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dgpy

Python library to prototype discontinuous Galerkin schemes for elliptic partial differential equations.

https://github.com/nilsvu/dgpy

Science Score: 41.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
  • ○
    DOI references
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    Academic publication links
    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (5.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Python library to prototype discontinuous Galerkin schemes for elliptic partial differential equations.

Basic Info
  • Host: GitHub
  • Owner: nilsvu
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 1.89 MB
Statistics
  • Stars: 1
  • Watchers: 0
  • Forks: 1
  • Open Issues: 0
  • Releases: 1
Created about 7 years ago · Last pushed almost 5 years ago
Metadata Files
Readme License Citation

README.md

DOI

dgpy

Python library to solve elliptic partial differential equations with discontinous Galerkin (DG) schemes. The purpose of this library is to prototype elliptic DG schemes for the SpECTRE code. dgpy provides tools to construct rectilinear domains in 1, 2 or 3 dimensions, implement elliptic DG schemes on Legendre-Gauss-Lobatto and Legendre-Gauss grids, solve them with iterative algorithms and visualize the results.

Installation

  1. git clone this repository to your machine.
  2. pip install -e /path/to/repository to install in editable mode, i.e. where changes to the repository are reflected in the pip installation, or omit the -e to install in user mode.

Getting started

Read through the walkthrough notebook to get started:

Owner

  • Name: Nils Vu
  • Login: nilsvu
  • Kind: user
  • Location: Pasadena, California
  • Company: Caltech

Computational physicist in numerical relativity. Also passionate about software development, design, data visualization and teaching.

Citation (CITATION.cff) 

# YAML 1.2
# Metadata for citation of this software according to the CFF format (https://citation-file-format.github.io/)
cff-version: 1.0.3
message: If you use this software, please cite it using these metadata.
title: dgpy
doi: 10.5281/zenodo.5086181
authors:
- given-names: Nils Leif
  family-names: Fischer
  orcid: https://orcid.org/0000-0002-5767-3949
version: '0.1'
date-released: 2021-07-09
repository-code: https://github.com/nilsleiffischer/dgpy
license: mit

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  • Average comments per issue: 0
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  • Merged pull requests: 1
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