spacetime_navier_stokes_block_preconditioner.h

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// Header file for SpaceTimeNavierStokes elements
#ifndef OOMPH_SPACETIME_NAVIER_STOKES_BLOCK_PRECONDITIONERS_HEADER
#define OOMPH_SPACETIME_NAVIER_STOKES_BLOCK_PRECONDITIONERS_HEADER
 
// Config header generated by autoconfig
#ifdef HAVE_CONFIG_H
#include <oomph-lib-config.h>
#endif
 
// Oomph-lib headers
#include "generic.h"
 
// Space-time block preconditioning machinery
#include "../../SpaceTimeBlockPreconditioner/spacetime_block_preconditioner.cc"
 
 
namespace oomph
{
  //=============================================================================
  //=============================================================================
  class SpaceTimeNavierStokesSubsidiaryPreconditioner
    : public BlockPreconditioner<CRDoubleMatrix>
  {
  public:
    SpaceTimeNavierStokesSubsidiaryPreconditioner()
      : BlockPreconditioner<CRDoubleMatrix>()
    {
      // By default, don't store the memory statistics of this preconditioner
      Compute_memory_statistics = false;
 
      // Initialise the value of Memory_usage_in_bytes
      Memory_usage_in_bytes = 0.0;
 
      // Flag to indicate that the preconditioner has been setup
      // previously -- if setup() is called again, data can
      // be wiped.
      Preconditioner_has_been_setup = false;
 
      // By default we use SuperLU for both p and f blocks
      Using_default_p_preconditioner = true;
      Using_default_f_preconditioner = true;
 
      // Set default preconditioners (inexact solvers) -- they are
      // members of this class!
      P_preconditioner_pt = 0;
      F_preconditioner_pt = 0;
 
      // Null the momentum block matrix-vector product helper
      F_mat_vec_pt = 0;
 
      // Null the gradient block matrix-vector product helper
      G_mat_vec_pt = 0;
    }
 
    virtual ~SpaceTimeNavierStokesSubsidiaryPreconditioner()
    {
      // Call the auxiliary clean up function
      this->clean_up_memory();
    } // End of ~SpaceTimeNavierStokesSubsidiaryPreconditioner
 
    virtual void clean_up_memory()
    {
      // If we've actually set the preconditioner up
      if (Preconditioner_has_been_setup)
      {
        // Delete matvecs
        delete F_mat_vec_pt;
        F_mat_vec_pt = 0;
 
        delete G_mat_vec_pt;
        G_mat_vec_pt = 0;
 
        // Delete stuff from velocity solve
        if (Using_default_f_preconditioner)
        {
          delete F_preconditioner_pt;
          F_preconditioner_pt = 0;
        }
 
        // Delete stuff from Schur complement approx
        if (Using_default_p_preconditioner)
        {
          delete P_preconditioner_pt;
          P_preconditioner_pt = 0;
        }
      } // if (Preconditioner_has_been_setup)
    } // End of clean_up_memory
 
    SpaceTimeNavierStokesSubsidiaryPreconditioner(
      const SpaceTimeNavierStokesSubsidiaryPreconditioner&) = delete;
 
    void operator=(const SpaceTimeNavierStokesSubsidiaryPreconditioner&) =
      delete;
 
    using Preconditioner::setup;
 
    void setup();
 
    void preconditioner_solve(const DoubleVector& r, DoubleVector& z);
 
 
    void enable_doc_memory_usage()
    {
      Compute_memory_statistics = true;
    } // End of enable_doc_memory_usage
 
 
    void disable_doc_memory_usage()
    {
      Compute_memory_statistics = false;
    } // End of disable_doc_memory_usage
 
 
    double get_memory_usage_in_bytes()
    {
      // Has the preconditioner even been set up yet?
      if (Preconditioner_has_been_setup)
      {
        // Were we meant to compute the statistics?
        if (Compute_memory_statistics)
        {
          // Return the appropriate variable value
          return Memory_usage_in_bytes;
        }
        else
        {
          // Allocate storage for an output stream
          std::ostringstream warning_message_stream;
 
