Fixed fraction refinement criterion. Determines the refinement thresholds such that at least the specified fraction of the cells are marked for refinement. This ensures that not too few cells are marked, which could lead to very many refinement iterations, but may lead to erratic refinement if there are indeed only very local refinements necessary. More...
#include <errorest.hh>
Detailed Description
Fixed fraction refinement criterion. Determines the refinement thresholds such that at least the specified fraction of the cells are marked for refinement. This ensures that not too few cells are marked, which could lead to very many refinement iterations, but may lead to erratic refinement if there are indeed only very local refinements necessary.
In very rare circumstances (namely when there are many cells with exactly the same local error estimate), much more cells than the required fraction can be marked for refinement.
Definition at line 80 of file errorest.hh.
Public Member Functions | |
| FixedFractionCriterion (double fraction=0.2) | |
| std::vector< double > | threshold (boost::multi_array< double, 2 > const &normalizedErrors) const |
| Computes the thresholds for refinement. More... | |
Constructor & Destructor Documentation
◆ FixedFractionCriterion()
| Kaskade::FixedFractionCriterion::FixedFractionCriterion | ( | double | fraction = 0.2 | ) |
Member Function Documentation
◆ threshold()
|
inherited |
Computes the thresholds for refinement.
- Parameters
-
normalizedErrors a twodimensional array containing the normalized error contribution for each cell and each variable, i.e. normalizedErrors[i][j] contains the error contribution of cell i to the error in variable j, divided by the tolerance, such that the sum over i should not exceed one (for acceptance)
- Returns
- an array containing a threshold value such that any cell i for which normalizedErrors[i][j] > return[j] for any j is to be refined, or an empty array in case all variables are accurate enough
Referenced by Kaskade::EmbeddedErrorEstimator< VariableSetDescription, Scaling >::estimate().
The documentation for this class was generated from the following file:
