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							84 lines
						
					
					
						
							2.7 KiB
						
					
					
				| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. Eigen itself is part of the KDE project. | |
| // | |
| // Copyright (C) 2008 Daniel Gomez Ferro <dgomezferro@gmail.com> | |
| // | |
| // 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 sparse_vector(int rows, int cols) | |
| { | |
|   double densityMat = std::max(8./(rows*cols), 0.01); | |
|   double densityVec = std::max(8./float(rows), 0.1); | |
|   typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix; | |
|   typedef Matrix<Scalar,Dynamic,1> DenseVector; | |
|   typedef SparseVector<Scalar> SparseVectorType; | |
|   typedef SparseMatrix<Scalar> SparseMatrixType; | |
|   Scalar eps = 1e-6; | |
| 
 | |
|   SparseMatrixType m1(rows,cols); | |
|   SparseVectorType v1(rows), v2(rows), v3(rows); | |
|   DenseMatrix refM1 = DenseMatrix::Zero(rows, cols); | |
|   DenseVector refV1 = DenseVector::Random(rows), | |
|     refV2 = DenseVector::Random(rows), | |
|     refV3 = DenseVector::Random(rows); | |
| 
 | |
|   std::vector<int> zerocoords, nonzerocoords; | |
|   initSparse<Scalar>(densityVec, refV1, v1, &zerocoords, &nonzerocoords); | |
|   initSparse<Scalar>(densityMat, refM1, m1); | |
| 
 | |
|   initSparse<Scalar>(densityVec, refV2, v2); | |
|   initSparse<Scalar>(densityVec, refV3, v3); | |
| 
 | |
|   Scalar s1 = ei_random<Scalar>(); | |
| 
 | |
|   // test coeff and coeffRef | |
|   for (unsigned int i=0; i<zerocoords.size(); ++i) | |
|   { | |
|     VERIFY_IS_MUCH_SMALLER_THAN( v1.coeff(zerocoords[i]), eps ); | |
|     //VERIFY_RAISES_ASSERT( v1.coeffRef(zerocoords[i]) = 5 ); | |
|   } | |
|   { | |
|     VERIFY(int(nonzerocoords.size()) == v1.nonZeros()); | |
|     int j=0; | |
|     for (typename SparseVectorType::InnerIterator it(v1); it; ++it,++j) | |
|     { | |
|       VERIFY(nonzerocoords[j]==it.index()); | |
|       VERIFY(it.value()==v1.coeff(it.index())); | |
|       VERIFY(it.value()==refV1.coeff(it.index())); | |
|     } | |
|   } | |
|   VERIFY_IS_APPROX(v1, refV1); | |
| 
 | |
|   v1.coeffRef(nonzerocoords[0]) = Scalar(5); | |
|   refV1.coeffRef(nonzerocoords[0]) = Scalar(5); | |
|   VERIFY_IS_APPROX(v1, refV1); | |
| 
 | |
|   VERIFY_IS_APPROX(v1+v2, refV1+refV2); | |
|   VERIFY_IS_APPROX(v1+v2+v3, refV1+refV2+refV3); | |
| 
 | |
|   VERIFY_IS_APPROX(v1*s1-v2, refV1*s1-refV2); | |
| 
 | |
|   VERIFY_IS_APPROX(v1*=s1, refV1*=s1); | |
|   VERIFY_IS_APPROX(v1/=s1, refV1/=s1); | |
|    | |
|   VERIFY_IS_APPROX(v1+=v2, refV1+=refV2); | |
|   VERIFY_IS_APPROX(v1-=v2, refV1-=refV2); | |
| 
 | |
|   VERIFY_IS_APPROX(v1.eigen2_dot(v2), refV1.eigen2_dot(refV2)); | |
|   VERIFY_IS_APPROX(v1.eigen2_dot(refV2), refV1.eigen2_dot(refV2)); | |
| 
 | |
| } | |
| 
 | |
| void test_eigen2_sparse_vector() | |
| { | |
|   for(int i = 0; i < g_repeat; i++) { | |
|     CALL_SUBTEST_1( sparse_vector<double>(8, 8) ); | |
|     CALL_SUBTEST_2( sparse_vector<std::complex<double> >(16, 16) ); | |
|     CALL_SUBTEST_1( sparse_vector<double>(299, 535) ); | |
|   } | |
| } | |
| 
 |