solver_cg.h

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// ---------------------------------------------------------------------
//
// Copyright (C) 1998 - 2020 by the deal.II authors
//
// This file is part of the deal.II library.
//
// The deal.II library is free software; you can use it, redistribute
// it, and/or modify it under the terms of the GNU Lesser General
// Public License as published by the Free Software Foundation; either
// version 2.1 of the License, or (at your option) any later version.
// The full text of the license can be found in the file LICENSE.md at
// the top level directory of deal.II.
//
// ---------------------------------------------------------------------
 
#ifndef dealii_solver_cg_h
#define dealii_solver_cg_h
 
 
#include <deal.II/base/config.h>
 
#include <deal.II/base/exceptions.h>
#include <deal.II/base/logstream.h>
#include <deal.II/base/subscriptor.h>
 
#include <deal.II/lac/solver.h>
#include <deal.II/lac/solver_control.h>
#include <deal.II/lac/tridiagonal_matrix.h>
 
#include <cmath>
 
DEAL_II_NAMESPACE_OPEN
 
// forward declaration
#ifndef DOXYGEN
class PreconditionIdentity;
#endif
 
 
 
template <typename VectorType = Vector<double>>
class SolverCG : public SolverBase<VectorType>
{
public:
  using size_type = types::global_dof_index;
 
  struct AdditionalData
  {};
 
  SolverCG(SolverControl &           cn,
           VectorMemory<VectorType> &mem,
           const AdditionalData &    data = AdditionalData());
 
  SolverCG(SolverControl &cn, const AdditionalData &data = AdditionalData());
 
  virtual ~SolverCG() override = default;
 
  template <typename MatrixType, typename PreconditionerType>
  void
  solve(const MatrixType &        A,
        VectorType &              x,
        const VectorType &        b,
        const PreconditionerType &preconditioner);
 
  boost::signals2::connection
  connect_coefficients_slot(
    const std::function<void(typename VectorType::value_type,
                             typename VectorType::value_type)> &slot);
 
  boost::signals2::connection
  connect_condition_number_slot(const std::function<void(double)> &slot,
                                const bool every_iteration = false);
 
  boost::signals2::connection
  connect_eigenvalues_slot(
    const std::function<void(const std::vector<double> &)> &slot,
    const bool every_iteration = false);
 
protected:
  virtual void
  print_vectors(const unsigned int step,
                const VectorType & x,
                const VectorType & r,
                const VectorType & d) const;
 
  static void
  compute_eigs_and_cond(
    const std::vector<typename VectorType::value_type> &diagonal,
    const std::vector<typename VectorType::value_type> &offdiagonal,
    const boost::signals2::signal<void(const std::vector<double> &)>
      &                                          eigenvalues_signal,
    const boost::signals2::signal<void(double)> &cond_signal);
 
  AdditionalData additional_data;
 
  boost::signals2::signal<void(typename VectorType::value_type,
                               typename VectorType::value_type)>
    coefficients_signal;
 
  boost::signals2::signal<void(double)> condition_number_signal;
 
  boost::signals2::signal<void(double)> all_condition_numbers_signal;
 
  boost::signals2::signal<void(const std::vector<double> &)> eigenvalues_signal;
 
  boost::signals2::signal<void(const std::vector<double> &)>
    all_eigenvalues_signal;
};
 
/*------------------------- Implementation ----------------------------*/
 
#ifndef DOXYGEN
 
template <typename VectorType>
SolverCG<VectorType>::SolverCG(SolverControl &           cn,
                               VectorMemory<VectorType> &mem,
                               const AdditionalData &    data)
  : SolverBase<VectorType>(cn, mem)
  , additional_data(data)
{}
 
 
 
template <typename VectorType>
SolverCG<VectorType>::SolverCG(SolverControl &cn, const AdditionalData &data)
  : SolverBase<VectorType>(cn)
  , additional_data(data)
{}
 
 
 
template <typename VectorType>
void
SolverCG<VectorType>::print_vectors(const unsigned int,
                                    const VectorType &,
                                    const VectorType &,
                                    const VectorType &) const
{}
 
 
 
template <typename VectorType>
inline void
SolverCG<VectorType>::compute_eigs_and_cond(
  const std::vector<typename VectorType::value_type> &diagonal,
  const std::vector<typename VectorType::value_type> &offdiagonal,
  const boost::signals2::signal<void(const std::vector<double> &)>
    &                                          eigenvalues_signal,
  const boost::signals2::signal<void(double)> &cond_signal)
{
  // Avoid computing eigenvalues unless they are needed.
  if (!cond_signal.empty() || !eigenvalues_signal.empty())
    {
      TridiagonalMatrix<typename VectorType::value_type> T(diagonal.size(),
                                                           true);
      for (size_type i = 0; i < diagonal.size(); ++i)
        {
          T(i, i) = diagonal[i];
          if (i < diagonal.size() - 1)
            T(i, i + 1) = offdiagonal[i];
        }
      T.compute_eigenvalues();
      // Need two eigenvalues to estimate the condition number.
      if (diagonal.size() > 1)
        {
          auto condition_number = T.eigenvalue(T.n() - 1) / T.eigenvalue(0);
          // Condition number is real valued and nonnegative; simply take
          // the absolute value:
          cond_signal(std::abs(condition_number));
        }
      // Avoid copying the eigenvalues of T to a vector unless a signal is
      // connected.
      if (!eigenvalues_signal.empty())
        {
          std::vector<double> eigenvalues(T.n());
          for (unsigned int j = 0; j < T.n(); ++j)
            {
              // for a hermitian matrix, all eigenvalues are real-valued
              // and non-negative, simply return the absolute value:
              eigenvalues[j] = std::abs(T.eigenvalue(j));
            }
          eigenvalues_signal(eigenvalues);
        }
    }
}
 
