SpECTRE
v2022.12.02

Functions and classes specific to the discontinuous Galerkin method supplemented with a finite volume or finite difference subcell limiter. Can also be thought of as a DGFD hybrid method. More...
Namespaces  
namespace  evolution::dg::subcell 
Implementation of a generic finite volume/conservative finite difference subcell limiter.  
namespace  evolution::dg::subcell::fv 
Code specific to a finite volume subcell limiter.  
namespace  evolution::dg::subcell::fd 
Code specific to a conservative finite difference subcell limiter.  
namespace  evolution::dg::subcell::fd::Actions 
Actions specific to using a finitedifference subcell method.  
namespace  evolution::dg::subcell::fd::Tags 
Tags for the DGsubcell finite difference solver  
namespace  evolution::dg::subcell::Tags 
Tags for the DGsubcell solver  
namespace  evolution::dg::subcell::OptionTags 
Option tags for the DGsubcell solver.  
namespace  evolution::dg::subcell::Actions 
Actions for the DGsubcell hybrid solver.  
Enumerations  
enum class  evolution::dg::subcell::ActiveGrid { Dg , Subcell } 
The grid that is currently being used for the DGsubcell evolution.  
Functions  
const Matrix &  evolution::dg::subcell::fd::projection_matrix (const Mesh< 1 > &dg_mesh, size_t subcell_extents) 
Computes the projection matrix in 1 dimension going from a DG mesh to a conservative finite difference subcell mesh.  
template<size_t Dim>  
const Matrix &  evolution::dg::subcell::fd::reconstruction_matrix (const Mesh< Dim > &dg_mesh, const Index< Dim > &subcell_extents) 
Computes the matrix needed for reconstructing the DG solution from the subcell solution. More...  
const Matrix &  evolution::dg::subcell::fd::projection_matrix (const Mesh< 1 > &dg_mesh, size_t subcell_extents, size_t ghost_zone_size, Side side) 
Computes the projection matrix in 1 dimension going from a DG mesh to a conservative finite difference subcell mesh for only the ghost zones. More...  
template<size_t Dim>  
DataVector  evolution::dg::subcell::fd::project (const DataVector &dg_u, const Mesh< Dim > &dg_mesh, const Index< Dim > &subcell_extents) 
Project the variable dg_u onto the subcell grid with extents subcell_extents . More...  
template<size_t Dim>  
void  evolution::dg::subcell::fd::project (gsl::not_null< DataVector * > subcell_u, const DataVector &dg_u, const Mesh< Dim > &dg_mesh, const Index< Dim > &subcell_extents) 
Project the variable dg_u onto the subcell grid with extents subcell_extents . More...  
template<typename SubcellTagList , typename DgTagList , size_t Dim>  
void  evolution::dg::subcell::fd::project (const gsl::not_null< Variables< SubcellTagList > * > subcell_u, const Variables< DgTagList > &dg_u, const Mesh< Dim > &dg_mesh, const Index< Dim > &subcell_extents) 
Project the variable dg_u onto the subcell grid with extents subcell_extents . More...  
template<typename TagList , size_t Dim>  
Variables< TagList >  evolution::dg::subcell::fd::project (const Variables< TagList > &dg_u, const Mesh< Dim > &dg_mesh, const Index< Dim > &subcell_extents) 
Project the variable dg_u onto the subcell grid with extents subcell_extents . More...  
template<size_t Dim>  
DataVector  evolution::dg::subcell::fd::reconstruct (const DataVector &subcell_u_times_projected_det_jac, const Mesh< Dim > &dg_mesh, const Index< Dim > &subcell_extents, ReconstructionMethod reconstruction_method) 
reconstruct the variable subcell_u_times_projected_det_jac onto the DG grid dg_mesh . More...  
template<size_t Dim>  
void  evolution::dg::subcell::fd::reconstruct (gsl::not_null< DataVector * > dg_u, const DataVector &subcell_u_times_projected_det_jac, const Mesh< Dim > &dg_mesh, const Index< Dim > &subcell_extents, ReconstructionMethod reconstruction_method) 
reconstruct the variable subcell_u_times_projected_det_jac onto the DG grid dg_mesh . More...  
template<typename SubcellTagList , typename DgTagList , size_t Dim>  
void  evolution::dg::subcell::fd::reconstruct (const gsl::not_null< Variables< DgTagList > * > dg_u, const Variables< SubcellTagList > &subcell_u, const Mesh< Dim > &dg_mesh, const Index< Dim > &subcell_extents, const ReconstructionMethod reconstruction_method) 
reconstruct the variable subcell_u_times_projected_det_jac onto the DG grid dg_mesh . More...  
template<typename TagList , size_t Dim>  
Variables< TagList >  evolution::dg::subcell::fd::reconstruct (const Variables< TagList > &subcell_u, const Mesh< Dim > &dg_mesh, const Index< Dim > &subcell_extents, const ReconstructionMethod reconstruction_method) 
reconstruct the variable subcell_u_times_projected_det_jac onto the DG grid dg_mesh . More...  
Functions and classes specific to the discontinuous Galerkin method supplemented with a finite volume or finite difference subcell limiter. Can also be thought of as a DGFD hybrid method.
