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104 lines
4.2 KiB
104 lines
4.2 KiB
// <copyright file="Cholesky.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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// Copyright (c) 2009-2010 Math.NET
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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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// 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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// 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;
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using System.Globalization;
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using MathNet.Numerics.LinearAlgebra.Double;
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namespace Examples.LinearAlgebra.FactorizationExamples
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{
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/// <summary>
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/// Cholesky factorization example. For a symmetric, positive definite matrix A, the Cholesky factorization
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/// is an lower triangular matrix L so that A = L*L'
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/// </summary>
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/// <seealso cref="http://reference.wolfram.com/mathematica/ref/CholeskyDecomposition.html"/>
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public class Cholesky : IExample
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{
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/// <summary>
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/// Gets the name of this example
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/// </summary>
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public string Name
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{
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get
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{
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return "Cholesky factorization";
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}
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}
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/// <summary>
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/// Gets the description of this example
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/// </summary>
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public string Description
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{
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get
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{
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return "Perform the Cholesky factorization to the appropriate class";
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}
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}
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/// <summary>
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/// Run example
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/// </summary>
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/// <seealso cref="http://en.wikipedia.org/wiki/Cholesky_decomposition">Cholesky decomposition</seealso>
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public void Run()
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{
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// Format matrix output to console
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var formatProvider = (CultureInfo)CultureInfo.InvariantCulture.Clone();
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formatProvider.TextInfo.ListSeparator = " ";
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// Create square, symmetric, positive definite matrix
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var matrix = DenseMatrix.OfArray(new[,] { { 2.0, 1.0 }, { 1.0, 2.0 } });
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Console.WriteLine(@"Initial square, symmetric, positive definite matrix");
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Console.WriteLine(matrix.ToString("#0.00\t", formatProvider));
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Console.WriteLine();
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// Perform Cholesky decomposition
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var cholesky = matrix.Cholesky();
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Console.WriteLine(@"Perform Cholesky decomposition");
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// 1. Lower triangular form of the Cholesky matrix
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Console.WriteLine(@"1. Lower triangular form of the Cholesky matrix");
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Console.WriteLine(cholesky.Factor.ToString("#0.00\t", formatProvider));
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Console.WriteLine();
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// 2. Reconstruct initial matrix: A = L * LT
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var reconstruct = cholesky.Factor * cholesky.Factor.Transpose();
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Console.WriteLine(@"2. Reconstruct initial matrix: A = L*LT");
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Console.WriteLine(reconstruct.ToString("#0.00\t", formatProvider));
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Console.WriteLine();
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// 3. Get determinant of the matrix
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Console.WriteLine(@"3. Determinant of the matrix");
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Console.WriteLine(cholesky.Determinant);
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Console.WriteLine();
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// 4. Get log determinant of the matrix
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Console.WriteLine(@"4. Log determinant of the matrix");
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Console.WriteLine(cholesky.DeterminantLn);
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Console.WriteLine();
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}
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}
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}
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