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Presenters-0696 • CSDMS: Community Surface Dynamics Modeling System. Explore Earth's surface with community software

Presenters-0696

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CSDMS 2025 Webinars


Solving PDEs with DUNE-FEM


Registration link: https://cuboulder.zoom.us/meeting/register/-khP7nQgR7SGhmMGc0EffA

Robert Klöfkorn and Andreas Dedner

Lund University Warwick University, United States
robert.klofkorn@math.lu.se


Abstract
For about two decades the Distributed and Unified Numerics Environment (DUNE) has been an active part in the scientific development of computational software and technology and it's C++ routines are the basis for several other well established open source projects, for example, DuMux. Although the C++ interfaces of DUNE are highly flexible and customizable, a solid knowledge of C++ is necessary to make use of this powerful tool. In this talk we give an overview on recent development towards a Python interface for DUNE and in particular DUNE-FEM, a module which provides highly efficient implementations of hp-adaptive Discontinuous Galerkin (DG) methods for solving a wide range of nonlinear partial differential equations. Providing easier user interfaces based on Python and the Unified Form Language (UFL) opens DUNE-FEM to a broader audience, for example, Bachelor and Master students. This talk will also briefly discuss how Python and DUNE are embedded in teaching of Scientific Computing courses at Lund University and Warwick University.

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Of interest for:
  • Terrestrial Working Group
  • Coastal Working Group
  • Marine Working Group
  • Education and Knowledge Transfer (EKT) Working Group
  • Cyberinformatics and Numerics Working Group
  • Hydrology Focus Research Group
  • Chesapeake Focus Research Group
  • Critical Zone Focus Research Group
  • Human Dimensions Focus Research Group
  • Geodynamics Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative
  • Continental Margin Initiative
  • Artificial Intelligence & Machine Learning Initiative
  • Modeling Platform Interoperability Initiative
  • River Network Modeling Initiative