// // 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) 2009-2015 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 MathNet.Numerics.LinearAlgebra; namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Complex { #if NOSYSNUMERICS using Complex = Numerics.Complex; #else using Complex = System.Numerics.Complex; #endif public static class TestData { static readonly MatrixBuilder M = Matrix.Build; static readonly VectorBuilder V = Vector.Build; public static Matrix Matrix(TestMatrix matrix) { switch (matrix) { case TestMatrix.DenseSquare3x3: return M.DenseOfArray(new[,] { { 1d, new Complex(1.1d, -4d), 2d }, { 1d, 1d, 2d }, { 1d, new Complex(1d, 2d), 2d } }); case TestMatrix.DenseSquare3x3b: return M.DenseOfArray(new[,] { { -1.1d, -2.2d, -3.3d }, { 0d, 1.1d, new Complex(2.2d, -1.2d) }, { -4.4d, 5.5d, 6.6d } }); case TestMatrix.DenseSquare3x3c: return M.DenseOfArray(new[,] { { 1d, 2d, 3d }, { 2d, new Complex(2d, 2d), 0d }, { 3d, Complex.Zero, 3d } }); case TestMatrix.DenseSquare4x4: return M.DenseOfArray(new[,] { { new Complex(-1.1d, -2d), -2.2d, -3.3d, -4.4d }, { 0d, 1.1d, 2.2d, 3.3d }, { 1d, 2.1d, 6.2d, 4.3d }, { -4.4d, 5.5d, 6.6d, -7.7d } }); case TestMatrix.DenseSquare4x4b: return M.DenseOfArray(new[,] { { -1.1d, new Complex(-2.2d, 3.4d), -3.3d, -4.4d }, { -1.1d, -2.2d, -3.3d, -4.4d }, { -1.1d, -2.2d, -3.3d, -4.4d }, { -1.1d, -2.2d, -3.3d, -4.4d } }); case TestMatrix.DenseTall3x2: return M.DenseOfArray(new[,] { { -1.1d, -2.2d }, { Complex.Zero, 1.1d }, { -4.4d, 5.5d } }); case TestMatrix.DenseWide2x3: return M.DenseOfArray(new[,] { { -1.1d, -2.2d, -3.3d }, { 0d, new Complex(1.1d, 0.1d), 2.2d } }); case TestMatrix.SparseSquare3x3: return M.SparseOfArray(new[,] { { 7d, 1d, 2d }, { 1d, 1d, 2d }, { 1d, 1d + Complex.ImaginaryOne, 2d } }); case TestMatrix.SparseSquare3x3b: return M.SparseOfArray(new[,] { { 7d, 1d, 2d }, { new Complex(1d, 2d), 0d, Complex.Zero }, { -2d, 0d, 0d } }); case TestMatrix.SparseWide2x3: return M.SparseOfArray(new[,] { { -1.1d, 0d, 0d }, { 0d, new Complex(1.1d, 2d), 2.2d } }); case TestMatrix.DiagonalSquare3x3: return M.Diagonal(3, 3, new[] { new Complex(1d, 1d), -2d, 1.5d }); case TestMatrix.DiagonalSquare3x3b: return M.Diagonal(3, 3, new[] { new Complex(1d, 2d), 0d, -1.5d }); case TestMatrix.UserSquare3x3: return new UserDefinedMatrix(new[,] { { 0d, 1d, 2d }, { -1d, 7.7d, 0d }, { -2d, Complex.Zero, 0d } }); default: throw new NotSupportedException(); } } public static Vector Vector(TestVector vector) { switch (vector) { case TestVector.Dense5: return V.Dense(new[] { new Complex(1, 1), new Complex(2, 1), new Complex(3, 1), new Complex(4, 1), new Complex(5, 1) }); case TestVector.Dense5WithZeros: return V.Dense(new[] { new Complex(2, -1), new Complex(0, 0), new Complex(0, 2), new Complex(-5, 1), new Complex(0, 0) }); case TestVector.Sparse5: return V.SparseOfEnumerable(new[] { new Complex(1, 1), new Complex(2, 1), new Complex(3, 1), new Complex(4, 1), new Complex(5, 1) }); case TestVector.Sparse5WithZeros: return V.SparseOfEnumerable(new[] { new Complex(2, -1), new Complex(0, 0), new Complex(0, 2), new Complex(-5, 1), new Complex(0, 0) }); case TestVector.Sparse5AllZeros: return V.Sparse(5); case TestVector.SparseMaxLengthAllZeros: return V.Sparse(int.MaxValue); default: throw new NotSupportedException(); } } } }