Refine the grid towards the target truncation error. More...

#include <TruncationError.hpp>

Classes
struct	AbsoluteTargetTruncationError

struct	RelativeTargetTruncationError

struct	VariablesToMonitor

Public Types
using	options = tmpl::list< VariablesToMonitor, AbsoluteTargetTruncationError, RelativeTargetTruncationError >

using	compute_tags_for_observation_box = tmpl::list<>

using	argument_tags = tmpl::list<::Tags::DataBox >

Public Member Functions
	TruncationError (std::vector< std::string > vars_to_monitor, const std::optional< double > target_abs_truncation_error, const std::optional< double > target_rel_truncation_error, const Options::Context &context={})

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 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::TruncationError< Dim, TensorTags >

Refine the grid towards the target truncation error.

If any tensor component has a truncation error above the target value, the element will be p-refined.
If all tensor components still satisfy the target even with one mode removed, the element will be p-coarsened.

For details on how the truncation error is computed see PowerMonitors::truncation_error.

Template Parameters

Dim	Spatial dimension of the grid
TensorTags	List of tags of the tensors to be monitored

Member Function Documentation

template<size_t Dim, typename TensorTags >

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

inlineoverridevirtual

template<size_t Dim, typename TensorTags >

staticconstexpr

Initial value:

= {

"Refine the grid towards the target truncation error"}

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