A fast (sequential) algebraic multigrid based on agglomeration that saves memory bandwidth.
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| | FastAMG (OperatorHierarchy &matrices, CoarseSolver &coarseSolver, const Parameters &parms, bool symmetric=true) |
| | Construct a new amg with a specific coarse solver.
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| template<class C> |
| | FastAMG (std::shared_ptr< const Operator > fineOperator, const C &criterion, const Parameters &parms=Parameters(), bool symmetric=true, const ParallelInformation &pinfo=ParallelInformation()) |
| | Construct an AMG with an inexact coarse solver based on the smoother.
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| template<class C> |
| | FastAMG (const Operator &fineOperator, const C &criterion, const Parameters &parms=Parameters(), bool symmetric=true, const ParallelInformation &pinfo=ParallelInformation()) |
| | Construct an AMG with an inexact coarse solver based on the smoother.
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| | FastAMG (const FastAMG &amg) |
| | Copy constructor.
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| void | pre (Domain &x, Range &b) |
| | Prepare the preconditioner.
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| void | apply (Domain &v, const Range &d) |
| | Apply one step of the preconditioner to the system A(v)=d.
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| virtual SolverCategory::Category | category () const |
| | Category of the preconditioner (see SolverCategory::Category).
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| void | post (Domain &x) |
| | Clean up.
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| template<class A1> |
| void | getCoarsestAggregateNumbers (std::vector< std::size_t, A1 > &cont) |
| | Get the aggregate number of each unknown on the coarsest level.
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| std::size_t | levels () |
| std::size_t | maxlevels () |
| void | recalculateHierarchy () |
| | Recalculate the matrix hierarchy.
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| bool | usesDirectCoarseLevelSolver () const |
| | Check whether the coarse solver used is a direct solver.
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template<class M, class X, class PI = SequentialInformation, class A = std::allocator<X>>
class Dune::Amg::FastAMG< M, X, PI, A >
A fast (sequential) algebraic multigrid based on agglomeration that saves memory bandwidth.
It combines one Gauss-Seidel smoothing sweep with the defect calculation to reduce memory transfers.
- Template Parameters
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