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							74 lines
						
					
					
						
							2.5 KiB
						
					
					
				| // This file is triangularView of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2008-2009 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 "main.h" | |
|  | |
| template<typename MatrixType> void bandmatrix(const MatrixType& _m) | |
| { | |
|   typedef typename MatrixType::Index Index; | |
|   typedef typename MatrixType::Scalar Scalar; | |
|   typedef typename NumTraits<Scalar>::Real RealScalar; | |
|   typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrixType; | |
| 
 | |
|   Index rows = _m.rows(); | |
|   Index cols = _m.cols(); | |
|   Index supers = _m.supers(); | |
|   Index subs = _m.subs(); | |
| 
 | |
|   MatrixType m(rows,cols,supers,subs); | |
| 
 | |
|   DenseMatrixType dm1(rows,cols); | |
|   dm1.setZero(); | |
| 
 | |
|   m.diagonal().setConstant(123); | |
|   dm1.diagonal().setConstant(123); | |
|   for (int i=1; i<=m.supers();++i) | |
|   { | |
|     m.diagonal(i).setConstant(static_cast<RealScalar>(i)); | |
|     dm1.diagonal(i).setConstant(static_cast<RealScalar>(i)); | |
|   } | |
|   for (int i=1; i<=m.subs();++i) | |
|   { | |
|     m.diagonal(-i).setConstant(-static_cast<RealScalar>(i)); | |
|     dm1.diagonal(-i).setConstant(-static_cast<RealScalar>(i)); | |
|   } | |
|   //std::cerr << m.m_data << "\n\n" << m.toDense() << "\n\n" << dm1 << "\n\n\n\n"; | |
|   VERIFY_IS_APPROX(dm1,m.toDenseMatrix()); | |
| 
 | |
|   for (int i=0; i<cols; ++i) | |
|   { | |
|     m.col(i).setConstant(static_cast<RealScalar>(i+1)); | |
|     dm1.col(i).setConstant(static_cast<RealScalar>(i+1)); | |
|   } | |
|   Index d = (std::min)(rows,cols); | |
|   Index a = std::max<Index>(0,cols-d-supers); | |
|   Index b = std::max<Index>(0,rows-d-subs); | |
|   if(a>0) dm1.block(0,d+supers,rows,a).setZero(); | |
|   dm1.block(0,supers+1,cols-supers-1-a,cols-supers-1-a).template triangularView<Upper>().setZero(); | |
|   dm1.block(subs+1,0,rows-subs-1-b,rows-subs-1-b).template triangularView<Lower>().setZero(); | |
|   if(b>0) dm1.block(d+subs,0,b,cols).setZero(); | |
|   //std::cerr << m.m_data << "\n\n" << m.toDense() << "\n\n" << dm1 << "\n\n"; | |
|   VERIFY_IS_APPROX(dm1,m.toDenseMatrix()); | |
| 
 | |
| } | |
| 
 | |
| using Eigen::internal::BandMatrix; | |
| 
 | |
| void test_bandmatrix() | |
| { | |
|   typedef BandMatrix<float>::Index Index; | |
| 
 | |
|   for(int i = 0; i < 10*g_repeat ; i++) { | |
|     Index rows = internal::random<Index>(1,10); | |
|     Index cols = internal::random<Index>(1,10); | |
|     Index sups = internal::random<Index>(0,cols-1); | |
|     Index subs = internal::random<Index>(0,rows-1); | |
|     CALL_SUBTEST(bandmatrix(BandMatrix<float>(rows,cols,sups,subs)) ); | |
|   } | |
| }
 |