Extendible and Efficient Python Framework for Solving Evolution Equations with Stabilized Discontinuous Galerkin Method
Andreas Dedner, Robert Kl\"ofkorn

TL;DR
This paper introduces a Python interface for the DUNE-FEM-DG module, making the efficient Discontinuous Galerkin method more accessible for solving various nonlinear PDEs to a broader audience.
Contribution
It provides a user-friendly Python interface for DUNE-FEM-DG, enabling easier application of the DG method without requiring C++ expertise.
Findings
Python interface simplifies usage of DUNE-FEM-DG
Demonstrated for parabolic and hyperbolic PDEs
Enhances accessibility of DG method in Python environment
Abstract
This paper discusses a Python interface for the recently published DUNE-FEM-DG module which provides highly efficient implementations of the Discontinuous Galerkin (DG) method for solving a wide range of non linear partial differential equations (PDE). Although the C++ interfaces of DUNE-FEM-DG are highly flexible and customizable, a solid knowledge of C++ is necessary to make use of this powerful tool. With this work easier user interfaces based on Python and the Unified Form Language are provided to open DUNE-FEM-DG for a broader audience. The Python interfaces are demonstrated for both parabolic and first order hyperbolic PDEs.
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics · Numerical methods for differential equations
