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

h-refine the grid based on a smoothness indicator More...

#include <Loehner.hpp>

Classes
struct	AbsoluteTolerance
struct	CoarseningFactor
struct	RelativeTolerance
struct	VariablesToMonitor

Public Types
using	options
using	compute_tags_for_observation_box = tmpl::list<>
using	argument_tags = tmpl::list<::Tags::DataBox>

Public Member Functions
	Loehner (std::vector< std::string > vars_to_monitor, double relative_tolerance, 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)
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.

Static Public Attributes
static constexpr Options::String	help

Detailed Description

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

h-refine the grid based on a smoothness indicator

The smoothness indicator used here is based on the magnitude of second derivatives. See amr::Criteria::loehner_smoothness_indicator for details and caveats.

See also

amr::Criteria::loehner_smoothness_indicator

Member Typedef Documentation

options

template<size_t Dim, typename TensorTags>

using amr::Criteria::Loehner< Dim, TensorTags >::options

Initial value:

 tmpl::list<VariablesToMonitor, RelativeTolerance,
                             AbsoluteTolerance, CoarseningFactor>

Member Function Documentation

observation_name()

template<size_t Dim, typename TensorTags>

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

inlineoverridevirtual

Implements amr::Criterion.

type()

template<size_t Dim, typename TensorTags>

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

inlineoverridevirtual

Implements amr::Criterion.

Member Data Documentation

help

template<size_t Dim, typename TensorTags>

Options::String amr::Criteria::Loehner< Dim, TensorTags >::help

staticconstexpr

Initial value:

= {
      "Refine the grid towards resolving an estimated error in the second "
      "derivative"}

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

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