| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr> |
| // |
| // This Source Code Form is subject to the terms of the Mozilla |
| // Public License v. 2.0. If a copy of the MPL was not distributed |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| |
| #include "sparse.h" |
| |
| template<typename Scalar> void |
| initSPD(double density, |
| Matrix<Scalar,Dynamic,Dynamic>& refMat, |
| SparseMatrix<Scalar>& sparseMat) |
| { |
| Matrix<Scalar,Dynamic,Dynamic> aux(refMat.rows(),refMat.cols()); |
| initSparse(density,refMat,sparseMat); |
| refMat = refMat * refMat.adjoint(); |
| for (int k=0; k<2; ++k) |
| { |
| initSparse(density,aux,sparseMat,ForceNonZeroDiag); |
| refMat += aux * aux.adjoint(); |
| } |
| sparseMat.setZero(); |
| for (int j=0 ; j<sparseMat.cols(); ++j) |
| for (int i=j ; i<sparseMat.rows(); ++i) |
| if (refMat(i,j)!=Scalar(0)) |
| sparseMat.insert(i,j) = refMat(i,j); |
| sparseMat.finalize(); |
| } |
| |
| template<typename Scalar> void sparse_solvers(int rows, int cols) |
| { |
| double density = (std::max)(8./(rows*cols), 0.01); |
| typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix; |
| typedef Matrix<Scalar,Dynamic,1> DenseVector; |
| // Scalar eps = 1e-6; |
| |
| DenseVector vec1 = DenseVector::Random(rows); |
| |
| std::vector<Vector2i> zeroCoords; |
| std::vector<Vector2i> nonzeroCoords; |
| |
| // test triangular solver |
| { |
| DenseVector vec2 = vec1, vec3 = vec1; |
| SparseMatrix<Scalar> m2(rows, cols); |
| DenseMatrix refMat2 = DenseMatrix::Zero(rows, cols); |
| |
| // lower - dense |
| initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); |
| VERIFY_IS_APPROX(refMat2.template triangularView<Lower>().solve(vec2), |
| m2.template triangularView<Lower>().solve(vec3)); |
| |
| // upper - dense |
| initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords); |
| VERIFY_IS_APPROX(refMat2.template triangularView<Upper>().solve(vec2), |
| m2.template triangularView<Upper>().solve(vec3)); |
| VERIFY_IS_APPROX(refMat2.conjugate().template triangularView<Upper>().solve(vec2), |
| m2.conjugate().template triangularView<Upper>().solve(vec3)); |
| { |
| SparseMatrix<Scalar> cm2(m2); |
| //Index rows, Index cols, Index nnz, Index* outerIndexPtr, Index* innerIndexPtr, Scalar* valuePtr |
| MappedSparseMatrix<Scalar> mm2(rows, cols, cm2.nonZeros(), cm2.outerIndexPtr(), cm2.innerIndexPtr(), cm2.valuePtr()); |
| VERIFY_IS_APPROX(refMat2.conjugate().template triangularView<Upper>().solve(vec2), |
| mm2.conjugate().template triangularView<Upper>().solve(vec3)); |
| } |
| |
| // lower - transpose |
| initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); |
| VERIFY_IS_APPROX(refMat2.transpose().template triangularView<Upper>().solve(vec2), |
| m2.transpose().template triangularView<Upper>().solve(vec3)); |
| |
| // upper - transpose |
| initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords); |
| VERIFY_IS_APPROX(refMat2.transpose().template triangularView<Lower>().solve(vec2), |
| m2.transpose().template triangularView<Lower>().solve(vec3)); |
| |
| SparseMatrix<Scalar> matB(rows, rows); |
| DenseMatrix refMatB = DenseMatrix::Zero(rows, rows); |
| |
| // lower - sparse |
| initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular); |
| initSparse<Scalar>(density, refMatB, matB); |
| refMat2.template triangularView<Lower>().solveInPlace(refMatB); |
| m2.template triangularView<Lower>().solveInPlace(matB); |
| VERIFY_IS_APPROX(matB.toDense(), refMatB); |
| |
| // upper - sparse |
| initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular); |
| initSparse<Scalar>(density, refMatB, matB); |
| refMat2.template triangularView<Upper>().solveInPlace(refMatB); |
| m2.template triangularView<Upper>().solveInPlace(matB); |
| VERIFY_IS_APPROX(matB, refMatB); |
| |
| // test deprecated API |
| initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); |
| VERIFY_IS_APPROX(refMat2.template triangularView<Lower>().solve(vec2), |
| m2.template triangularView<Lower>().solve(vec3)); |
| |
| // test empty triangular matrix |
| { |
| m2.resize(0,0); |
| refMatB.resize(0,refMatB.cols()); |
| DenseMatrix res = m2.template triangularView<Lower>().solve(refMatB); |
| VERIFY_IS_EQUAL(res.rows(),0); |
| VERIFY_IS_EQUAL(res.cols(),refMatB.cols()); |
| res = refMatB; |
| m2.template triangularView<Lower>().solveInPlace(res); |
| VERIFY_IS_EQUAL(res.rows(),0); |
| VERIFY_IS_EQUAL(res.cols(),refMatB.cols()); |
| } |
| } |
| } |
| |
| EIGEN_DECLARE_TEST(sparse_solvers) |
| { |
| for(int i = 0; i < g_repeat; i++) { |
| CALL_SUBTEST_1(sparse_solvers<double>(8, 8) ); |
| int s = internal::random<int>(1,300); |
| CALL_SUBTEST_2(sparse_solvers<std::complex<double> >(s,s) ); |
| CALL_SUBTEST_1(sparse_solvers<double>(s,s) ); |
| } |
| } |