amr::Criteria::Persson< Dim, TensorTags > Class Template Reference

h-refine the grid based on power in the highest modes More...

#include <Persson.hpp>

Classes
struct	AbsoluteTolerance
struct	CoarseningFactor
struct	Exponent
struct	NumHighestModes
struct	VariablesToMonitor

Public Types
using	options = tmpl::list< VariablesToMonitor, NumHighestModes, Exponent, AbsoluteTolerance, CoarseningFactor >
using	compute_tags_for_observation_box = tmpl::list<>
using	argument_tags = tmpl::list<::Tags::DataBox >

Public Member Functions
	Persson (std::vector< std::string > vars_to_monitor, const size_t num_highest_modes, double alpha, double absolute_tolerance, double coarsening_factor, const Options::Context &context={})
Type	type () override
std::string	observation_name () override
template<typename DbTagsList , typename Metavariables >
std::array< Flag, Dim >	operator() (const db::DataBox< DbTagsList > &box, Parallel::GlobalCache< Metavariables > &cache, const ElementId< Dim > &element_id) const
void	pup (PUP::er &p) override
Public Member Functions inherited from amr::Criterion
	Criterion (CkMigrateMessage *msg)
	WRAPPED_PUPable_abstract (Criterion)
virtual Criteria::Type	type ()=0
virtual std::string	observation_name ()=0
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

template<size_t Dim, typename TensorTags>
class amr::Criteria::Persson< Dim, TensorTags >

h-refine the grid based on power in the highest modes

See also

persson_smoothness_indicator

Member Function Documentation

observation_name()

template<size_t Dim, typename TensorTags >

std::string amr::Criteria::Persson< Dim, TensorTags >::observation_name ( )

inlineoverridevirtual

Implements amr::Criterion.

type()

template<size_t Dim, typename TensorTags >

Type amr::Criteria::Persson< Dim, TensorTags >::type ( )

inlineoverridevirtual

Implements amr::Criterion.

Member Data Documentation

help

template<size_t Dim, typename TensorTags >

constexpr Options::String amr::Criteria::Persson< Dim, TensorTags >::help

staticconstexpr

Initial value:

= {
      "Refine the grid so the power in the highest modes stays below the "
      "tolerance"}

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

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