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Trixi.jl
Adaptive high-order numerical simulations of hyperbolic PDEs in Julia
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Description
Trixi.jl is a numerical simulation framework for conservation laws written in Julia. A key objective for the framework is to be useful to both scientists and students. Therefore, next to having an extensible design with a fast implementation, Trixi.jl is focused on being easy to use for new or inexperienced users, including the installation and postprocessing procedures.
Contributors
MS
Michael Schlottke-Lakemper
High-Performance Scientific Computing, University of Augsburg, Germany
0000-0002-3195-2536GG
Gregor J. Gassner
Department of Mathematics and Computer Science, University of Cologne, Germany
0000-0002-1752-1158HR
Hendrik Ranocha
Numerical Mathematics, Johannes Gutenberg University Mainz, Germany
0000-0002-3456-2277AW
Andrew R. Winters
Department of Mathematics; Computational Mathematics, Linköping University, Sweden
0000-0002-5902-1522JC
Jesse Chan
Department of Computational and Applied Mathematics, Rice University, US
0000-0003-2077-3636AR
Andrés Rueda-Ramírez
Department of Applied Mathematics in Aerospace Engineering, Polytechnic University of Madrid (UPM), Spain
0000-0001-6557-9162Related projects
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