refinement.h File Reference

#include <deal.II/base/config.h>
#include <deal.II/base/template_constraints.h>
#include <functional>
#include <vector>

Go to the source code of this file.

Namespaces
namespace	hp
namespace	hp::Refinement

Typedefs
template<typename Number >
using	hp::Refinement::ComparisonFunction = std::function< bool(const Number &, const Number &)>

Functions
Setting p-adaptivity flags
template<int dim, int spacedim>
void	hp::Refinement::full_p_adaptivity (const DoFHandler< dim, spacedim > &dof_handler)
template<int dim, int spacedim>
void	hp::Refinement::p_adaptivity_from_flags (const DoFHandler< dim, spacedim > &dof_handler, const std::vector< bool > &p_flags)
template<int dim, typename Number , int spacedim>
void	hp::Refinement::p_adaptivity_from_absolute_threshold (const DoFHandler< dim, spacedim > &dof_handler, const Vector< Number > &criteria, const Number p_refine_threshold, const Number p_coarsen_threshold, const ComparisonFunction< std_cxx20::type_identity_t< Number > > &compare_refine=std::greater_equal< Number >(), const ComparisonFunction< std_cxx20::type_identity_t< Number > > &compare_coarsen=std::less_equal< Number >())
template<int dim, typename Number , int spacedim>
void	hp::Refinement::p_adaptivity_from_relative_threshold (const DoFHandler< dim, spacedim > &dof_handler, const Vector< Number > &criteria, const double p_refine_fraction=0.5, const double p_coarsen_fraction=0.5, const ComparisonFunction< std_cxx20::type_identity_t< Number > > &compare_refine=std::greater_equal< Number >(), const ComparisonFunction< std_cxx20::type_identity_t< Number > > &compare_coarsen=std::less_equal< Number >())
template<int dim, typename Number , int spacedim>
void	hp::Refinement::p_adaptivity_fixed_number (const DoFHandler< dim, spacedim > &dof_handler, const Vector< Number > &criteria, const double p_refine_fraction=0.5, const double p_coarsen_fraction=0.5, const ComparisonFunction< std_cxx20::type_identity_t< Number > > &compare_refine=std::greater_equal< Number >(), const ComparisonFunction< std_cxx20::type_identity_t< Number > > &compare_coarsen=std::less_equal< Number >())
template<int dim, typename Number , int spacedim>
void	hp::Refinement::p_adaptivity_from_regularity (const DoFHandler< dim, spacedim > &dof_handler, const Vector< Number > &sobolev_indices)
template<int dim, typename Number , int spacedim>
void	hp::Refinement::p_adaptivity_from_reference (const DoFHandler< dim, spacedim > &dof_handler, const Vector< Number > &criteria, const Vector< Number > &references, const ComparisonFunction< std_cxx20::type_identity_t< Number > > &compare_refine, const ComparisonFunction< std_cxx20::type_identity_t< Number > > &compare_coarsen)
Error prediction
template<int dim, typename Number , int spacedim>
void	hp::Refinement::predict_error (const DoFHandler< dim, spacedim > &dof_handler, const Vector< Number > &error_indicators, Vector< Number > &predicted_errors, const double gamma_p=std::sqrt(0.4), const double gamma_h=2., const double gamma_n=1.)
Decide between h- and p-adaptivity
template<int dim, int spacedim>
void	hp::Refinement::force_p_over_h (const DoFHandler< dim, spacedim > &dof_handler)
template<int dim, int spacedim>
void	hp::Refinement::choose_p_over_h (const DoFHandler< dim, spacedim > &dof_handler)
Optimize p-level distribution
template<int dim, int spacedim>
bool	hp::Refinement::limit_p_level_difference (const DoFHandler< dim, spacedim > &dof_handler, const unsigned int max_difference=1, const unsigned int contains_fe_index=0)