Data

Tools

Indexes

Applications

Experiments

Open Source Science

expm

Trying to improve performance on Matrix Exponentials in Python

https://github.com/john-science/expm

Science Score: 13.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.0%) to scientific vocabulary

Keywords

expm matricies matrix-exponentials python
Last synced: 6 months ago · JSON representation

Repository

Trying to improve performance on Matrix Exponentials in Python

Basic Info
  • Host: GitHub
  • Owner: john-science
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 55.7 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Topics
expm matricies matrix-exponentials python
Created almost 6 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

expm

Build Status codecov

Improving the performance of Matrix Exponentials in Python

This project exists purely out of necessity. The 'truth benchmark' I will use for all testing here will be the SciPy implementation of matrix exponentials (scipy.linalg.expm).

I would like to point out that the fastest implementation I have found in preparation for this project was from rngantner on GitHub.

The first step in trying to make performant code is to set strict bounds on the problem you are willing to solve. So, the restrictions I will put on my implentation of expm will be:

  • The code must be callable from Python v3.5 to v3.7.
  • The performance testing will be done on Python v3.6.
  • The matrix will be real-valued.
  • The performance will only be tested against 2D arrays.
  • The performance will not be tested on matricies of size < 10x10.
  • The performance will not be tested on matricies of size > 100x100.

Owner

  • Name: John Stilley
  • Login: john-science
  • Kind: user
  • Location: WA

Excited about the places where science and software meet. Currently working in nuclear reactor design. Eternal student.

GitHub Events

Total
Last Year

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 62
  • Total Committers: 2
  • Avg Commits per committer: 31.0
  • Development Distribution Score (DDS): 0.242
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
theJollySin j****e@p****m 47
John Stilley 1****n 15

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 2
  • Total pull requests: 0
  • Average time to close issues: 4 days
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 0.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • john-science (2)
Pull Request Authors
Top Labels
Issue Labels
enhancement (2)
Pull Request Labels

Dependencies

requirements.txt pypi
  • cython >=0.27.0,<=0.29.16
  • numpy >=1.13.1,<=1.18.4
requirements_dev.txt pypi
  • scipy ==1.1.0 development
setup.py pypi
  • cython >=0.27.0,<=0.29.16
  • numpy >=1.13.1,<=1.18.4