 
 
template <typename VectorType>
template <typename MatrixType, typename PreconditionerType>
void
SolverCG<VectorType>::solve(const MatrixType &        A,
                            VectorType &              x,
                            const VectorType &        b,
                            const PreconditionerType &preconditioner)
{
  using number = typename VectorType::value_type;
 
  SolverControl::State conv = SolverControl::iterate;
 
  LogStream::Prefix prefix("cg");
 
  // Memory allocation
  typename VectorMemory<VectorType>::Pointer g_pointer(this->memory);
  typename VectorMemory<VectorType>::Pointer d_pointer(this->memory);
  typename VectorMemory<VectorType>::Pointer h_pointer(this->memory);
 
  // define some aliases for simpler access
  VectorType &g = *g_pointer;
  VectorType &d = *d_pointer;
  VectorType &h = *h_pointer;
 
  // Should we build the matrix for eigenvalue computations?
  const bool do_eigenvalues =
    !condition_number_signal.empty() || !all_condition_numbers_signal.empty() ||
    !eigenvalues_signal.empty() || !all_eigenvalues_signal.empty();
 
  // vectors used for eigenvalue computations
  std::vector<typename VectorType::value_type> diagonal;
  std::vector<typename VectorType::value_type> offdiagonal;
 
  typename VectorType::value_type eigen_beta_alpha = 0;
 
  // resize the vectors, but do not set the values since they'd be overwritten
  // soon anyway.
  g.reinit(x, true);
  d.reinit(x, true);
  h.reinit(x, true);
 
  int    it        = 0;
  number gh        = number();
  number beta      = number();
  number alpha     = number();
  number old_alpha = number();
 
  // compute residual. if vector is zero, then short-circuit the full
  // computation
  if (!x.all_zero())
    {
      A.vmult(g, x);
      g.add(-1., b);
    }
  else
    g.equ(-1., b);
 
  double res = g.l2_norm();
  conv       = this->iteration_status(0, res, x);
  if (conv != SolverControl::iterate)
    return;
 
  while (conv == SolverControl::iterate)
    {
      it++;
      old_alpha = alpha;
 
      if (it > 1)
        {
          if (std::is_same<PreconditionerType, PreconditionIdentity>::value ==
              false)
            {
              preconditioner.vmult(h, g);
              beta = gh;
              Assert(std::abs(beta) != 0., ExcDivideByZero());
              gh   = g * h;
              beta = gh / beta;
              d.sadd(beta, -1., h);
            }
          else
            {
              beta = gh;
              gh   = res * res;
              beta = gh / beta;
              d.sadd(beta, -1., g);
            }
        }
      else
        {
          if (std::is_same<PreconditionerType, PreconditionIdentity>::value ==
              false)
            {
              preconditioner.vmult(h, g);
              d.equ(-1., h);
              gh = g * h;
            }
          else
            {
              d.equ(-1., g);
              gh = res * res;
            }
        }
 
      A.vmult(h, d);
 
      alpha = d * h;
      Assert(std::abs(alpha) != 0., ExcDivideByZero());
      alpha = gh / alpha;
 
      x.add(alpha, d);
      res = std::sqrt(std::abs(g.add_and_dot(alpha, h, g)));
 
      print_vectors(it, x, g, d);
 
      if (it > 1)
        {
          this->coefficients_signal(old_alpha, beta);
          // set up the vectors containing the diagonal and the off diagonal of
          // the projected matrix.
          if (do_eigenvalues)
            {
              diagonal.push_back(number(1.) / old_alpha + eigen_beta_alpha);
              eigen_beta_alpha = beta / old_alpha;
              offdiagonal.push_back(std::sqrt(beta) / old_alpha);
            }
          compute_eigs_and_cond(diagonal,
                                offdiagonal,
                                all_eigenvalues_signal,
                                all_condition_numbers_signal);
        }
 
      conv = this->iteration_status(it, res, x);
    }
 
  compute_eigs_and_cond(diagonal,
                        offdiagonal,
                        eigenvalues_signal,
                        condition_number_signal);
 
  // in case of failure: throw exception
  if (conv != SolverControl::success)
    AssertThrow(false, SolverControl::NoConvergence(it, res));
  // otherwise exit as normal
}
 
 
 
template <typename VectorType>
boost::signals2::connection
SolverCG<VectorType>::connect_coefficients_slot(
  const std::function<void(typename VectorType::value_type,
                           typename VectorType::value_type)> &slot)
{
  return coefficients_signal.connect(slot);
}
 
 
 
template <typename VectorType>
boost::signals2::connection
SolverCG<VectorType>::connect_condition_number_slot(
  const std::function<void(double)> &slot,
  const bool                         every_iteration)
{
  if (every_iteration)
    {
      return all_condition_numbers_signal.connect(slot);
    }
  else
    {
      return condition_number_signal.connect(slot);
    }
}
 
 
 
template <typename VectorType>
boost::signals2::connection
SolverCG<VectorType>::connect_eigenvalues_slot(
  const std::function<void(const std::vector<double> &)> &slot,
  const bool                                              every_iteration)
{
  if (every_iteration)
    {
      return all_eigenvalues_signal.connect(slot);
    }
  else
    {
      return eigenvalues_signal.connect(slot);
    }
}
 
 
 
#endif // DOXYGEN
 
DEAL_II_NAMESPACE_CLOSE
 
#endif