/usr/include/trilinos/Stokhos_JacobiPreconditioner.hpp is in libtrilinos-stokhos-dev 12.12.1-5.
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#ifndef STOKHOS_JACOBIPRECONDITIONER_HPP
#define STOKHOS_JACOBIPRECONDITIONER_HPP
#include "Teuchos_RCP.hpp"
#include "Stokhos_Operator.hpp"
#include "Teuchos_SerialDenseMatrix.hpp"
namespace Stokhos {
template <typename ordinal_type, typename value_type>
class JacobiPreconditioner :
public Stokhos::Operator<ordinal_type,value_type> {
public:
//! Constructor
JacobiPreconditioner(
const Teuchos::SerialDenseMatrix<ordinal_type, value_type>& A_) : A(A_) {}
//! Destructor
virtual ~JacobiPreconditioner() {}
virtual ordinal_type ApplyInverse(
const Teuchos::SerialDenseMatrix<ordinal_type, value_type>& Input,
Teuchos::SerialDenseMatrix<ordinal_type, value_type>& Result,
ordinal_type m) const {
ordinal_type n=Input.numRows();
Teuchos::SerialDenseMatrix<ordinal_type, value_type> G(Teuchos::Copy,A);
Teuchos::SerialDenseMatrix<ordinal_type, value_type> z(n,1);
for (ordinal_type j=0; j<m; j++){
if (j==0){ // Compute z=D-1r
for (ordinal_type i=0; i<n; i++)
z(i,0)=Input(i,0)/A(i,i);
}
else {
//Compute G=invD(-L-U)=I-inv(D)A
for (ordinal_type i=0; i<n; i++){
for (ordinal_type j=0; j<n; j++){
if (j==i)
G(i,j)=0;
else
G(i,j)=-A(i,j)/A(i,i);
}
}
Result.assign(z);
//z=Gz+inv(D)r
Result.multiply(Teuchos::NO_TRANS,Teuchos::NO_TRANS,1.0, G, z, 1.0);
}
}
return 0;
}
protected:
const Teuchos::SerialDenseMatrix<ordinal_type, value_type>& A;
}; // class JacobiPreconditioner
} // namespace Stokhos
#endif // STOKHOS_JACOBIPRECONDITIONER_HPP
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