//! Set multi-vector values to random numbers. XPetra implementation
    virtual void Xpetra_randomize()
    {
        typedef Teuchos::ScalarTraits<Scalar> SCT;

        const size_t numVectors = getNumVectors();
        for (size_t i = 0; i < numVectors; i++)
        {
            Teuchos::ArrayRCP< Scalar > datai = getDataNonConst(i);

            const size_t myLength = getLocalLength();
            for(size_t j=0; j<myLength; j++)
            {
                datai[j] = SCT::random();
            }
        }
    }
Beispiel #2
0
  virtual
  void evalModelImpl(
      const Thyra::ModelEvaluatorBase::InArgs<double> &in_args,
      const Thyra::ModelEvaluatorBase::OutArgs<double> &out_args
      ) const
  {
    const auto & x_in = in_args.get_x();
#ifndef NDEBUG
    TEUCHOS_ASSERT(!x_in.is_null());
#endif
    // create corresponding tpetra vector
    auto x_in_tpetra =
      Thyra::TpetraOperatorVectorExtraction<double,int,int>::getConstTpetraVector(
          x_in
          );

    // compute F
    const auto & f_out = out_args.get_f();
    if (!f_out.is_null()) {
      // Dissect in_args.get_p(0) into parameter sublists.
      const auto & p_in = in_args.get_p(0);
#ifndef NDEBUG
      TEUCHOS_ASSERT(!p_in.is_null());
      // Make sure the parameters aren't NaNs.
      for (int k = 0; k < p_in->space()->dim(); k++) {
        TEUCHOS_ASSERT(!std::isnan(Thyra::get_ele(*p_in, k)));
      }
#endif
      // Fill the parameters into a std::map.
      const auto param_names = this->get_p_names(0);
      const double alph = Thyra::get_ele(*p_in, 0);

      auto f_out_tpetra =
        Thyra::TpetraOperatorVectorExtraction<double,int,int>::getTpetraVector(
            f_out
            );
      const auto x_data = x_in_tpetra->getData();
      auto f_data = f_out_tpetra->getDataNonConst();
      for (size_t i = 0; i < f_data.size(); i++) {
        f_data[i] = x_data[i] * x_data[i] - alph;
      }
    }

    // Compute df/dp.
    const auto & derivMv = out_args.get_DfDp(0).getDerivativeMultiVector();
    const auto & dfdp_out = derivMv.getMultiVector();
    if (!dfdp_out.is_null()) {
      auto dfdp_out_tpetra =
        Thyra::TpetraOperatorVectorExtraction<double,int,int>::getTpetraMultiVector(
            dfdp_out
            );

      TEUCHOS_ASSERT_EQUALITY(dfdp_out_tpetra->getNumVectors(), 1);
      auto out = dfdp_out_tpetra->getVectorNonConst(0);
      auto out_data = out->getDataNonConst();
      for (size_t k = 0; k < out_data.size(); k++) {
        out_data[k] = -1.0;
      }
    }

    // Fill Jacobian.
    const auto & W_out = out_args.get_W_op();
    if(!W_out.is_null()) {
      auto W_outT =
        Thyra::TpetraOperatorVectorExtraction<double,int,int>::getTpetraOperator(
            W_out
            );
      const auto & jac = Teuchos::rcp_dynamic_cast<jac_sqrt_alpha>(W_outT, true);
      jac->set_x0(*x_in_tpetra);
    }

    return;
  }