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exponentialutilities.jl

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.

https://github.com/sciml/exponentialutilities.jl

Science Score: 54.0%

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
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    4 of 36 committers (11.1%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.7%) to scientific vocabulary

Keywords

differential-equations expmv expokit exponential gpu high-performance julia kiops krylov krylov-methods krylov-subspace-methods matrix-exponential matrix-exponentials scientific-machine-learning sciml

Keywords from Contributors

ode primitives julialang interface composibility base arrays data-structures bridge sobol-method
Last synced: 6 months ago · JSON representation ·

Repository

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.

Basic Info
Statistics
  • Stars: 100
  • Watchers: 8
  • Forks: 32
  • Open Issues: 29
  • Releases: 40
Topics
differential-equations expmv expokit exponential gpu high-performance julia kiops krylov krylov-methods krylov-subspace-methods matrix-exponential matrix-exponentials scientific-machine-learning sciml
Created over 7 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

ExponentialUtilities

Join the chat at https://julialang.zulipchat.com #sciml-bridged Global Docs

codecov Build Status Build status

ColPrac: Contributor's Guide on Collaborative Practices for Community Packages SciML Code Style

ExponentialUtilities is a package of utility functions for matrix functions of exponential type, including functionality for the matrix exponential and phi-functions. These methods are more numerically stable, generic (thus support a wider range of number types), and faster than the matrix exponentiation tools in Julia's Base. The tools are used by the exponential integrators in OrdinaryDiffEq. The package has no external dependencies, so it can also be used independently.

Tutorials and Documentation

For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation, which contains the unreleased features.

Example

```julia using ExponentialUtilities

A = rand(2, 2) exponential!(A)

v = rand(2); t = rand(); expv(t, A, v) ```

Owner

  • Name: SciML Open Source Scientific Machine Learning
  • Login: SciML
  • Kind: organization
  • Email: contact@chrisrackauckas.com

Open source software for scientific machine learning

Citation (CITATION.bib) 

@article{DifferentialEquations.jl-2017,
 author = {Rackauckas, Christopher and Nie, Qing},
 doi = {10.5334/jors.151},
 journal = {The Journal of Open Research Software},
 keywords = {Applied Mathematics},
 note = {Exported from https://app.dimensions.ai on 2019/05/05},
 number = {1},
 pages = {},
 title = {DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia},
 url = {https://app.dimensions.ai/details/publication/pub.1085583166 and http://openresearchsoftware.metajnl.com/articles/10.5334/jors.151/galley/245/download/},
 volume = {5},
 year = {2017}
}

GitHub Events

Total
  • Create event: 5
  • Release event: 1
  • Issues event: 3
  • Watch event: 7
  • Delete event: 6
  • Issue comment event: 13
  • Push event: 31
  • Pull request review comment event: 7
  • Pull request review event: 9
  • Pull request event: 21
  • Fork event: 3
Last Year
  • Create event: 5
  • Release event: 1
  • Issues event: 3
  • Watch event: 7
  • Delete event: 6
  • Issue comment event: 13
  • Push event: 31
  • Pull request review comment event: 7
  • Pull request review event: 9
  • Pull request event: 21
  • Fork event: 3

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 392
  • Total Committers: 36
  • Avg Commits per committer: 10.889
  • Development Distribution Score (DDS): 0.686
Past Year
  • Commits: 41
  • Committers: 10
  • Avg Commits per committer: 4.1
  • Development Distribution Score (DDS): 0.732
Top Committers
Name Email Commits
Chris Rackauckas a****s@c****m 123
Elias Jarlebring j****g@g****m 59
Yingbo Ma m****5@g****m 31
Xingjian Guo x****3@n****u 25
Arno Strouwen a****n@t****e 25
Stefanos Carlström s****m@g****m 19
dependabot[bot] 4****] 12
Moritz Carmesin m****n@u****e 11
Roger-luo h****r@q****m 9
chriselrod e****c@g****m 9
Mason Protter m****r@i****m 9
CompatHelper Julia c****y@j****g 8
Anant Thazhemadam a****m@g****m 7
Arne Bouillon a****n@k****e 6
GiggleLiu c****9@g****m 5
daviehh 2****h 4
Alberto Mercurio a****6@g****m 3
Andreas Noack a****s@n****k 3
Chiyoung Ahn c****n@a****a 2
Chris de Graaf me@c****v 2
Viral B. Shah V****h 2
Krishna Bhogaonker c****q@g****m 2
david d****d@l****t 2
Sam Buercklin s****m@m****m 2
oscarddssmith o****h@j****m 1
github-actions[bot] 4****] 1
Tim Holy t****y@g****m 1
Steve Kelly k****a@g****m 1
Marcelo Forets m****s@g****m 1
Julia TagBot 5****t 1
and 6 more...
Committer Domains (Top 20 + Academic)
nyulangone.org: 1 aapelivuorinen.com: 1 simons-rock.edu: 1 ranocha.de: 1 juliacomputing.com: 1 metalenz.com: 1 cdg.dev: 1 alumni.ubc.ca: 1 noack.dk: 1 kuleuven.be: 1 julialang.org: 1 qq.com: 1 uni-ulm.de: 1 telenet.be: 1 nyu.edu: 1 chrisrackauckas.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 44
  • Total pull requests: 120
  • Average time to close issues: 2 months
  • Average time to close pull requests: 13 days
  • Total issue authors: 33
  • Total pull request authors: 33
  • Average comments per issue: 4.41
  • Average comments per pull request: 0.87
  • Merged pull requests: 102
  • Bot issues: 0
  • Bot pull requests: 24
Past Year
  • Issues: 3
  • Pull requests: 11
  • Average time to close issues: N/A
  • Average time to close pull requests: 9 days
  • Issue authors: 3
  • Pull request authors: 7
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.27
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 2
View more stats
Top Authors
Issue Authors
  • andreasnoack (4)
  • ChrisRackauckas (3)
  • jarlebring (3)
  • draftman9 (2)
  • ArnoStrouwen (2)
  • howsiyu (2)
  • GiggleLiu (2)
  • nathanaelbosch (1)
  • mcarmesin (1)
  • ttolppanen (1)
  • sjkelly (1)
  • arthur-bizzi (1)
  • alblaz (1)
  • ArneBouillon (1)
  • ytdHuang (1)
Pull Request Authors
  • ArnoStrouwen (29)
  • ChrisRackauckas (23)
  • dependabot[bot] (16)
  • github-actions[bot] (13)
  • thazhemadam (6)
  • chriselrod (5)
  • daviehh (5)
  • andreasnoack (5)
  • jarlebring (4)
  • mcarmesin (3)
  • 00krishna (2)
  • christopher-dG (2)
  • DanielVandH (2)
  • cvsvensson (2)
  • oscardssmith (2)
Top Labels
Issue Labels
bug (6) good first issue (2) question (1)
Pull Request Labels
dependencies (16)

Dependencies

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