https://github.com/scivision/lcpfct

NRL Flux-corrected Algorithm for Solving Generalized Continuity Equations LCPFCT from Python
https://github.com/scivision/lcpfct

f2py fortran geoscience plasma-physics plasma-turbulence python

Last synced: 20 days ago
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NRL Flux-corrected Algorithm for Solving Generalized Continuity Equations LCPFCT from Python

• Host: GitHub
• URL: https://github.com/scivision/lcpfct
• Owner: scivision
• License: mit
• Created: 2015-03-26T22:52:49.000Z (about 10 years ago)
• Default Branch: main
• Last Pushed: 2021-08-02T05:31:33.000Z (over 3 years ago)
• Last Synced: 2025-04-12T08:12:44.430Z (20 days ago)
• Topics: f2py, fortran, geoscience, plasma-physics, plasma-turbulence, python
• Language: Python
• Homepage: https://www.nrl.navy.mil/lcp/LCPFCT
• Size: 1.85 MB
• Stars: 10
• Watchers: 5
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# LCPFCT

[![image](https://zenodo.org/badge/32956122.svg)](https://zenodo.org/badge/latestdoi/32956122)

[![Actions Status](https://github.com/scivision/LCPFCT/workflows/ci/badge.svg)](https://github.com/scivision/LCPFCT/actions)

NRL Flux-Corrected Transport algorithm for Solving Generalized

Continuity Equations--now in Python with Examples!

![fancy output plot animated](tests/fast2d.gif)

demonstrates use of Fortran code called from Python. In this case, using

Fortran code as a Python module is about 50 times faster than the very

slow writing Fortran output to a text file, and parsing the text in

Python or Matlab.

## Install

For the Python wrapping Fortran:

    pip install -e .

(optional) to use just Fortran alone:

    cmake -B build

    cmake --build build --parallel

## Examples

### 2-D explosion

    ./runfast2d.py

### 1-D shock

    ./runshock.py

## References