ipopt-src 0.2.3+3.14.16

Redistribution of Coin-OR Ipopt as a crate
// Copyright (C) 2004, 2008 International Business Machines and others.
// All Rights Reserved.
// This code is published under the Eclipse Public License.
//
// Authors:  Carl Laird, Andreas Waechter     IBM    2004-08-13

#include "IpScaledMatrix.hpp"

namespace Ipopt
{

ScaledMatrix::ScaledMatrix(
   const ScaledMatrixSpace* owner_space
)
   : Matrix(owner_space),
     owner_space_(owner_space)
{ }

ScaledMatrix::~ScaledMatrix()
{ }

void ScaledMatrix::MultVectorImpl(
   Number        alpha,
   const Vector& x,
   Number        beta,
   Vector&       y
) const
{
   DBG_ASSERT(IsValid(matrix_));

   // Take care of the y part of the addition
   if( beta != 0.0 )
   {
      y.Scal(beta);
   }
   else
   {
      y.Set(0.0);  // In case y hasn't been initialized yet
   }

   // need some temporary vectors
   SmartPtr<Vector> tmp_x = x.MakeNewCopy();
   SmartPtr<Vector> tmp_y = y.MakeNew();

   if( IsValid(owner_space_->ColumnScaling()) )
   {
      tmp_x->ElementWiseMultiply(*owner_space_->ColumnScaling());
   }

   matrix_->MultVector(1.0, *tmp_x, 0.0, *tmp_y);

   if( IsValid(owner_space_->RowScaling()) )
   {
      tmp_y->ElementWiseMultiply(*owner_space_->RowScaling());
   }

   y.Axpy(alpha, *tmp_y);
}

void ScaledMatrix::TransMultVectorImpl(
   Number        alpha,
   const Vector& x,
   Number        beta,
   Vector&       y
) const
{
   DBG_ASSERT(IsValid(matrix_));

   // Take care of the y part of the addition
   if( beta != 0.0 )
   {
      y.Scal(beta);
   }
   else
   {
      y.Set(0.0);  // In case y hasn't been initialized yet
   }

   // need some temporary vectors
   SmartPtr<Vector> tmp_x = x.MakeNewCopy();
   SmartPtr<Vector> tmp_y = y.MakeNew();

   if( IsValid(owner_space_->RowScaling()) )
   {
      tmp_x->ElementWiseMultiply(*owner_space_->RowScaling());
   }

   matrix_->TransMultVector(1.0, *tmp_x, 0.0, *tmp_y);

   if( IsValid(owner_space_->ColumnScaling()) )
   {
      tmp_y->ElementWiseMultiply(*owner_space_->ColumnScaling());
   }

   y.Axpy(alpha, *tmp_y);
}

bool ScaledMatrix::HasValidNumbersImpl() const
{
   DBG_ASSERT(IsValid(matrix_));
   return matrix_->HasValidNumbers();
}

void ScaledMatrix::ComputeRowAMaxImpl(
   Vector& /*rows_norms*/,
   bool    /*init*/
) const
{
   THROW_EXCEPTION(UNIMPLEMENTED_LINALG_METHOD_CALLED, "ScaledMatrix::ComputeRowAMaxImpl not implemented");
}

void ScaledMatrix::ComputeColAMaxImpl(
   Vector& /*cols_norms*/,
   bool    /*init*/
) const
{
   THROW_EXCEPTION(UNIMPLEMENTED_LINALG_METHOD_CALLED, "ScaledMatrix::ComputeColAMaxImpl not implemented");
}

void ScaledMatrix::PrintImpl(
   const Journalist&  jnlst,
   EJournalLevel      level,
   EJournalCategory   category,
   const std::string& name,
   Index              indent,
   const std::string& prefix
) const
{
   jnlst.Printf(level, category,
                "\n");
   jnlst.PrintfIndented(level, category, indent,
                        "%sScaledMatrix \"%s\" of dimension %" IPOPT_INDEX_FORMAT " x %" IPOPT_INDEX_FORMAT ":\n", prefix.c_str(), name.c_str(), NRows(), NCols());
   if( IsValid(owner_space_->RowScaling()) )
   {
      owner_space_->RowScaling()->Print(&jnlst, level, category, name + "_row_scaling", indent + 1, prefix);
   }
   else
   {
      jnlst.PrintfIndented(level, category, indent + 1,
                           "RowScaling is NULL\n");
   }
   if( IsValid(matrix_) )
   {
      matrix_->Print(&jnlst, level, category, name + "_unscaled_matrix", indent + 1, prefix);
   }
   else
   {
      jnlst.PrintfIndented(level, category, indent + 1,
                           "%sunscaled matrix is NULL\n", prefix.c_str());
   }
   if( IsValid(owner_space_->ColumnScaling()) )
   {
      owner_space_->ColumnScaling()->Print(&jnlst, level, category, name + "_column_scaling", indent + 1, prefix);
   }
   else
   {
      jnlst.PrintfIndented(level, category, indent + 1,
                           "%sColumnScaling is NULL\n", prefix.c_str());
   }
}

void ScaledMatrix::AddMSinvZImpl(
   Number        alpha,
   const Vector& S,
   const Vector& Z,
   Vector&       X
) const
{
   DBG_ASSERT(false && "Got the ScaledMatrix::AddMSinvZImpl.  Should implement specialized method!");

   SmartPtr<Vector> tmp = S.MakeNew();
   tmp->AddVectorQuotient(1., Z, S, 0.);
   MultVector(alpha, *tmp, 1., X);
}

void ScaledMatrix::SinvBlrmZMTdBrImpl(
   Number        alpha,
   const Vector& S,
   const Vector& R,
   const Vector& Z,
   const Vector& D,
   Vector&       X
) const
{
   DBG_ASSERT(false && "Got the ScaledMatrix::SinvBlrmZMTdBrImpl.  Should implement specialized method!");

   TransMultVector(alpha, D, 0., X);
   X.ElementWiseMultiply(Z);
   X.Axpy(1., R);
   X.ElementWiseDivide(S);
}

ScaledMatrixSpace::ScaledMatrixSpace(
   const SmartPtr<const Vector>&      row_scaling,
   bool                               row_scaling_reciprocal,
   const SmartPtr<const MatrixSpace>& unscaled_matrix_space,
   const SmartPtr<const Vector>&      column_scaling,
   bool                               column_scaling_reciprocal
)
   : MatrixSpace(unscaled_matrix_space->NRows(), unscaled_matrix_space->NCols()),
     unscaled_matrix_space_(unscaled_matrix_space)
{
   if( IsValid(row_scaling) )
   {
      row_scaling_ = row_scaling->MakeNewCopy();
      if( row_scaling_reciprocal )
      {
         row_scaling_->ElementWiseReciprocal();
      }
   }
   else
   {
      row_scaling_ = NULL;
   }

   if( IsValid(column_scaling) )
   {
      column_scaling_ = column_scaling->MakeNewCopy();
      if( column_scaling_reciprocal )
      {
         column_scaling_->ElementWiseReciprocal();
      }
   }
   else
   {
      column_scaling_ = NULL;
   }
}

} // namespace Ipopt