161 lines
4.5 KiB
C++
Executable File
161 lines
4.5 KiB
C++
Executable File
// Copyright (c) 2005-2008 Inria Loria (France).
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/*
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* author: Bruno Levy, INRIA, project ALICE
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* website: http://www.loria.fr/~levy/software
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation, either version 3
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* of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with this library; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*
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* Scientific work that use this software can reference the website and
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* the following publication:
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*
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* @INPROCEEDINGS {levy:NMDGP:05,
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* AUTHOR = Bruno Levy,
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* TITLE = Numerical Methods for Digital Geometry Processing,
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* BOOKTITLE =Israel Korea Bi-National Conference,
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* YEAR=November 2005,
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* URL=http://www.loria.fr/~levy/php/article.php?pub=../publications/papers/2005/Numerics
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* }
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*
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* Laurent Saboret 01/2005: Change for CGAL:
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* - Added OpenNL namespace
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* - FullVector is now a model of the SparseLinearAlgebraTraits_d::Vector concept
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* - Coefficients are initialized with zeros
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*
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* $URL$
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* $Id$
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* SPDX-License-Identifier: LGPL-3.0+
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*/
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#ifndef __OPENNL_FULL_VECTOR__
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#define __OPENNL_FULL_VECTOR__
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#include <CGAL/OpenNL/blas.h>
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#include <CGAL/assertions.h>
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#include <cstdlib>
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namespace OpenNL {
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// Class FullVector
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// Model of the SparseLinearAlgebraTraits_d::Vector concept
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template <class T> class FullVector
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{
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// Public types
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public:
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typedef T CoeffType ;
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// for SparseLinearAlgebraTraits_d::Vector concept
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typedef T NT;
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// Create a vector initialized with zeros
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FullVector(unsigned int dim) {
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dimension_ = dim ; coeff_ = new T[dim] ;
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// init with zeros (for SparseLinearAlgebraTraits_d::Vector concept)
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for (unsigned int i=0; i < dimension_; i++)
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coeff_[i] = 0;
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}
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// Copy constructor
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FullVector(const FullVector& toCopy) {
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dimension_ = toCopy.dimension_ ;
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coeff_ = new T[dimension_] ;
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for (unsigned int i=0; i < dimension_; i++)
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coeff_[i] = toCopy.coeff_[i];
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}
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// operator =()
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FullVector& operator =(const FullVector& toCopy) {
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delete[] coeff_ ;
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dimension_ = toCopy.dimension_ ;
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coeff_ = new T[dimension_] ;
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for (unsigned int i=0; i < dimension_; i++)
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coeff_[i] = toCopy.coeff_[i];
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return *this;
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}
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~FullVector() {
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delete[] coeff_ ;
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coeff_ = NULL ;
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}
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// Return the vector's number of coefficients
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unsigned int dimension() const {
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return dimension_ ;
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}
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// Read/write access to 1 vector coefficient.
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//
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// Preconditions:
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// * 0 <= i < dimension()
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const T& operator[](unsigned int i) const {
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CGAL_assertion(i < dimension_) ;
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return coeff_[i] ;
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}
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T& operator[](unsigned int i) {
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CGAL_assertion(i < dimension_) ;
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return coeff_[i] ;
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}
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private:
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unsigned int dimension_ ;
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T* coeff_ ;
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} ;
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template <class T> class BLAS< FullVector<T> > {
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public:
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typedef FullVector<T> VectorType ;
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typedef T CoeffType ;
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/** y <- y + a*x */
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static void axpy(CoeffType a, const VectorType& x, VectorType& y) {
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CGAL_assertion(x.dimension() == y.dimension()) ;
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for(unsigned int i=0; i<x.dimension(); i++) {
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y[i] += a * x[i] ;
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}
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}
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/** x <- a*x */
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static void scal(CoeffType a, VectorType& x) {
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for(unsigned int i=0; i<x.dimension(); i++) {
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x[i] *= a ;
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}
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}
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/** y <- x */
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static void copy(const VectorType& x, VectorType& y) {
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CGAL_assertion(x.dimension() == y.dimension()) ;
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for(unsigned int i=0; i<x.dimension(); i++) {
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y[i] = x[i] ;
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}
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}
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/** returns x^t * y */
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static CoeffType dot(const VectorType& x, const VectorType& y) {
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CoeffType result = 0 ;
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CGAL_assertion(x.dimension() == y.dimension()) ;
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for(unsigned int i=0; i<x.dimension(); i++) {
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result += y[i] * x[i] ;
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}
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return result ;
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}
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} ;
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} // namespace OpenNL
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#endif // __OPENNL_FULL_VECTOR__
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