DataVector evolution::dg::subcell::fd::project  (  const DataVector &  dg_u, 
const Mesh< Dim > &  dg_mesh,  
const Index< Dim > &  subcell_extents  
) 
Project the variable dg_u
onto the subcell grid with extents subcell_extents
.
gsl::not_null
with Variables
interface, the SubcellTagList
and the DgtagList
must be the same when all tag prefixes are removed. void evolution::dg::subcell::fd::project  (  const gsl::not_null< Variables< SubcellTagList > * >  subcell_u, 
const Variables< DgTagList > &  dg_u,  
const Mesh< Dim > &  dg_mesh,  
const Index< Dim > &  subcell_extents  
) 
Project the variable dg_u
onto the subcell grid with extents subcell_extents
.
gsl::not_null
with Variables
interface, the SubcellTagList
and the DgtagList
must be the same when all tag prefixes are removed. Variables< TagList > evolution::dg::subcell::fd::project  (  const Variables< TagList > &  dg_u, 
const Mesh< Dim > &  dg_mesh,  
const Index< Dim > &  subcell_extents  
) 
Project the variable dg_u
onto the subcell grid with extents subcell_extents
.
gsl::not_null
with Variables
interface, the SubcellTagList
and the DgtagList
must be the same when all tag prefixes are removed. void evolution::dg::subcell::fd::project  (  gsl::not_null< DataVector * >  subcell_u, 
const DataVector &  dg_u,  
const Mesh< Dim > &  dg_mesh,  
const Index< Dim > &  subcell_extents  
) 
Project the variable dg_u
onto the subcell grid with extents subcell_extents
.
gsl::not_null
with Variables
interface, the SubcellTagList
and the DgtagList
must be the same when all tag prefixes are removed. const Matrix & evolution::dg::subcell::fd::projection_matrix  (  const Mesh< 1 > &  dg_mesh, 
size_t  subcell_extents,  
size_t  ghost_zone_size,  
Side  side  
) 
Computes the projection matrix in 1 dimension going from a DG mesh to a conservative finite difference subcell mesh for only the ghost zones.
This is used when a neighbor sends DG volume data and we need to switch to FD. In this case we need to project the DG volume data onto the ghost zone cells.
5
and a minimum ghost zone size of 2. DataVector evolution::dg::subcell::fd::reconstruct  (  const DataVector &  subcell_u_times_projected_det_jac, 
const Mesh< Dim > &  dg_mesh,  
const Index< Dim > &  subcell_extents,  
ReconstructionMethod  reconstruction_method  
) 
reconstruct the variable subcell_u_times_projected_det_jac
onto the DG grid dg_mesh
.
In general we wish that the reconstruction operator is the pseudoinverse of the projection operator. On curved meshes this means we either need to compute a (timedependent) reconstruction and projection matrix on each DG element, or we expand the determinant of the Jacobian on the basis, accepting the aliasing errors from that. We accept the aliasing errors in favor of the significantly reduced computational overhead. This means that the projection and reconstruction operators are only inverses of each other if both operate on \(u J\) where \(u\) is the variable being projected and \(J\) is the determinant of the Jacobian. That is, the matrices are guaranteed to satisfy \(\mathcal{R}(\mathcal{P}(u J))=u J\). If the mesh is regular Cartesian, then this isn't an issue. Furthermore, if we reconstruct \(uJ/\mathcal{P}(J)\) we again recover the exact DG solution. Doing the latter has the advantage that, in general, we are ideally projecting to the subcells much more often than reconstructing from them (a statement that we would rather use DG more than the subcells).
void evolution::dg::subcell::fd::reconstruct  (  const gsl::not_null< Variables< DgTagList > * >  dg_u, 
const Variables< SubcellTagList > &  subcell_u,  
const Mesh< Dim > &  dg_mesh,  
const Index< Dim > &  subcell_extents,  
const ReconstructionMethod  reconstruction_method  
) 
reconstruct the variable subcell_u_times_projected_det_jac
onto the DG grid dg_mesh
.
In general we wish that the reconstruction operator is the pseudoinverse of the projection operator. On curved meshes this means we either need to compute a (timedependent) reconstruction and projection matrix on each DG element, or we expand the determinant of the Jacobian on the basis, accepting the aliasing errors from that. We accept the aliasing errors in favor of the significantly reduced computational overhead. This means that the projection and reconstruction operators are only inverses of each other if both operate on \(u J\) where \(u\) is the variable being projected and \(J\) is the determinant of the Jacobian. That is, the matrices are guaranteed to satisfy \(\mathcal{R}(\mathcal{P}(u J))=u J\). If the mesh is regular Cartesian, then this isn't an issue. Furthermore, if we reconstruct \(uJ/\mathcal{P}(J)\) we again recover the exact DG solution. Doing the latter has the advantage that, in general, we are ideally projecting to the subcells much more often than reconstructing from them (a statement that we would rather use DG more than the subcells).
