예제 #1
0
int ep_upk(ep_t r, const ep_t p) {
	fp_t t;
	int result = 0;

	fp_null(t);

	TRY {
		fp_new(t);

		ep_rhs(t, p);

		/* t0 = sqrt(x1^3 + a * x1 + b). */
		result = fp_srt(t, t);

		if (result) {
			/* Verify if least significant bit of the result matches the
			 * compressed y-coordinate. */
			if (fp_get_bit(t, 0) != fp_get_bit(p->y, 0)) {
				fp_neg(t, t);
			}
			fp_copy(r->x, p->x);
			fp_copy(r->y, t);
			fp_set_dig(r->z, 1);
			r->norm = 1;
		}
	}
	CATCH_ANY {
		THROW(ERR_CAUGHT);
	}
	FINALLY {
		fp_free(t);
	}
	return result;
}
예제 #2
0
int ep_is_valid(const ep_t p) {
	ep_t t;
	int r = 0;

	ep_null(t);

	TRY {
		ep_new(t);

		ep_norm(t, p);

		ep_rhs(t->x, t);
		fp_sqr(t->y, t->y);
		r = (fp_cmp(t->x, t->y) == CMP_EQ) || ep_is_infty(p);
	} CATCH_ANY {
		THROW(ERR_CAUGHT);
	} FINALLY {
		ep_free(t);
	}
	return r;
}
예제 #3
0
void CEigenLSS::solve()
{
#ifdef CF_HAVE_TRILINOS
  Timer timer;
  const Uint nb_rows = size();
  cf_assert(nb_rows == m_system_matrix.outerSize());

  Epetra_SerialComm comm;
  Epetra_Map map(nb_rows, 0, comm);

  Epetra_Vector ep_rhs(View, map, m_rhs.data());
  Epetra_Vector ep_sol(View, map, m_solution.data());

  // Count non-zeros
  std::vector<int> nnz(nb_rows, 0);
  for(int row=0; row < nb_rows; ++row)
  {
    for(MatrixT::InnerIterator it(m_system_matrix, row); it; ++it)
    {
      ++nnz[row];
    }
    cf_assert(nnz[row]);
  }

  Epetra_CrsMatrix ep_A(Copy, map, &nnz[0]);
  time_matrix_construction = timer.elapsed(); timer.restart();

  // Fill the matrix
  for(int row=0; row < nb_rows; ++row)
  {
    std::vector<int> indices; indices.reserve(nnz[row]);
    std::vector<Real> values; values.reserve(nnz[row]);
    for(MatrixT::InnerIterator it(m_system_matrix, row); it; ++it)
    {
      indices.push_back(it.col());
      values.push_back(it.value());
    }
    ep_A.InsertGlobalValues(row, nnz[row], &values[0], &indices[0]);
  }

  ep_A.FillComplete();

  time_matrix_fill = timer.elapsed(); timer.restart();

///////////////////////////////////////////////////////////////////////////////////////////////
//BEGIN////////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////////////

  Teuchos::RCP<Epetra_CrsMatrix> epetra_A=Teuchos::rcpFromRef(ep_A);
  Teuchos::RCP<Epetra_Vector>    epetra_x=Teuchos::rcpFromRef(ep_sol);
  Teuchos::RCP<Epetra_Vector>    epetra_b=Teuchos::rcpFromRef(ep_rhs);

  const URI config_uri = option("config_file").value<URI>();
  const std::string config_path = config_uri.path();

  Stratimikos::DefaultLinearSolverBuilder linearSolverBuilder(config_path); // the most important in general setup

  Teuchos::RCP<Teuchos::FancyOStream> out = Teuchos::VerboseObjectBase::getDefaultOStream(); // TODO: decouple from fancyostream to ostream or to C stdout when possible
  typedef Teuchos::ParameterList::PrintOptions PLPrintOptions;
  Teuchos::CommandLineProcessor  clp(false); // false: don't throw exceptions

  Teuchos::RCP<const Thyra::LinearOpBase<double> > A = Thyra::epetraLinearOp( epetra_A );
  Teuchos::RCP<Thyra::VectorBase<double> >         x = Thyra::create_Vector( epetra_x, A->domain() );
  Teuchos::RCP<const Thyra::VectorBase<double> >   b = Thyra::create_Vector( epetra_b, A->range() );

