|  | // This file is part of Eigen, a lightweight C++ template library | 
|  | // for linear algebra. | 
|  | // | 
|  | // Copyright (C) 2011 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<int OtherStorage, typename SparseMatrixType> void sparse_permutations(const SparseMatrixType& ref) | 
|  | { | 
|  | const Index rows = ref.rows(); | 
|  | const Index cols = ref.cols(); | 
|  | typedef typename SparseMatrixType::Scalar Scalar; | 
|  | typedef typename SparseMatrixType::StorageIndex StorageIndex; | 
|  | typedef SparseMatrix<Scalar, OtherStorage, StorageIndex> OtherSparseMatrixType; | 
|  | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix; | 
|  | typedef Matrix<StorageIndex,Dynamic,1> VectorI; | 
|  |  | 
|  | double density = (std::max)(8./(rows*cols), 0.01); | 
|  |  | 
|  | SparseMatrixType mat(rows, cols), up(rows,cols), lo(rows,cols); | 
|  | OtherSparseMatrixType res; | 
|  | DenseMatrix mat_d = DenseMatrix::Zero(rows, cols), up_sym_d, lo_sym_d, res_d; | 
|  |  | 
|  | initSparse<Scalar>(density, mat_d, mat, 0); | 
|  |  | 
|  | up = mat.template triangularView<Upper>(); | 
|  | lo = mat.template triangularView<Lower>(); | 
|  |  | 
|  | up_sym_d = mat_d.template selfadjointView<Upper>(); | 
|  | lo_sym_d = mat_d.template selfadjointView<Lower>(); | 
|  |  | 
|  | VERIFY_IS_APPROX(mat, mat_d); | 
|  | VERIFY_IS_APPROX(up, DenseMatrix(mat_d.template triangularView<Upper>())); | 
|  | VERIFY_IS_APPROX(lo, DenseMatrix(mat_d.template triangularView<Lower>())); | 
|  |  | 
|  | PermutationMatrix<Dynamic> p, p_null; | 
|  | VectorI pi; | 
|  | randomPermutationVector(pi, cols); | 
|  | p.indices() = pi; | 
|  |  | 
|  | res = mat*p; | 
|  | res_d = mat_d*p; | 
|  | VERIFY(res.isApprox(res_d) && "mat*p"); | 
|  |  | 
|  | res = p*mat; | 
|  | res_d = p*mat_d; | 
|  | VERIFY(res.isApprox(res_d) && "p*mat"); | 
|  |  | 
|  | res = mat*p.inverse(); | 
|  | res_d = mat*p.inverse(); | 
|  | VERIFY(res.isApprox(res_d) && "mat*inv(p)"); | 
|  |  | 
|  | res = p.inverse()*mat; | 
|  | res_d = p.inverse()*mat_d; | 
|  | VERIFY(res.isApprox(res_d) && "inv(p)*mat"); | 
|  |  | 
|  | res = mat.twistedBy(p); | 
|  | res_d = (p * mat_d) * p.inverse(); | 
|  | VERIFY(res.isApprox(res_d) && "p*mat*inv(p)"); | 
|  |  | 
|  |  | 
|  | res = mat.template selfadjointView<Upper>().twistedBy(p_null); | 
|  | res_d = up_sym_d; | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint upper to full"); | 
|  |  | 
|  | res = mat.template selfadjointView<Lower>().twistedBy(p_null); | 
|  | res_d = lo_sym_d; | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint lower to full"); | 
|  |  | 
|  |  | 
|  | res = up.template selfadjointView<Upper>().twistedBy(p_null); | 
|  | res_d = up_sym_d; | 
|  | VERIFY(res.isApprox(res_d) && "upper selfadjoint to full"); | 
|  |  | 
|  | res = lo.template selfadjointView<Lower>().twistedBy(p_null); | 
|  | res_d = lo_sym_d; | 
|  | VERIFY(res.isApprox(res_d) && "lower selfadjoint full"); | 
|  |  | 
|  |  | 
|  | res = mat.template selfadjointView<Upper>(); | 
|  | res_d = up_sym_d; | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint upper to full"); | 
|  |  | 
|  | res = mat.template selfadjointView<Lower>(); | 
|  | res_d = lo_sym_d; | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint lower to full"); | 
|  |  | 
|  | res = up.template selfadjointView<Upper>(); | 
|  | res_d = up_sym_d; | 
|  | VERIFY(res.isApprox(res_d) && "upper selfadjoint to full"); | 
|  |  | 
|  | res = lo.template selfadjointView<Lower>(); | 
|  | res_d = lo_sym_d; | 
|  | VERIFY(res.isApprox(res_d) && "lower selfadjoint full"); | 
|  |  | 
|  |  | 
|  | res.template selfadjointView<Upper>() = mat.template selfadjointView<Upper>(); | 
|  | res_d = up_sym_d.template triangularView<Upper>(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint upper to upper"); | 
|  |  | 
|  | res.template selfadjointView<Lower>() = mat.template selfadjointView<Upper>(); | 
|  | res_d = up_sym_d.template triangularView<Lower>(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint upper to lower"); | 
|  |  | 
|  | res.template selfadjointView<Upper>() = mat.template selfadjointView<Lower>(); | 