Variables< TagList > evolution::dg::subcell::fd::reconstruct  (  const Variables< TagList > &  subcell_u, 
const Mesh< Dim > &  dg_mesh,  
const Index< Dim > &  subcell_extents,  
const ReconstructionMethod  reconstruction_method  
) 
reconstruct the variable subcell_u_times_projected_det_jac
onto the DG grid dg_mesh
.
In general we wish that the reconstruction operator is the pseudoinverse of the projection operator. On curved meshes this means we either need to compute a (timedependent) reconstruction and projection matrix on each DG element, or we expand the determinant of the Jacobian on the basis, accepting the aliasing errors from that. We accept the aliasing errors in favor of the significantly reduced computational overhead. This means that the projection and reconstruction operators are only inverses of each other if both operate on \(u J\) where \(u\) is the variable being projected and \(J\) is the determinant of the Jacobian. That is, the matrices are guaranteed to satisfy \(\mathcal{R}(\mathcal{P}(u J))=u J\). If the mesh is regular Cartesian, then this isn't an issue. Furthermore, if we reconstruct \(uJ/\mathcal{P}(J)\) we again recover the exact DG solution. Doing the latter has the advantage that, in general, we are ideally projecting to the subcells much more often than reconstructing from them (a statement that we would rather use DG more than the subcells).
void evolution::dg::subcell::fd::reconstruct  (  gsl::not_null< DataVector * >  dg_u, 
const DataVector &  subcell_u_times_projected_det_jac,  
const Mesh< Dim > &  dg_mesh,  
const Index< Dim > &  subcell_extents,  
ReconstructionMethod  reconstruction_method  
) 
reconstruct the variable subcell_u_times_projected_det_jac
onto the DG grid dg_mesh
.
In general we wish that the reconstruction operator is the pseudoinverse of the projection operator. On curved meshes this means we either need to compute a (timedependent) reconstruction and projection matrix on each DG element, or we expand the determinant of the Jacobian on the basis, accepting the aliasing errors from that. We accept the aliasing errors in favor of the significantly reduced computational overhead. This means that the projection and reconstruction operators are only inverses of each other if both operate on \(u J\) where \(u\) is the variable being projected and \(J\) is the determinant of the Jacobian. That is, the matrices are guaranteed to satisfy \(\mathcal{R}(\mathcal{P}(u J))=u J\). If the mesh is regular Cartesian, then this isn't an issue. Furthermore, if we reconstruct \(uJ/\mathcal{P}(J)\) we again recover the exact DG solution. Doing the latter has the advantage that, in general, we are ideally projecting to the subcells much more often than reconstructing from them (a statement that we would rather use DG more than the subcells).
const Matrix & evolution::dg::subcell::fd::reconstruction_matrix  (  const Mesh< Dim > &  dg_mesh, 
const Index< Dim > &  subcell_extents  
) 
Computes the matrix needed for reconstructing the DG solution from the subcell solution.
Reconstructing the DG solution from the FD solution is a bit more involved than projecting the DG solution to the FD subcells. Denoting the projection operator by \(\mathcal{P}\) and the reconstruction operator by \(\mathcal{R}\), we desire the property
\begin{align*} \mathcal{R}(\mathcal{P}(u_{\breve{\imath}} J_{\breve{\imath}}))=u_{\breve{\imath}} J_{\breve{\imath}}, \end{align*}
where \(\breve{\imath}\) denotes a grid point on the DG grid, \(u\) is the solution on the DG grid, and \(J\) is the determinant of the Jacobian on the DG grid. We also require that the integral of the conserved variables over the subcells is equal to the integral over the DG element. That is,
\begin{align*} \int_{\Omega}u \,d^3x =\int_{\Omega} \underline{u} \,d^3x \Longrightarrow \int_{\Omega}u J \,d^3\xi=\int_{\Omega} \underline{u} J \,d^3\xi, \end{align*}
where \(\underline{u}\) is the solution on the subcells. Because the number of subcell points is larger than the number of DG points, we need to solve a constrained linear least squares problem to reconstruct the DG solution from the subcells.
The final reconstruction matrix is given by
\begin{align*} R_{\breve{\jmath}\underline{i}} &=\left\{(2 \mathcal{P}\otimes\mathcal{P})^{1}2\mathcal{P}  (2 \mathcal{P}\otimes\mathcal{P})^{1}\vec{w}\left[\mathbf{w}(2 \mathcal{P}\otimes\mathcal{P})^{1}\vec{w}\right]^{1}\mathbf{w}(2 \mathcal{P}\otimes\mathcal{P})^{1}2\mathcal{P} + (2 \mathcal{P}\otimes\mathcal{P})^{1}\vec{w}\left[\mathbf{w}(2 \mathcal{P}\otimes\mathcal{P})^{1}\vec{w}\right]^{1}\vec{\underline{w}} \right\}_{\breve{\jmath}\underline{i}}, \end{align*}
where \(\vec{w}\) is the vector of integration weights on the DG element, \(\mathbf{w}=w_{\breve{l}}\delta_{\breve{l}\breve{\jmath}}\), and \(\vec{\underline{w}}\) is the vector of integration weights over the subcells. The integration weights \(\vec{\underline{w}}\) on the subcells are those for 6thorder integration on a uniform mesh.