mirror of https://github.com/CGAL/cgal
114 lines
3.1 KiB
C++
114 lines
3.1 KiB
C++
// Copyright (c) 2005 INRIA (France).
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// All rights reserved.
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//
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// This file is part of CGAL (www.cgal.org).
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// You can redistribute it and/or modify it under the terms of the GNU
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// General Public License as published by the Free Software Foundation,
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// either version 3 of the License, or (at your option) any later version.
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//
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// Licensees holding a valid commercial license may use this file in
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// accordance with the commercial license agreement provided with the software.
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//
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// This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
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// WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
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//
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// $URL$
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// $Id$
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//
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//
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// Author(s) : Laurent Saboret, Pierre Alliez, Bruno Levy
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namespace SparseLinearAlgebraTraits_d {
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/// \ingroup PkgSurfaceParameterizationConcepts
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/// \cgalconcept
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/// SparseLinearAlgebraTraits_d::Vector
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/// is a concept of a vector that can be multiplied by a sparse matrix.
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///
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/// \refines LinearAlgebraTraits_d::Vector
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/// \hasModel CGAL::Taucs_vector<T>
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/// \hasModel OpenNL::FullVector<T> in OpenNL package
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class Vector
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{
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// Public types
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public:
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typedef xxx NT;
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// Public operations
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public:
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/// Create a vector initialized with zeros.
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Vector (int rows);
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/// Copy constructor
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Vector(const Vector& toCopy);
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/// operator =()
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Vector& operator=(const Vector& toCopy);
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/// Return the vector's number of coefficients.
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int dimension () const;
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/// Read/write access to a vector coefficient.
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///
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/// \pre 0 <= row < dimension().
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NT operator[] (int row) const;
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NT& operator[] (int row);
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};
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/// \ingroup PkgSurfaceParameterizationConcepts
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/// \cgalconcept
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/// SparseLinearAlgebraTraits_d::Matrix
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/// is a concept of a sparse matrix class.
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///
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/// \refines LinearAlgebraTraits_d::Matrix
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/// \hasModel Taucs_matrix<T>
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/// \hasModel Taucs_symmetric_matrix<T>
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/// \hasModel OpenNL::SparseMatrix<T> in OpenNL package
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class Matrix
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{
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// Public types
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public:
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typedef xxx NT;
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// Public operations
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public:
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/// Create a square matrix initialized with zeros.
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Matrix(int dimension);
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/// Create a rectangular matrix initialized with zeros.
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Matrix (int rows, int columns);
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/// Return the matrix number of rows.
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int row_dimension () const;
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/// Return the matrix number of columns.
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int column_dimension () const;
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/// Read access to a matrix coefficient.
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///
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/// \pre 0 <= row < row_dimension().
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/// \pre 0 <= column < column_dimension().
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NT get_coef (int row, int column) const;
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/// Write access to a matrix coefficient: a_ij <- a_ij + val.
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///
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/// \pre 0 <= row < row_dimension().
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/// \pre 0 <= column < column_dimension().
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void add_coef(int row, int column, NT value);
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/// Write access to a matrix coefficient: a_ij <- val.
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///
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/// Optimization:
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/// - Caller can optimize this call by setting 'new_coef' to true
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/// if the coefficient does not already exist in the matrix.
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///
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/// \pre 0 <= i < row_dimension().
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/// \pre 0 <= j < column_dimension().
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void set_coef(int row, int column, NT value, bool new_coef = false);
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};
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}
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