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| SymmetricCriterion (const Parameters &parms) |
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| SymmetricCriterion () |
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void | setDefaultValuesIsotropic (std::size_t dim, std::size_t diameter=2) |
| Sets reasonable default values for an isotropic problem.
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void | setDefaultValuesAnisotropic (std::size_t dim, std::size_t diameter=2) |
| Sets reasonable default values for an aisotropic problem.
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void | init (const Matrix *matrix) |
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void | initRow (const Row &row, int index) |
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void | examine (const ColIter &col) |
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void | examine (G &graph, const typename G::EdgeIterator &edge, const ColIter &col) |
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bool | isIsolated () |
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void | setDebugLevel (int level) |
| Set the debugging level.
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int | debugLevel () const |
| Get the debugging Level.
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void | setNoPreSmoothSteps (std::size_t steps) |
| Set the number of presmoothing steps to apply.
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std::size_t | getNoPreSmoothSteps () const |
| Get the number of presmoothing steps to apply.
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void | setNoPostSmoothSteps (std::size_t steps) |
| Set the number of postsmoothing steps to apply.
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std::size_t | getNoPostSmoothSteps () const |
| Get the number of postsmoothing steps to apply.
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void | setGamma (std::size_t gamma) |
| Set the value of gamma; 1 for V-cycle, 2 for W-cycle.
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std::size_t | getGamma () const |
| Get the value of gamma; 1 for V-cycle, 2 for W-cycle.
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void | setAdditive (bool additive) |
| Set whether to use additive multigrid.
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bool | getAdditive () const |
| Get whether to use additive multigrid.
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void | setMaxLevel (int l) |
| Set the maximum number of levels allowed in the hierarchy.
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int | maxLevel () const |
| Get the maximum number of levels allowed in the hierarchy.
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void | setCoarsenTarget (int nodes) |
| Set the maximum number of unknowns allowed on the coarsest level.
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int | coarsenTarget () const |
| Get the maximum number of unknowns allowed on the coarsest level.
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void | setMinCoarsenRate (double rate) |
| Set the minimum coarsening rate to be achieved in each coarsening.
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double | minCoarsenRate () const |
| Get the minimum coarsening rate to be achieved.
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AccumulationMode | accumulate () const |
| Whether the data should be accumulated on fewer processes on coarser levels.
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void | setAccumulate (AccumulationMode accu) |
| Set whether he data should be accumulated on fewer processes on coarser levels.
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void | setAccumulate (bool accu) |
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void | setProlongationDampingFactor (double d) |
| Set the damping factor for the prolongation.
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double | getProlongationDampingFactor () const |
| Get the damping factor for the prolongation.
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std::size_t | maxDistance () const |
| Get the maximal distance allowed between two nodes in a aggregate.
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void | setMaxDistance (std::size_t distance) |
| Set the maximal distance allowed between two nodes in a aggregate.
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bool | skipIsolated () const |
| Whether isolated aggregates will not be represented on the coarse level.
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void | setSkipIsolated (bool skip) |
| Set whether isolated aggregates will not be represented on the coarse level.
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std::size_t | minAggregateSize () const |
| Get the minimum number of nodes a aggregate has to consist of.
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void | setMinAggregateSize (std::size_t size) |
| Set the minimum number of nodes a aggregate has to consist of.
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std::size_t | maxAggregateSize () const |
| Get the maximum number of nodes a aggregate is allowed to have.
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void | setMaxAggregateSize (std::size_t size) |
| Set the maximum number of nodes a aggregate is allowed to have.
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std::size_t | maxConnectivity () const |
| Get the maximum number of connections a aggregate is allowed to have.
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void | setMaxConnectivity (std::size_t connectivity) |
| Set the maximum number of connections a aggregate is allowed to have.
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void | setBeta (double b) |
| Set threshold for marking nodes as isolated. The default value is 1.0E-5.
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double | beta () const |
| Get the threshold for marking nodes as isolated. The default value is 1.0E-5.
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void | setAlpha (double a) |
| Set the scaling value for marking connections as strong. Default value is 1/3.
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double | alpha () const |
| Get the scaling value for marking connections as strong. Default value is 1/3.
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template<class M, class
Norm>
class Dune::Amg::SymmetricCriterion< M, Norm >
Criterion taking advantage of symmetric matrices.
- Template Parameters
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M | The type of the matrix the amg coarsening works on, e.g. BCRSMatrix |
Norm | The norm to use to determine the strong couplings between the nodes, e.g. FirstDiagonal or RowSum. |