/usr/include/trilinos/Stokhos_InversePreconditioner.hpp is in libtrilinos-stokhos-dev 12.10.1-3.
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#ifndef STOKHOS_INVERSEPRECONDITIONER_HPP
#define STOKHOS_INVERSEPRECONDITIONER_HPP
#include "Teuchos_RCP.hpp"
#include "Stokhos_Operator.hpp"
#include "Teuchos_SerialDenseMatrix.hpp"
#include "Teuchos_SerialDenseSolver.hpp"
namespace Stokhos {
template <typename ordinal_type, typename value_type>
class InversePreconditioner :
public Stokhos::Operator<ordinal_type,double> {
public:
//! Constructor
InversePreconditioner(
const Teuchos::SerialDenseMatrix<ordinal_type,double> & A_) : A(A_) {}
//! Destructor
virtual ~InversePreconditioner() {}
virtual ordinal_type ApplyInverse(
const Teuchos::SerialDenseMatrix<ordinal_type, value_type>& Input,
Teuchos::SerialDenseMatrix<ordinal_type, value_type>& Result,
ordinal_type m) const {
Teuchos::RCP< Teuchos::SerialDenseMatrix<ordinal_type, value_type> > AA, UU, RR;
AA = Teuchos::rcp(new Teuchos::SerialDenseMatrix<ordinal_type, value_type> (Teuchos::Copy,A));
UU = Teuchos::rcp(new Teuchos::SerialDenseMatrix<ordinal_type, value_type> (Teuchos::Copy,Result));
RR = Teuchos::rcp(new Teuchos::SerialDenseMatrix<ordinal_type, value_type> (Teuchos::Copy,Input));
// Setup solver
Teuchos::SerialDenseSolver<ordinal_type, value_type> solver;
solver.setMatrix(AA);
solver.setVectors(UU, RR);
//Solve A*Result=Input
if (solver.shouldEquilibrate()) {
solver.factorWithEquilibration(true);
solver.equilibrateMatrix();
}
solver.solve();
for (ordinal_type i=0; i<A.numRows(); i++)
Result(i,0)=(*UU)(i,0);
return 0;
}
protected:
const Teuchos::SerialDenseMatrix<ordinal_type,value_type> & A;
}; // class InversePreconditioner
} // namespace Stokhos
#endif // STOKHOS_INVERSEPRECONDITIONER_HPP
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