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134 lines
5.3 KiB
134 lines
5.3 KiB
// <copyright file="LU.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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/// LU factorization example. For a matrix A, the LU factorization is a pair of lower triangular matrix L and
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/// upper triangular matrix U so that A = L*U.
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/// In the Math.Net implementation we also store a set of pivot elements for increased
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/// numerical stability. The pivot elements encode a permutation matrix P such that P*A = L*U
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/// </summary>
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/// <seealso cref="http://reference.wolfram.com/mathematica/ref/LUDecomposition.html"/>
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public class LU : 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 "LU 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 LU 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/LU_decomposition">LU decomposition</seealso>
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/// <seealso cref="http://en.wikipedia.org/wiki/Invertible_matrix">Invertible matrix</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 matrix
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var matrix = DenseMatrix.OfArray(new[,] { { 1.0, 2.0 }, { 3.0, 4.0 } });
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Console.WriteLine(@"Initial square matrix");
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Console.WriteLine(matrix.ToString("#0.00\t", formatProvider));
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Console.WriteLine();
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// Perform LU decomposition
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var lu = matrix.LU();
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Console.WriteLine(@"Perform LU decomposition");
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// 1. Lower triangular factor
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Console.WriteLine(@"1. Lower triangular factor");
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Console.WriteLine(lu.L.ToString("#0.00\t", formatProvider));
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Console.WriteLine();
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// 2. Upper triangular factor
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Console.WriteLine(@"2. Upper triangular factor");
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Console.WriteLine(lu.U.ToString("#0.00\t", formatProvider));
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Console.WriteLine();
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// 3. Permutations applied to LU factorization
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Console.WriteLine(@"3. Permutations applied to LU factorization");
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for (var i = 0; i < lu.P.Dimension; i++)
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{
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if (lu.P[i] > i)
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{
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Console.WriteLine(@"Row {0} permuted with row {1}", lu.P[i], i);
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}
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}
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Console.WriteLine();
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// 4. Reconstruct initial matrix: PA = L * U
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var reconstruct = lu.L * lu.U;
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// The rows of the reconstructed matrix should be permuted to get the initial matrix
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reconstruct.PermuteRows(lu.P.Inverse());
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Console.WriteLine(@"4. Reconstruct initial matrix: PA = L*U");
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Console.WriteLine(reconstruct.ToString("#0.00\t", formatProvider));
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Console.WriteLine();
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// 5. Get the determinant of the matrix
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Console.WriteLine(@"5. Determinant of the matrix");
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Console.WriteLine(lu.Determinant);
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Console.WriteLine();
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// 6. Get the inverse of the matrix
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var matrixInverse = lu.Inverse();
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Console.WriteLine(@"6. Inverse of the matrix");
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Console.WriteLine(matrixInverse.ToString("#0.00\t", formatProvider));
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Console.WriteLine();
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// 7. Matrix multiplied by its inverse
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var identity = matrix * matrixInverse;
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Console.WriteLine(@"7. Matrix multiplied by its inverse ");
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Console.WriteLine(identity.ToString("#0.00\t", formatProvider));
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Console.WriteLine();
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}
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}
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}
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