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Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

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MINDS SEMINAR

MINDS Seminar Series | Robert Klöfkorn (Lund University) - Solving PDEs with DUNE and DUNE-FEM

MINDS SEMINAR
period : 2023-04-11 ~ 2023-04-11
time : 17:00:00 ~ 18:00:00
개최 장소 : Math Bldg 213 & Online streaming (Zoom)
Topic : Solving PDEs with DUNE and DUNE-FEM
개요
Date 2023-04-11 ~ 2023-04-11 Time 17:00:00 ~ 18:00:00
Speaker Robert Klöfkorn Affiliation Lund University
Place Math Bldg 213 & Online streaming (Zoom) Streaming link ID : 688 896 1076 / PW : 54321
Topic Solving PDEs with DUNE and DUNE-FEM
Contents For about two decades the Distributed and Unified Numerics Environment (DUNE:https://dune-project.org) 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 (https://dumux.org) or the Open Porous Media Initiative (https://opm-project.org).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 non linear partial differential equations, for example, atmospheric flow or two-phase flow in porous media.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 Numerical Analysis courses at Lund University.
MinDS MinDS · 2023-03-06 16:19 · Views 500

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