          // Create a warning message
          warning_message_stream
            << "The memory statistics have not been calculated "
            << "so I'm returning\nthe value zero." << std::endl;
 
          // Give the user a warning
          OomphLibWarning(warning_message_stream.str(),
                          OOMPH_CURRENT_FUNCTION,
                          OOMPH_EXCEPTION_LOCATION);
 
          // Return the value zero
          return 0.0;
        }
      }
      // If the preconditioner hasn't been set up yet
      else
      {
        // Allocate storage for an output stream
        std::ostringstream warning_message_stream;
 
        // Create a warning message
        warning_message_stream
          << "The preconditioner hasn't even been set up yet "
          << "so I'm returning\nthe value zero." << std::endl;
 
        // Give the user a warning
        OomphLibWarning(warning_message_stream.str(),
                        OOMPH_CURRENT_FUNCTION,
                        OOMPH_EXCEPTION_LOCATION);
 
        // Return the value zero
        return 0.0;
      } // if (Preconditioner_has_been_setup)
    } // End of get_memory_usage_in_bytes
 
  private:
    Preconditioner* F_preconditioner_pt;
 
    Preconditioner* P_preconditioner_pt;
 
    bool Using_default_f_preconditioner;
 
    bool Using_default_p_preconditioner;
 
    bool Preconditioner_has_been_setup;
 
    bool Compute_memory_statistics;
 
    double Memory_usage_in_bytes;
 
    MatrixVectorProduct* F_mat_vec_pt;
 
    MatrixVectorProduct* G_mat_vec_pt;
  };
 
 
  //=============================================================================
  //=============================================================================
  class GMRESBlockPreconditioner
    : public IterativeLinearSolver,
      public virtual BlockPreconditioner<CRDoubleMatrix>
  {
  public:
    GMRESBlockPreconditioner()
      : BlockPreconditioner<CRDoubleMatrix>(),
        Matrix_pt(0),
        Navier_stokes_subsidiary_preconditioner_pt(0),
        Iterations(0),
        Preconditioner_has_been_setup(false),
        Preconditioner_LHS(false)
    {
      // By default, don't store the memory statistics of this preconditioner
      Compute_memory_statistics = false;
 
      // Initialise the value of Memory_usage_in_bytes
      Memory_usage_in_bytes = 0.0;
    } // End of GMRESBlockPreconditioner
 
    virtual ~GMRESBlockPreconditioner()
    {
      // Call the auxiliary clean up function
      this->clean_up_memory();
    } // End of ~GMRESBlockPreconditioner
 
    virtual void clean_up_memory()
    {
      // If the block preconditioner has been set up previously
      if (Preconditioner_has_been_setup)
      {
        // Delete the subsidiary preconditioner
        delete Navier_stokes_subsidiary_preconditioner_pt;
 
        // Make it a null pointer
        Navier_stokes_subsidiary_preconditioner_pt = 0;
 
        // Delete the matrix!
        delete Matrix_pt;
 
        // Make it a null pointer
        Matrix_pt = 0;
      }
    } // End of clean_up_memory
 
    GMRESBlockPreconditioner(const GMRESBlockPreconditioner&) = delete;
 
    void operator=(const GMRESBlockPreconditioner&) = delete;
 
    using Preconditioner::setup;
 
    void setup();
 
    void preconditioner_solve(const DoubleVector& r, DoubleVector& z);
 
    void solve(Problem* const& problem_pt, DoubleVector& result)
    {
      // Broken
      throw OomphLibError("Can't use this interface!",
                          OOMPH_CURRENT_FUNCTION,
                          OOMPH_EXCEPTION_LOCATION);
    } // End of solve
 
    unsigned iterations() const
    {
      // Return the number of iterations
      return Iterations;
    } // End of iterations
 
