// // Math.NET Numerics, part of the Math.NET Project // http://numerics.mathdotnet.com // http://github.com/mathnet/mathnet-numerics // http://mathnetnumerics.codeplex.com // Copyright (c) 2009-2010 Math.NET // Permission is hereby granted, free of charge, to any person // obtaining a copy of this software and associated documentation // files (the "Software"), to deal in the Software without // restriction, including without limitation the rights to use, // copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the // Software is furnished to do so, subject to the following // conditions: // The above copyright notice and this permission notice shall be // included in all copies or substantial portions of the Software. // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND // NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT // HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, // WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR // OTHER DEALINGS IN THE SOFTWARE. // using System; using System.Globalization; using MathNet.Numerics.LinearAlgebra.Double; namespace Examples.LinearAlgebraExamples { /// /// Matrix norms /// public class MatrixNorms : IExample { /// /// Gets the name of this example /// public string Name { get { return "Matrix norms"; } } /// /// Gets the description of this example /// public string Description { get { return "Examples of matrix norms: L1 norm, L2 norm, Frobenius norm and infinity norm"; } } /// /// Run example /// /// Matrix norm public void Run() { // Format matrix output to console var formatProvider = (CultureInfo)CultureInfo.InvariantCulture.Clone(); formatProvider.TextInfo.ListSeparator = " "; // Create square matrix var matrix = DenseMatrix.OfArray(new[,] { { 1.0, 2.0, 3.0 }, { 6.0, 5.0, 4.0 }, { 8.0, 9.0, 7.0 } }); Console.WriteLine(@"Initial square matrix"); Console.WriteLine(matrix.ToString("#0.00\t", formatProvider)); Console.WriteLine(); // 1. 1-norm of the matrix Console.WriteLine(@"1. 1-norm of the matrix"); Console.WriteLine(matrix.L1Norm()); Console.WriteLine(); // 2. 2-norm of the matrix Console.WriteLine(@"2. 2-norm of the matrix"); Console.WriteLine(matrix.L2Norm()); Console.WriteLine(); // 3. Frobenius norm of the matrix Console.WriteLine(@"3. Frobenius norm of the matrix"); Console.WriteLine(matrix.FrobeniusNorm()); Console.WriteLine(); // 4. Infinity norm of the matrix Console.WriteLine(@"4. Infinity norm of the matrix"); Console.WriteLine(matrix.InfinityNorm()); Console.WriteLine(); // 5. Normalize matrix columns Console.WriteLine(@"5. Normalize matrix columns: before normalize"); foreach (var keyValuePair in matrix.EnumerateColumnsIndexed()) { Console.WriteLine(@"Column {0} 2-nd norm is: {1}", keyValuePair.Item1, keyValuePair.Item2.L2Norm()); } Console.WriteLine(); var normalized = matrix.NormalizeColumns(2); Console.WriteLine(@"5. Normalize matrix columns: after normalize"); foreach (var keyValuePair in normalized.EnumerateColumnsIndexed()) { Console.WriteLine(@"Column {0} 2-nd norm is: {1}", keyValuePair.Item1, keyValuePair.Item2.L2Norm()); } Console.WriteLine(); // 6. Normalize matrix columns Console.WriteLine(@"6. Normalize matrix rows: before normalize"); foreach (var keyValuePair in matrix.EnumerateRowsIndexed()) { Console.WriteLine(@"Row {0} 2-nd norm is: {1}", keyValuePair.Item1, keyValuePair.Item2.L2Norm()); } Console.WriteLine(); normalized = matrix.NormalizeRows(2); Console.WriteLine(@"6. Normalize matrix rows: after normalize"); foreach (var keyValuePair in normalized.EnumerateRowsIndexed()) { Console.WriteLine(@"Row {0} 2-nd norm is: {1}", keyValuePair.Item1, keyValuePair.Item2.L2Norm()); } } } }