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							187 lines
						
					
					
						
							7.3 KiB
						
					
					
				| // 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) | |
| { | |
|   typedef typename SparseMatrixType::Index Index; | |
| 
 | |
|   const Index rows = ref.rows(); | |
|   const Index cols = ref.cols(); | |
|   typedef typename SparseMatrixType::Scalar Scalar; | |
|   typedef typename SparseMatrixType::Index Index; | |
|   typedef SparseMatrix<Scalar, OtherStorage, Index> OtherSparseMatrixType; | |
|   typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix; | |
|   typedef Matrix<Index,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) )); | |
|   } | |
| }
 |