scalar_subvector_adapter.hh

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/*
 * Copyright (c) 2013-2015:  G-CSC, Goethe University Frankfurt
 * Author: Arne Nägel
 * 
 * This file is part of UG4.
 * 
 * UG4 is free software: you can redistribute it and/or modify it under the
 * terms of the GNU Lesser General Public License version 3 (as published by the
 * Free Software Foundation) with the following additional attribution
 * requirements (according to LGPL/GPL v3 §7):
 * 
 * (1) The following notice must be displayed in the Appropriate Legal Notices
 * of covered and combined works: "Based on UG4 (www.ug4.org/license)".
 * 
 * (2) The following notice must be displayed at a prominent place in the
 * terminal output of covered works: "Based on UG4 (www.ug4.org/license)".
 * 
 * (3) The following bibliography is recommended for citation and must be
 * preserved in all covered files:
 * "Reiter, S., Vogel, A., Heppner, I., Rupp, M., and Wittum, G. A massively
 *   parallel geometric multigrid solver on hierarchically distributed grids.
 *   Computing and visualization in science 16, 4 (2013), 151-164"
 * "Vogel, A., Reiter, S., Rupp, M., Nägel, A., and Wittum, G. UG4 -- a novel
 *   flexible software system for simulating pde based models on high performance
 *   computers. Computing and visualization in science 16, 4 (2013), 165-179"
 * 
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
 * GNU Lesser General Public License for more details.
 */
 
#ifndef SCALAR_SUBVECTOR_ADAPTER_HH_
#define SCALAR_SUBVECTOR_ADAPTER_HH_
 
#include <cstdlib>
 
#include "lib_algebra/lib_algebra.h"
#include "lib_algebra/lib_algebra_impl.h"
#include "lib_algebra/cpu_algebra_types.h"
 
#ifdef UG_PARALLEL
#include "lib_algebra/parallelization/parallel_vector.h"
#endif
 
#include "lib_algebra/small_algebra/blocks.h"
namespace ug{
 
// provides an interface for matrix of algebra type B for matrices originally of algebra type A
// allows to access a CPUBlockAlgebra (AT) as a scalar CPUAlgebra (ST)
 
template<class InVT, class ST>
class ConstScalarSubVectorAdapter{
public:
  typedef InVT encapsulated_vector_type;
  typedef typename ST::vector_type::value_type value_type;
  static const int blockSize = block_traits<typename InVT::value_type>::static_size;
 
  ConstScalarSubVectorAdapter(const encapsulated_vector_type& vec, size_t alpha) : m_src(vec), m_alpha(alpha) {};
 
  inline const value_type &operator [] (size_t i) const
  { return BlockRef(m_src[i], m_alpha); }
  inline const value_type &operator [] (size_t i) const {…}
 
  void print(const char * const text = NULL) const
  { m_src.print(text);}
  void print(const char * const text = NULL) const {…}
 
  size_t size() const
  { return (m_src.size());}
  size_t size() const {…}
 
private:
  const encapsulated_vector_type &m_src;
  const size_t m_alpha;
};
class ConstScalarSubVectorAdapter {…};
 
template<class InVT, class ST=CPUAlgebra::vector_type>
class ScalarSubVectorAdapter{
 
public:
  typedef InVT encapsulated_vector_type;
  typedef typename ST::vector_type::value_type value_type;
  static const int blockSize = block_traits<typename InVT::value_type>::static_size;
  //typedef typename ST::vector_type::const_row_iterator const_row_iterator
 
  ScalarSubVectorAdapter(encapsulated_vector_type& vec, size_t alpha) : m_src(vec), m_alpha(alpha) {};
 
  inline value_type &operator [] (size_t i)
  { return BlockRef(m_src[i], m_alpha); }
  inline value_type &operator [] (size_t i) {…}
 
  inline const value_type &operator [] (size_t i) const
  { return BlockRef(m_src[i], m_alpha); }
  inline const value_type &operator [] (size_t i) const {…}
 
  void resize(size_t newSize, bool bCopyValues=true)
  {
    m_src.resize_exactly(newSize, bCopyValues);
  }
  void resize(size_t newSize, bool bCopyValues=true) {…}
  void reserve(size_t newCapacity, bool bCopyValues=true)
  {
    m_src.reserve_exactly(newCapacity, bCopyValues);
  }
  void reserve(size_t newCapacity, bool bCopyValues=true) {…}
  void print(const char * const text = NULL) const
  {
    m_src.print(text);
  }
  void print(const char * const text = NULL) const {…}
 
  void set_random(double from, double to)
  {
    for(size_t i=0; i<size(); i++)
      BlockRef(m_src[i], m_alpha) = urand(from, to);
  }
  void set_random(double from, double to) {…}
 
  size_t size() const {return (m_src.size());}
private:
  encapsulated_vector_type &m_src;
  const size_t m_alpha;
};
class ScalarSubVectorAdapter {…};
 
 
// partielle Spezialisierung fuer CPUAlgebra
template<>
inline ScalarSubVectorAdapter<CPUAlgebra::vector_type, CPUAlgebra>::value_type&
ScalarSubVectorAdapter<CPUAlgebra::vector_type, CPUAlgebra>::operator [] (size_t i)
{ return m_src[i]; }
ScalarSubVectorAdapter<CPUAlgebra::vector_type, CPUAlgebra>::operator [] (size_t i) {…}
 
#ifdef UG_PARALLEL
template<>
inline ScalarSubVectorAdapter<ParallelVector<CPUAlgebra::vector_type>, CPUAlgebra>::value_type&
ScalarSubVectorAdapter<ParallelVector<CPUAlgebra::vector_type> , CPUAlgebra>::operator [] (size_t i)
{ return m_src[i]; }
ScalarSubVectorAdapter<ParallelVector<CPUAlgebra::vector_type> , CPUAlgebra>::operator [] (size_t i) {…}
#endif
 
} // namespace ug
 
#endif /* SPARSEMATRIXPROXY_HH_ */