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HLIBpro
2.3.1
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implements Jacobi preconditioner More...
#include <TJacobi.hh>
Public Member Functions | |
| TJacobi (TMatrix *A, const real damping=1.0) | |
| const TMatrix * | matrix () const |
| return sparse matrix | |
| real | damping_factor () const |
| return damping factor | |
| bool | is_complex () const |
| return true, if field type is complex | |
| bool | is_self_adjoint () const |
| return true, of operator is self adjoint | |
| virtual void | apply (const TVector *x, TVector *y, const matop_t op) const |
| virtual void | apply_add (const real alpha, const TVector *x, TVector *y, const matop_t op) const |
| virtual auto | domain_vector () const -> std::unique_ptr< TVector > |
| return vector in domain space | |
| virtual auto | range_vector () const -> std::unique_ptr< TVector > |
| return vector in range space | |
Public Member Functions inherited from TTypeInfo | |
| virtual typeid_t | type () const =0 |
| return type ID of object | |
| virtual bool | is_type (const typeid_t t) const |
| return true if local object is of given type ID t | |
| virtual std::string | typestr () const |
| return string representation of type | |
TJacobi provides application of a Jacobi type preconditioner for a given matrix A, e.g.
with
being the diagonal of A. Here, A may be of any type, e.g. dense, low-rank, block or sparse matrix. The diagonal elements are assumed to be non-zero.
construct Jacobi preconditioner based on sparse matrix A with damping factor damping
mapping function of linear operator
, e.g.
. Depending on op, either
,
or
is applied.
Implements TLinearOperator.
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virtual |
mapping function with update:
. Depending on op, either
,
or
is applied.
Implements TLinearOperator.
1.8.9.1