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https://github.com/carlosmunozmoncayo/abcs-piston

Reproducibility repository for the paper "Efficient absorbing boundary conditions for conservation laws: Application to the piston problem of gas dynamics"

https://github.com/carlosmunozmoncayo/abcs-piston

Science Score: 26.0%

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Scientific vocabulary similarity
    Low similarity (4.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Reproducibility repository for the paper "Efficient absorbing boundary conditions for conservation laws: Application to the piston problem of gas dynamics"

Basic Info
  • Host: GitHub
  • Owner: carlosmunozmoncayo
  • License: bsd-2-clause
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 273 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created about 2 years ago · Last pushed 10 months ago
Metadata Files
Readme License

README.md

Efficient absorbing boundary conditions for conservation laws: Application to the piston problem of gas dynamics

Reproducibility repository for the paper Efficient absorbing boundary conditions for conservation laws: Application to the piston problem of gas dynamics by Carlos Muñoz-Moncayo image image

Dependencies

  • python (v3.8.9)
  • numpy (v1.23.3)
  • matplotlib (v3.6.3)
  • f2py (v1.22.3)
  • A Fortran compiler (GNU Fortran compiler v11.2.0)
  • Clawpack (v5.9.2)

The Jupyter Notebooks contain descriptions of their uses. Before running them, the Riemann solvers and the code for the NDO ABC must be compiled with f2py. For this, it suffices to run the bash scripts compile.sh in the corresponding directories.

Owner

  • Name: Carlos Muñoz
  • Login: carlosmunozmoncayo
  • Kind: user
  • Company: King Abdullah University of Science and Technology

PhD student of Applied Mathematics and Computational Sciences at KAUST

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