| // 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 | 
 |       Map<SparseMatrix<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)); | 
 |   } | 
 | } |