public void CholeskyDecompositionComputeTest()
        {
            for (Int32 matrixIndex = 0; matrixIndex < this.matrices.Length; matrixIndex++)
            {
                CholeskyDecomposition decomposition = new CholeskyDecomposition(this.matrices[matrixIndex]);
                decomposition.Compute();

                decomposition.L.ShouldBe(this.expectedL[matrixIndex], 0.001);
                decomposition.LT.ShouldBe(this.expectedLT[matrixIndex], 0.001);
            }
        }
        public void CholeskyDecompositionComputeTest()
        {
            for (Int32 i = 0; i < _matrix.Length; i++)
            {
                CholeskyDecomposition decomposition = new CholeskyDecomposition(_matrix[i]);
                decomposition.Compute();

                for (Int32 j = 0; j < _matrix[i].NumberOfRows; j++)
                {
                    for (Int32 k = 0; k < _matrix[i].NumberOfColumns; k++)
                    {
                        Assert.AreEqual(_lExpected[i][j, k], decomposition.L[j, k], 0.01);
                        Assert.AreEqual(_ltExpected[i][j, k], decomposition.LT[j, k], 0.01);
                    }
                }
            }
        }
예제 #3
0
        public static void test_Matrices()
        {
            int N = 200;
            //int N = 2500;
            DenseMatrix           M1 = new DenseMatrix(N, N);
            SymmetricSparseMatrix M2 = new SymmetricSparseMatrix();

            for (int i = 0; i < N; ++i)
            {
                for (int j = i; j < N; ++j)
                {
                    if (i == j)
                    {
                        M1.Set(i, i, N);
                        M2.Set(i, i, N);
                    }
                    else if (j % 2 != 0)
                    {
                        double d = 1.0 / Math.Sqrt(i + j);
                        M1.Set(i, j, d);
                        M1.Set(j, i, d);
                        M2.Set(i, j, d);
                    }
                }
            }


            double[] X = new double[N], b1 = new double[N], b2 = new double[N];
            for (int i = 0; i < N; ++i)
            {
                X[i] = (double)i / (double)N;
            }

            M1.Multiply(X, b1);
            M2.Multiply(X, b2);

            for (int i = 0; i < N; ++i)
            {
                Debug.Assert(MathUtil.EpsilonEqual(b1[i], b2[i]));
            }

            Debug.Assert(M1.IsSymmetric());
            Debug.Assert(M1.IsPositiveDefinite());

            // test parallel cholesky decomposition

            LocalProfiler p = new LocalProfiler();

            p.Start("chol");
            CholeskyDecomposition decompM = new CholeskyDecomposition(M1);

            decompM.ComputeParallel();
            p.Stop("chol");
            //System.Console.WriteLine(p.AllTimes());

            DenseMatrix LLT_M1 = decompM.L.Multiply(decompM.L.Transpose());

            if (LLT_M1.EpsilonEquals(M1) == false)
            {
                System.Console.WriteLine("FAIL  choleskyM1 did not reproduce input");
            }

            // test cholesky-decomp backsubstitution

            Random r = new Random(31337);

            double[] RealX = TestUtil.RandomScalars(N, r, new Interval1d(-10, 10));
            double[] B     = new double[N], SolvedX = new double[N], TmpY = new double[N];
            M1.Multiply(RealX, B);
            decompM.Solve(B, SolvedX, TmpY);
            if (BufferUtil.DistanceSquared(RealX, SolvedX) > MathUtil.ZeroTolerance)
            {
                System.Console.WriteLine("FAIL choleskyM1 backsubstution did not reproduce input vector");
            }


            // test case from: https://people.cs.kuleuven.be/~karl.meerbergen/didactiek/h03g1a/ilu.pdf
            //DenseMatrix tmp = new DenseMatrix(6, 6);
            //tmp.Set(new double[] {
            //    3,0,-1,-1,0,-1,
            //    0,2,0,-1,0,0,
            //    -1,0,3,0,-1,0,
            //    -1,-1,0,2,0,-1,
            //    0,0,-1,0,3,-1,
            //    -1,0,0,-1,-1,4});
            //CholeskyDecomposition decompDense = new CholeskyDecomposition(tmp);
            //decompDense.Compute();
            //PackedSparseMatrix M1_sparse = PackedSparseMatrix.FromDense(tmp, true);
            //M1_sparse.Sort();
            //SparseCholeskyDecomposition decompM1_sparse = new SparseCholeskyDecomposition(M1_sparse);
            //decompM1_sparse.ComputeIncomplete();


            // cholesky decomposition known-result test
            DenseMatrix MSym3x3 = new DenseMatrix(3, 3);

            MSym3x3.Set(new double[] { 25, 15, -5, 15, 18, 0, -5, 0, 11 });
            DenseMatrix MSym3x3_Chol = new DenseMatrix(3, 3);

            MSym3x3_Chol.Set(new double[] { 5, 0, 0, 3, 3, 0, -1, 1, 3 });
            CholeskyDecomposition decomp3x3 = new CholeskyDecomposition(MSym3x3);

            decomp3x3.Compute();
            if (decomp3x3.L.EpsilonEquals(MSym3x3_Chol) == false)
            {
                System.Console.WriteLine("FAIL  cholesky3x3 incorrect result");
            }
            if (decomp3x3.L.Multiply(decomp3x3.L.Transpose()).EpsilonEquals(MSym3x3) == false)
            {
                System.Console.WriteLine("FAIL  cholesky3x3 did not reproduce input");
            }

            // cholesky decomposition known-result test
            DenseMatrix MSym4x4 = new DenseMatrix(4, 4);

            MSym4x4.Set(new double[] {
                18, 22, 54, 42, 22, 70, 86, 62,
                54, 86, 174, 134, 42, 62, 134, 106
            });
            DenseMatrix MSym4x4_Chol = new DenseMatrix(4, 4);

            MSym4x4_Chol.Set(new double[] {
                4.24264, 0, 0, 0, 5.18545, 6.56591, 0, 0,
                12.72792, 3.04604, 1.64974, 0, 9.89949, 1.62455, 1.84971, 1.39262
            });
            CholeskyDecomposition decomp4x4 = new CholeskyDecomposition(MSym4x4);

            decomp4x4.Compute();
            if (decomp4x4.L.EpsilonEquals(MSym4x4_Chol, 0.0001) == false)
            {
                System.Console.WriteLine("FAIL  cholesky4x4 incorrect result");
            }
            if (decomp4x4.L.Multiply(decomp4x4.L.Transpose()).EpsilonEquals(MSym4x4) == false)
            {
                System.Console.WriteLine("FAIL  cholesky4x4 did not reproduce input");
            }
        }