// *****************************************************************
// *****************************************************************
bool NOX::Epetra::ModelEvaluatorInterface::
computePreconditioner(const Epetra_Vector& x,
              Epetra_Operator& M,
              Teuchos::ParameterList* precParams)
{
  EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();

  inargs_.set_x( Teuchos::rcp(&x, false) );
  outargs.set_WPrec( Teuchos::rcp(&M, false) );

  model_->evalModel(inargs_, outargs);

  inargs_.set_x(Teuchos::null);

  return true;
}
示例#2
0
// *****************************************************************
// *****************************************************************
bool LOCA::Epetra::ModelEvaluatorInterface::
computePreconditioner(const Epetra_Vector& x, 
		      Epetra_Operator& M,
		      Teuchos::ParameterList* precParams)
{
  // Create inargs
  EpetraExt::ModelEvaluator::InArgs inargs = model_->createInArgs();
  inargs.set_x(Teuchos::rcp(&x, false));

  // alpha and beta are stored from previous matrix computation
  // which might have been computeJacobian or computeShiftedMatrix
  // This is a state-full hack, but needed since this function
  // does not take alpha and beta as arguments. [AGS 01/10]
  if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_alpha))
    inargs.set_alpha(alpha_prev);
  if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_beta))
    inargs.set_beta(beta_prev);
  inargs.set_p(0, Teuchos::rcp(&param_vec, false));
  if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_x_dot)) {
    // Create x_dot, filled with zeros
    if (x_dot == NULL)
      x_dot = new Epetra_Vector(x.Map());
    inargs.set_x_dot(Teuchos::rcp(x_dot, false));
  }

  // Create outargs
  EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
  EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> eval_f;
  eval_f.reset(Teuchos::null, 
               EpetraExt::ModelEvaluator::EVAL_TYPE_VERY_APPROX_DERIV);
  outargs.set_f(eval_f);
  outargs.set_WPrec(Teuchos::rcp(&M, false));

  model_->evalModel(inargs, outargs);

  return true;
}