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

Refine the grid towards the target constraint violation. More...

#include <Constraints.hpp>

Classes
struct	AbsoluteTarget
struct	CoarseningFactor
struct	ConstraintsToMonitor

Public Types
using	options = tmpl::list< ConstraintsToMonitor, AbsoluteTarget, CoarseningFactor >
using	compute_tags_for_observation_box = tmpl::append< TensorTags, tmpl::list< domain::Tags::JacobianCompute< Dim, Frame::ElementLogical, Frame::Inertial >, Events::Tags::ObserverJacobianCompute< Dim, Frame::ElementLogical, Frame::Inertial > > >
using	argument_tags = tmpl::list<::Tags::ObservationBox >

Public Member Functions
	Constraints (std::vector< std::string > vars_to_monitor, double abs_target, double coarsening_factor, const Options::Context &context={})
std::string	observation_name () override
template<typename ComputeTagsList , typename DataBoxType , typename Metavariables >
std::array< Flag, Dim >	operator() (const ObservationBox< ComputeTagsList, DataBoxType > &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::Constraints< Dim, TensorTags >

Refine the grid towards the target constraint violation.

• If any constraint is above the target value, the element will be p-refined.
• If all constraints are below the target times the "coarsening factor" the element will be p-coarsened.

This criterion is based on Sec. 6.1.4 in [186] .

If the coarsening factor turns out to be hard to choose, then we can try to eliminate it by projecting the variables to a lower polynomial order before computing constraints, or something like that.

Template Parameters

Dim	Spatial dimension of the grid
TensorTags	List of tags of the constraints to be monitored. These must be tensors of rank 2 or higher. The first index must be a lower spatial index that originates from a derivative.

Member Function Documentation

observation_name()

template<size_t Dim, typename TensorTags >

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

inlineoverridevirtual

Implements amr::Criterion.

Member Data Documentation

help

template<size_t Dim, typename TensorTags >

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

staticconstexpr

Initial value:

= {
      "Refine the grid towards the target constraint violation"}

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

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