  // r = b - A*x, initial L2 norm
  double nrm_r=0.;
  Real systemResidual=-1.;
  {
    Epetra_Vector epetra_r(*epetra_b);
    Epetra_Vector epetra_A_x(epetra_A->OperatorRangeMap());
    epetra_A->Apply(*epetra_x,epetra_A_x);
    epetra_r.Update(-1.0,epetra_A_x,1.0);
    epetra_r.Norm2(&nrm_r);
  }

  // Reading in the solver parameters from the parameters file and/or from
  // the command line.  This was setup by the command-line options
  // set by the setupCLP(...) function above.
  linearSolverBuilder.readParameters(0); // out.get() if want confirmation about the xml file within trilinos
  Teuchos::RCP<Thyra::LinearOpWithSolveFactoryBase<double> > lowsFactory = linearSolverBuilder.createLinearSolveStrategy(""); // create linear solver strategy
  lowsFactory->setVerbLevel(Teuchos::VERB_NONE); // set verbosity

//  // print back default and current settings
//  if (opts->trilinos.dumpDefault!=0) {
//    fflush(stdout); cout << flush;
//    _MMESSAGE_(0,1,"Dumping Trilinos/Stratimikos solver defaults to files: 'trilinos_default.txt' and 'trilinos_default.xml'...\n");
//    fflush(stdout); cout << flush;
//    std::ofstream ofs("./trilinos_default.txt");
//    linearSolverBuilder.getValidParameters()->print(ofs,PLPrintOptions().indent(2).showTypes(true).showDoc(true)); // the last true-false is the deciding about whether printing documentation to option or not
//    ofs.flush();ofs.close();
//    ofs.open("./trilinos_default.xml");
//    Teuchos::writeParameterListToXmlOStream(*linearSolverBuilder.getValidParameters(),ofs);
//    ofs.flush();ofs.close();
//  }
//  if (opts->trilinos.dumpCurrXML!=0) {
//    fflush(stdout); cout << flush;
//    _MMESSAGE_(0,1,"Dumping Trilinos/Stratimikos current settings to file: 'trilinos_current.xml'...\n");
//    fflush(stdout); cout << flush;
//    linearSolverBuilder.writeParamsFile(*lowsFactory,"./trilinos_current.xml");
//  }

  time_solver_setup = timer.elapsed(); timer.restart();

  // solve the matrix
  Teuchos::RCP<Thyra::LinearOpWithSolveBase<double> > lows = Thyra::linearOpWithSolve(*lowsFactory, A); // create solver
  Thyra::solve(*lows, Thyra::NOTRANS, *b, &*x); // solve

  time_solve = timer.elapsed(); timer.restart();

  // r = b - A*x, final L2 norm
  {
    Epetra_Vector epetra_r(*epetra_b);
    Epetra_Vector epetra_A_x(epetra_A->OperatorRangeMap());
    epetra_A->Apply(*epetra_x,epetra_A_x);
    epetra_r.Update(-1.0,epetra_A_x,1.0);
    systemResidual=1./nrm_r;
    nrm_r=0.;
    epetra_r.Norm2(&nrm_r);
    systemResidual*=nrm_r;
  }

  time_residual = timer.elapsed();

///////////////////////////////////////////////////////////////////////////////////////////////
//END//////////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////////////

#else // no trilinos

#ifdef CF_HAVE_SUPERLU
  Eigen::SparseMatrix<Real> A(m_system_matrix);
  Eigen::SparseLU<Eigen::SparseMatrix<Real>,Eigen::SuperLU> lu_of_A(A);
  if(!lu_of_A.solve(rhs(), &m_solution))
    throw Common::FailedToConverge(FromHere(), "Solution failed.");
#else // no trilinos and no superlu
  RealMatrix A(m_system_matrix);
  Eigen::FullPivLU<RealMatrix> lu_of_A(A);
  m_solution = lu_of_A.solve(m_rhs);
#endif // end ifdef superlu

#endif // end ifdef trilinos

}