HLIBpro
2.2
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implements SOR preconditioner More...
#include <TSOR.hh>
Public Member Functions | |
TSOR (const TSparseMatrix *A, const sor_type_t sor_type, const real omega=1.0, const real damping=1.0) | |
const TSparseMatrix * | matrix () const |
return internal sparse matrix | |
sor_type_t | sor_type () const |
return SOR type | |
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 TVector * | domain_vector () const |
return vector in domain space | |
virtual TVector * | range_vector () const |
return vector in range space | |
Public Member Functions inherited from TLinearOperator | |
virtual typeid_t | type () const |
return type ID of matrix | |
Public Member Functions inherited from TTypeInfo | |
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 | |
TSOR provides application of a SOR type preconditioner for a given matrix , with diagonal D, strictly lower triangular matrix L and strictly upper triangular matrix U.
For forward SOR, the applied operator is , for backward SOR and the combination of both for the symmetric SOR.
The matrix A must be a sparse matrix.
TSOR | ( | const TSparseMatrix * | A, |
const sor_type_t | sor_type, | ||
const real | omega = 1.0 , |
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const real | damping = 1.0 |
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constructs SOR preconditioner of type sor_type using coefficients as defined by A
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.