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MINDS Seminar on Scientific ComputingㅣSolving PDEs with DUNE and DUNE-FEM

기간 : 2023-04-11 ~ 2023-04-11
시간 : 17:00 ~ 18:00
개요
MINDS Seminar on Scientific ComputingㅣSolving PDEs with DUNE and DUNE-FEM
분야Field
날짜Date 2023-04-11 ~ 2023-04-11 시간Time 17:00 ~ 18:00
장소Place 초청자Host
연사Speaker Robert Klöfkorn 소속Affiliation Lund University
TOPIC MINDS Seminar on Scientific ComputingㅣSolving PDEs with DUNE and DUNE-FEM
소개 및 안내사항Content

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.

 

https://us06web.zoom.us/j/6888961076?pwd=ejYxN05jNmhUa25PU2JzSUJvQ1haQT09

ID : 688 896 1076 / PW : 54321

 

 

학회명Field MINDS Seminar on Scientific ComputingㅣSolving PDEs with DUNE and DUNE-FEM
날짜Date 2023-04-11 ~ 2023-04-11 시간Time 17:00 ~ 18:00
장소Place 초청자Host
소개 및 안내사항Content

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.

 

https://us06web.zoom.us/j/6888961076?pwd=ejYxN05jNmhUa25PU2JzSUJvQ1haQT09

ID : 688 896 1076 / PW : 54321

 

 

성명Field MINDS Seminar on Scientific ComputingㅣSolving PDEs with DUNE and DUNE-FEM
날짜Date 2023-04-11 ~ 2023-04-11 시간Time 17:00 ~ 18:00
소속Affiliation Lund University 초청자Host
소개 및 안내사항Content

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.

 

https://us06web.zoom.us/j/6888961076?pwd=ejYxN05jNmhUa25PU2JzSUJvQ1haQT09

ID : 688 896 1076 / PW : 54321

 

 

성명Field MINDS Seminar on Scientific ComputingㅣSolving PDEs with DUNE and DUNE-FEM
날짜Date 2023-04-11 ~ 2023-04-11 시간Time 17:00 ~ 18:00
호실Host 인원수Affiliation Robert Klöfkorn
사용목적Affiliation 신청방식Host Lund University
소개 및 안내사항Content

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.

 

https://us06web.zoom.us/j/6888961076?pwd=ejYxN05jNmhUa25PU2JzSUJvQ1haQT09

ID : 688 896 1076 / PW : 54321

 

 

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