|  | res_d = lo_sym_d.template triangularView<Upper>(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint lower to upper"); | 
|  |  | 
|  | res.template selfadjointView<Lower>() = mat.template selfadjointView<Lower>(); | 
|  | res_d = lo_sym_d.template triangularView<Lower>(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint lower to lower"); | 
|  |  | 
|  |  | 
|  |  | 
|  | res.template selfadjointView<Upper>() = mat.template selfadjointView<Upper>().twistedBy(p); | 
|  | res_d = ((p * up_sym_d) * p.inverse()).eval().template triangularView<Upper>(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint upper twisted to upper"); | 
|  |  | 
|  | res.template selfadjointView<Upper>() = mat.template selfadjointView<Lower>().twistedBy(p); | 
|  | res_d = ((p * lo_sym_d) * p.inverse()).eval().template triangularView<Upper>(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint lower twisted to upper"); | 
|  |  | 
|  | res.template selfadjointView<Lower>() = mat.template selfadjointView<Lower>().twistedBy(p); | 
|  | res_d = ((p * lo_sym_d) * p.inverse()).eval().template triangularView<Lower>(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint lower twisted to lower"); | 
|  |  | 
|  | res.template selfadjointView<Lower>() = mat.template selfadjointView<Upper>().twistedBy(p); | 
|  | res_d = ((p * up_sym_d) * p.inverse()).eval().template triangularView<Lower>(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint upper twisted to lower"); | 
|  |  | 
|  |  | 
|  | res.template selfadjointView<Upper>() = up.template selfadjointView<Upper>().twistedBy(p); | 
|  | res_d = ((p * up_sym_d) * p.inverse()).eval().template triangularView<Upper>(); | 
|  | VERIFY(res.isApprox(res_d) && "upper selfadjoint twisted to upper"); | 
|  |  | 
|  | res.template selfadjointView<Upper>() = lo.template selfadjointView<Lower>().twistedBy(p); | 
|  | res_d = ((p * lo_sym_d) * p.inverse()).eval().template triangularView<Upper>(); | 
|  | VERIFY(res.isApprox(res_d) && "lower selfadjoint twisted to upper"); | 
|  |  | 
|  | res.template selfadjointView<Lower>() = lo.template selfadjointView<Lower>().twistedBy(p); | 
|  | res_d = ((p * lo_sym_d) * p.inverse()).eval().template triangularView<Lower>(); | 
|  | VERIFY(res.isApprox(res_d) && "lower selfadjoint twisted to lower"); | 
|  |  | 
|  | res.template selfadjointView<Lower>() = up.template selfadjointView<Upper>().twistedBy(p); | 
|  | res_d = ((p * up_sym_d) * p.inverse()).eval().template triangularView<Lower>(); | 
|  | VERIFY(res.isApprox(res_d) && "upper selfadjoint twisted to lower"); | 
|  |  | 
|  |  | 
|  | res = mat.template selfadjointView<Upper>().twistedBy(p); | 
|  | res_d = (p * up_sym_d) * p.inverse(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint upper twisted to full"); | 
|  |  | 
|  | res = mat.template selfadjointView<Lower>().twistedBy(p); | 
|  | res_d = (p * lo_sym_d) * p.inverse(); | 
|  | VERIFY(res.isApprox(res_d) && "full selfadjoint lower twisted to full"); | 
|  |  | 
|  | res = up.template selfadjointView<Upper>().twistedBy(p); | 
|  | res_d = (p * up_sym_d) * p.inverse(); | 
|  | VERIFY(res.isApprox(res_d) && "upper selfadjoint twisted to full"); | 
|  |  | 
|  | res = lo.template selfadjointView<Lower>().twistedBy(p); | 
|  | res_d = (p * lo_sym_d) * p.inverse(); | 
|  | VERIFY(res.isApprox(res_d) && "lower selfadjoint twisted to full"); | 
|  | } | 
|  |  | 
|  | template<typename Scalar> void sparse_permutations_all(int size) | 
|  | { | 
|  | CALL_SUBTEST(( sparse_permutations<ColMajor>(SparseMatrix<Scalar, ColMajor>(size,size)) )); | 
|  | CALL_SUBTEST(( sparse_permutations<ColMajor>(SparseMatrix<Scalar, RowMajor>(size,size)) )); | 
|  | CALL_SUBTEST(( sparse_permutations<RowMajor>(SparseMatrix<Scalar, ColMajor>(size,size)) )); | 
|  | CALL_SUBTEST(( sparse_permutations<RowMajor>(SparseMatrix<Scalar, RowMajor>(size,size)) )); | 
|  | } | 
|  |  | 
|  | void test_sparse_permutations() | 
|  | { | 
|  | for(int i = 0; i < g_repeat; i++) { | 
|  | int s = Eigen::internal::random<int>(1,50); | 
|  | CALL_SUBTEST_1((  sparse_permutations_all<double>(s) )); | 
|  | CALL_SUBTEST_2((  sparse_permutations_all<std::complex<double> >(s) )); | 
|  | } | 
|  | } |