{
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TestData2D = new Dictionary<string, double[,]>
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{
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{"Singular3x3", new[,] {{1.0, 1.0, 2.0}, {1.0, 1.0, 2.0}, {1.0, 1.0, 2.0}}},
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{"Square3x3", new[,] {{-1.1, -2.2, -3.3}, {0.0, 1.1, 2.2}, {-4.4, 5.5, 6.6}}},
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{"Square4x4", new[,] {{-1.1, -2.2, -3.3, -4.4}, {0.0, 1.1, 2.2, 3.3}, {1.0, 2.1, 6.2, 4.3}, {-4.4, 5.5, 6.6, -7.7}}},
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{"Singular4x4", new[,] {{-1.1, -2.2, -3.3, -4.4}, {-1.1, -2.2, -3.3, -4.4}, {-1.1, -2.2, -3.3, -4.4}, {-1.1, -2.2, -3.3, -4.4}}},
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{"Tall3x2", new[,] {{-1.1, -2.2}, {0.0, 1.1}, {-4.4, 5.5}}},
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{"Wide2x3", new[,] {{-1.1, -2.2, -3.3}, {0.0, 1.1, 2.2}}},
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{"Symmetric3x3", new[,] {{1.0, 2.0, 3.0}, {2.0, 2.0, 0.0}, {3.0, 0.0, 3.0}}}
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};
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TestMatrices = new Dictionary<string, Matrix<double>>();
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foreach (var name in TestData2D.Keys)
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{
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TestMatrices.Add(name, CreateMatrix(TestData2D[name]));
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}
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}
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public static Matrix<double> GenerateRandomDenseMatrix(int row, int col)
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{
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return DenseMatrix.CreateRandom(row, col, new Normal(new MersenneTwister(1)));
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}
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public static Matrix<double> GenerateRandomPositiveDefiniteDenseMatrix(int order)
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{
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var a = DenseMatrix.CreateRandom(order, order, new Normal(new MersenneTwister(1)));
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return a.TransposeThisAndMultiply(a);
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}
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public static Vector<double> GenerateRandomDenseVector(int order)
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{
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return DenseVector.CreateRandom(order, new Normal(new MersenneTwister(1)));
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}
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public static Matrix<double> GenerateRandomUserDefinedMatrix(int row, int col)
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{
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return new UserDefinedMatrix(GenerateRandomDenseMatrix(row, col).ToArray());
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}
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public static Matrix<double> GenerateRandomPositiveDefiniteUserDefinedMatrix(int order)
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{
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return new UserDefinedMatrix(GenerateRandomPositiveDefiniteDenseMatrix(order).ToArray());
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}
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public static Vector<double> GenerateRandomUserDefinedVector(int order)
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{
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return new UserDefinedVector(GenerateRandomDenseVector(order).ToArray());
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}
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}
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}
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