ddc::UniformPointSampling< CDim > Class Template Reference

UniformPointSampling models a uniform discretization of the provided continuous dimension. More...

#include <uniform_point_sampling.hpp>

Inheritance diagram for ddc::UniformPointSampling< CDim >:

Collaboration diagram for ddc::UniformPointSampling< CDim >:

Classes
class	Impl

Public Types
using	continuous_dimension_type = CDim
using	continuous_element_type = Coordinate< CDim >
using	discrete_dimension_type = UniformPointSampling

Static Public Member Functions
template<class DDim >
static std::tuple< typename DDim::template Impl< DDim, Kokkos::HostSpace >, DiscreteDomain< DDim > >	init (Coordinate< CDim > a, Coordinate< CDim > b, DiscreteVector< DDim > n)
	Construct a Impl<Kokkos::HostSpace> and associated discrete_domain_type from a segment \([a, b] \subset [a, +\infty[\) and a number of points n.
template<class DDim >
static std::tuple< typename DDim::template Impl< DDim, Kokkos::HostSpace >, DiscreteDomain< DDim >, DiscreteDomain< DDim >, DiscreteDomain< DDim >, DiscreteDomain< DDim > >	init_ghosted (Coordinate< CDim > a, Coordinate< CDim > b, DiscreteVector< DDim > n, DiscreteVector< DDim > n_ghosts_before, DiscreteVector< DDim > n_ghosts_after)
	Construct a uniform DiscreteDomain from a segment \([a, b] \subset [a, +\infty[\) and a number of points n.
template<class DDim >
static std::tuple< typename DDim::template Impl< DDim, Kokkos::HostSpace >, DiscreteDomain< DDim >, DiscreteDomain< DDim >, DiscreteDomain< DDim >, DiscreteDomain< DDim > >	init_ghosted (Coordinate< CDim > a, Coordinate< CDim > b, DiscreteVector< DDim > n, DiscreteVector< DDim > n_ghosts)
	Construct a uniform DiscreteDomain from a segment \([a, b] \subset [a, +\infty[\) and a number of points n.

Detailed Description

template<class CDim>
class ddc::UniformPointSampling< CDim >

UniformPointSampling models a uniform discretization of the provided continuous dimension.

Definition at line 35 of file uniform_point_sampling.hpp.

Member Typedef Documentation

continuous_dimension_type

template<class CDim >

using ddc::UniformPointSampling< CDim >::continuous_dimension_type = CDim

Definition at line 38 of file uniform_point_sampling.hpp.

continuous_element_type

template<class CDim >

using ddc::UniformPointSampling< CDim >::continuous_element_type = Coordinate<CDim>

Definition at line 40 of file uniform_point_sampling.hpp.

discrete_dimension_type

template<class CDim >

using ddc::UniformPointSampling< CDim >::discrete_dimension_type = UniformPointSampling

Definition at line 43 of file uniform_point_sampling.hpp.

Member Function Documentation

init()

template<class CDim >

template<class DDim >

static std::tuple< typename DDim::template Impl< DDim, Kokkos::HostSpace >, DiscreteDomain< DDim > > ddc::UniformPointSampling< CDim >::init ( Coordinate< CDim >  a, Coordinate< CDim >  b, DiscreteVector< DDim >  n  )

inlinestatic

Construct a Impl<Kokkos::HostSpace> and associated discrete_domain_type from a segment \([a, b] \subset [a, +\infty[\) and a number of points n.

Note that there is no guarantee that either the boundaries a or b will be exactly represented in the sampling. One should expect usual floating point rounding errors.

Parameters

a	coordinate of the first point of the domain
b	coordinate of the last point of the domain
n	number of points to map on the segment \([a, b]\) including a & b

Definition at line 132 of file uniform_point_sampling.hpp.

init_ghosted() [1/2]

template<class CDim >

template<class DDim >

static std::tuple< typename DDim::template Impl< DDim, Kokkos::HostSpace >, DiscreteDomain< DDim >, DiscreteDomain< DDim >, DiscreteDomain< DDim >, DiscreteDomain< DDim > > ddc::UniformPointSampling< CDim >::init_ghosted ( Coordinate< CDim >  a, Coordinate< CDim >  b, DiscreteVector< DDim >  n, DiscreteVector< DDim >  n_ghosts_before, DiscreteVector< DDim >  n_ghosts_after  )

inlinestatic

Construct a uniform DiscreteDomain from a segment \([a, b] \subset [a, +\infty[\) and a number of points n.

Note that there is no guarantee that either the boundaries a or b will be exactly represented in the sampling. One should expect usual floating point rounding errors.

Parameters

a	coordinate of the first point of the domain
b	coordinate of the last point of the domain
n	the number of points to map the segment \([a, b]\) including a & b
n_ghosts_before	number of additional "ghost" points before the segment
n_ghosts_after	number of additional "ghost" points after the segment

Definition at line 160 of file uniform_point_sampling.hpp.

init_ghosted() [2/2]

template<class CDim >

template<class DDim >

static std::tuple< typename DDim::template Impl< DDim, Kokkos::HostSpace >, DiscreteDomain< DDim >, DiscreteDomain< DDim >, DiscreteDomain< DDim >, DiscreteDomain< DDim > > ddc::UniformPointSampling< CDim >::init_ghosted ( Coordinate< CDim >  a, Coordinate< CDim >  b, DiscreteVector< DDim >  n, DiscreteVector< DDim >  n_ghosts  )

inlinestatic

Construct a uniform DiscreteDomain from a segment \([a, b] \subset [a, +\infty[\) and a number of points n.

Note that there is no guarantee that either the boundaries a or b will be exactly represented in the sampling. One should expect usual floating point rounding errors.

Parameters

a	coordinate of the first point of the domain
b	coordinate of the last point of the domain
n	the number of points to map the segment \([a, b]\) including a & b
n_ghosts	number of additional "ghost" points before and after the segment

Definition at line 206 of file uniform_point_sampling.hpp.

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

• uniform_point_sampling.hpp