CADETProcess.processModel.discretization.LRMPDiscretizationDG

class CADETProcess.processModel.discretization.LRMPDiscretizationDG(ncol, par_geom, use_analytic_jacobian, reconstruction, polynomial_degree, polydeg, exact_integration, gs_type, max_krylov, max_restarts, schur_safety)

Discretization parameters of the DG version of the LRMP.

See also

CADETProcess.processModel.LRMPDiscretizationFV

CADETProcess.processModel.LumpedRateModelWithPores

Attributes:

ncolUnsignedInteger, optional

Number of axial column discretization cells. Default is 16.

par_geomSwitch, optional

The geometry of the particles in the model. Valid values are ‘SPHERE’, ‘CYLINDER’, and ‘SLAB’. Default is ‘SPHERE’.

use_analytic_jacobianBool, optional

If True, use analytically computed Jacobian matrix (faster). If False, use Jacobians generated by algorithmic differentiation (slower). Default is True.

reconstructionSwitch, optional

Method for spatial reconstruction. Valid values are ‘WENO’ (Weighted Essentially Non-Oscillatory). Default is ‘WENO’.

polynomial_degreeUnsignedInteger, optional

Degree of the polynomial used for spatial discretization. Default is 3.

polydegUnsignedInteger, optional

Alias for polynomial_degree.

exact_integrationBool, optional

Whether to use exact integration for the spatial discretization. Default is False.

gs_typeBool, optional

Type of Gram-Schmidt orthogonalization. If 0, use classical Gram-Schmidt. If 1, use modified Gram-Schmidt. The default is 1.

max_krylovUnsignedInteger, optional

Size of the Krylov subspace in the iterative linear GMRES solver. If 0, max_krylov = NCOL * NCOMP * NPARTYPE is used. The default is 0.

max_restartsUnsignedInteger, optional

Maximum number of restarts to use for the GMRES method. Default is 10.

schur_safetyUnsignedFloat, optional

Safety factor for the Schur complement solver. Default is 1.0e-8.

Methods

check_required_parameters()

Verify if all required parameters are set.