Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

Julia Submitted 14 August 2021Published 14 January 2022
Review

Editor: @carstenbauer (all papers)
Reviewers: @johnfgibson (all reviews), @simonbyrne (all reviews)

Authors

Hendrik Ranocha (0000-0002-3456-2277), Michael Schlottke-Lakemper (0000-0002-3195-2536), Andrew R. Winters (0000-0002-5902-1522), Erik Faulhaber (0000-0001-9788-5949), Jesse Chan (0000-0003-2077-3636), Gregor J. Gassner (0000-0002-1752-1158)

Citation

Ranocha et al., (2022). Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing. JuliaCon Proceedings, 1(1), 77, https://doi.org/10.21105/jcon.00077

@article{Ranocha2022, doi = {10.21105/jcon.00077}, url = {https://doi.org/10.21105/jcon.00077}, year = {2022}, publisher = {The Open Journal}, volume = {1}, number = {1}, pages = {77}, author = {Hendrik Ranocha and Michael Schlottke-Lakemper and Andrew R. Winters and Erik Faulhaber and Jesse Chan and Gregor J. Gassner}, title = {Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing}, journal = {Proceedings of the JuliaCon Conferences} }
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ISSN 2642-4029