    void set_preconditioner_LHS()
    {
      Preconditioner_LHS = true;
    }
 
    void set_preconditioner_RHS()
    {
      Preconditioner_LHS = false;
    }
 
 
    void enable_doc_memory_statistics()
    {
      Compute_memory_statistics = true;
    } // End of enable_doc_memory_statistics
 
 
    void disable_doc_memory_statistics()
    {
      Compute_memory_statistics = false;
    } // End of disable_doc_memory_statistics
 
 
    double get_memory_usage_in_bytes()
    {
      // Has the preconditioner even been set up yet?
      if (Preconditioner_has_been_setup)
      {
        // Were we meant to compute the statistics?
        if (Compute_memory_statistics)
        {
          // Return the appropriate variable value
          return Memory_usage_in_bytes;
        }
        else
        {
          // Allocate storage for an output stream
          std::ostringstream warning_message_stream;
 
          // Create a warning message
          warning_message_stream
            << "The memory statistics have not been calculated "
            << "so I'm returning\nthe value zero." << std::endl;
 
          // Give the user a warning
          OomphLibWarning(warning_message_stream.str(),
                          OOMPH_CURRENT_FUNCTION,
                          OOMPH_EXCEPTION_LOCATION);
 
          // Return the value zero
          return 0.0;
        }
      }
      // If the preconditioner hasn't been set up yet
      else
      {
        // Allocate storage for an output stream
        std::ostringstream warning_message_stream;
 
        // Create a warning message
        warning_message_stream
          << "The preconditioner hasn't even been set up yet "
          << "so I'm returning\nthe value zero." << std::endl;
 
        // Give the user a warning
        OomphLibWarning(warning_message_stream.str(),
                        OOMPH_CURRENT_FUNCTION,
                        OOMPH_EXCEPTION_LOCATION);
 
        // Return the value zero
        return 0.0;
      } // if (Preconditioner_has_been_setup)
    } // End of get_memory_usage_in_bytes
 
 
    SpaceTimeNavierStokesSubsidiaryPreconditioner* navier_stokes_subsidiary_preconditioner_pt()
      const
    {
      // Return a pointer to the appropriate member data
      return Navier_stokes_subsidiary_preconditioner_pt;
    } // End of navier_stokes_subsidiary_preconditioner_pt
 
  private:
    void update(const unsigned& k,
                const Vector<Vector<double>>& H,
                const Vector<double>& s,
                const Vector<DoubleVector>& v,
                const DoubleVector& block_x_with_size_of_full_x,
                DoubleVector& x)
    {
      // Make a local copy of s
      Vector<double> y(s);
 
      // Backsolve:
      for (int i = int(k); i >= 0; i--)
      {
        // Divide the i-th entry of y by the i-th diagonal entry of H
        y[i] /= H[i][i];
 
        // Loop over the previous values of y and update
        for (int j = i - 1; j >= 0; j--)
        {
          // Update the j-th entry of y
          y[j] -= H[i][j] * y[i];
        }
      } // for (int i=int(k);i>=0;i--)
 
      // Store the number of rows in the result vector
      unsigned n_x = x.nrow();
 
      // Build a temporary vector with entries initialised to 0.0
      DoubleVector temp(x.distribution_pt(), 0.0);
 
      // Build a temporary vector with entries initialised to 0.0
      DoubleVector z(x.distribution_pt(), 0.0);
 
      // Get access to the underlying values
      double* temp_pt = temp.values_pt();
 
      // Calculate x=Vy
      for (unsigned j = 0; j <= k; j++)
      {
        // Get access to j-th column of v
        const double* vj_pt = v[j].values_pt();
 
        // Loop over the entries of the vector, temp
        for (unsigned i = 0; i < n_x; i++)
        {
          temp_pt[i] += vj_pt[i] * y[j];
        }
      } // for (unsigned j=0;j<=k;j++)
 
