amr::Criteria::Random Class Reference

Randomly h-refine (or coarsen) an Element in each dimension. More...

#include <Random.hpp>

Classes
struct	ChangeRefinementFraction
	The fraction of the time random refinement does changes the grid. More...
struct	MaximumRefinementLevel
	The maximum allowed refinement level. More...

Public Types
using	options = tmpl::list< ChangeRefinementFraction, MaximumRefinementLevel >
using	compute_tags_for_observation_box = tmpl::list<>
using	argument_tags = tmpl::list<>

Public Member Functions
	Random (const double do_something_fraction, const size_t maximum_refinement_level)
template<typename Metavariables >
auto	operator() (Parallel::GlobalCache< Metavariables > &, const ElementId< Metavariables::volume_dim > &element_id) const
void	pup (PUP::er &p) override
Public Member Functions inherited from amr::Criterion
	Criterion (CkMigrateMessage *msg)
	WRAPPED_PUPable_abstract (Criterion)
template<typename ComputeTagsList , typename DataBoxType , typename Metavariables >
auto	evaluate (const ObservationBox< ComputeTagsList, DataBoxType > &box, Parallel::GlobalCache< Metavariables > &cache, const ElementId< Metavariables::volume_dim > &element_id) const
	Evaluates the AMR criteria by selecting the appropriate derived class and forwarding its argument_tags from the ObservationBox (along with the GlobalCache and ArrayIndex) to the call operator of the derived class. More...

Static Public Attributes
static constexpr Options::String	help

Detailed Description

Randomly h-refine (or coarsen) an Element in each dimension.

Details

Let \(f\) be ChangeRefinementFraction, \(L_{max}\) be MaximumRefinementLevel, and \(L_d\) be the current refinement level of an Element in a particular dimension. In each dimension, a random number \(r_d \in [0, 1]\) is generated. If \(r_d > f\) the refinement flag is set to amr::Flags::DoNothing. If \(r_d < f L_d / L_{max}\) the refinement flag is set to amr::Flags::Join. Otherwise the refinement flag is set to amr::Flag::Split.

Note

This criterion is primarily useful for testing the mechanics of h-refinement

Member Data Documentation

help

constexpr Options::String amr::Criteria::Random::help

staticconstexpr

Initial value:

= {
      "Randomly h-refine (or coarsen) the grid"}

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The documentation for this class was generated from the following file:

• src/ParallelAlgorithms/Amr/Criteria/Random.hpp