      // If we're using LHS preconditioning
      if (Preconditioner_LHS)
      {
        // Since we're using LHS preconditioning the preconditioner is applied
        // to the matrix and RHS vector so we simply update the value of x
        x += temp;
      }
      // If we're using RHS preconditioning
      else
      {
        // This is pretty inefficient but there is no other way to do this with
        // block sub preconditioners as far as I can tell because they demand
        // to have the full r and z vectors...
        DoubleVector block_z_with_size_of_full_z(
          block_x_with_size_of_full_x.distribution_pt());
        DoubleVector temp_with_size_of_full_rhs(
          block_x_with_size_of_full_x.distribution_pt());
 
        // Reorder the entries of temp and put them into the global-sized vector
        this->return_block_vector(0, temp, temp_with_size_of_full_rhs);
 
        // Solve on the global-sized vectors
        Navier_stokes_subsidiary_preconditioner_pt->preconditioner_solve(
          temp_with_size_of_full_rhs, block_z_with_size_of_full_z);
 
        // Now reorder the entries and put them into z
        this->get_block_vector(0, block_z_with_size_of_full_z, z);
 
        // Since we're using RHS preconditioning the preconditioner is applied
        // to the solution vector
        // preconditioner_pt()->preconditioner_solve(temp,z);
 
        // Use the update: x_m=x_0+inv(M)Vy [see Saad Y,"Iterative methods for
        // sparse linear systems", p.284]
        x += z;
      }
    } // End of update
 
    void generate_plane_rotation(double& dx, double& dy, double& cs, double& sn)
    {
      // If dy=0 then we do not need to apply a rotation
      if (dy == 0.0)
      {
        // Using theta=0 gives cos(theta)=1
        cs = 1.0;
 
        // Using theta=0 gives sin(theta)=0
        sn = 0.0;
      }
      // If dx or dy is large using the normal form of calculting cs and sn
      // is naive since this may overflow or underflow so instead we calculate
      // r=sqrt(pow(dx,2)+pow(dy,2)) by using r=|dy|sqrt(1+pow(dx/dy,2)) if
      // |dy|>|dx| [see <A
      // HREF=https://en.wikipedia.org/wiki/Hypot">Hypot</A>.].
      else if (fabs(dy) > fabs(dx))
      {
        // Since |dy|>|dx| calculate the ratio dx/dy
        double temp = dx / dy;
 
        // Calculate sin(theta)=dy/sqrt(pow(dx,2)+pow(dy,2))
        sn = 1.0 / sqrt(1.0 + temp * temp);
 
        // Calculate cos(theta)=dx/sqrt(pow(dx,2)+pow(dy,2))=(dx/dy)*sin(theta)
        cs = temp * sn;
      }
      // Otherwise, we have |dx|>=|dy| so to, again, avoid overflow or underflow
      // calculate the values of cs and sn using the method above
      else
      {
        // Since |dx|>=|dy| calculate the ratio dy/dx
        double temp = dy / dx;
 
        // Calculate cos(theta)=dx/sqrt(pow(dx,2)+pow(dy,2))
        cs = 1.0 / sqrt(1.0 + temp * temp);
 
        // Calculate sin(theta)=dy/sqrt(pow(dx,2)+pow(dy,2))=(dy/dx)*cos(theta)
        sn = temp * cs;
      }
    } // End of generate_plane_rotation
 
    void apply_plane_rotation(double& dx, double& dy, double& cs, double& sn)
    {
      // Calculate the value of dx but don't update it yet
      double temp = cs * dx + sn * dy;
 
      // Set the value of dy
      dy = -sn * dx + cs * dy;
 
      // Set the value of dx using the correct values of dx and dy
      dx = temp;
    } // End of apply_plane_rotation
 
    CRDoubleMatrix* Matrix_pt;
 
    SpaceTimeNavierStokesSubsidiaryPreconditioner*
      Navier_stokes_subsidiary_preconditioner_pt;
 
    unsigned Iterations;
 
    bool Compute_memory_statistics;
 
    double Memory_usage_in_bytes;
 
    bool Preconditioner_has_been_setup;
 
    bool Preconditioner_LHS;
  };
} // End of namespace oomph
#endif