geometricintegratorsdiffeq.jl

Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)

https://github.com/sciml/geometricintegratorsdiffeq.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
    2 of 12 committers (16.7%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary

Keywords

differential-equations geometric-algorithms geometricintegrators scientific-machine-learning sciml

Keywords from Contributors

data-structures julialang ode efast global-sensitivity-analysis gsa morris-method ordinary-differential-equations sensitivity-analysis sobol-method
Last synced: 6 months ago · JSON representation ·

Repository

Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)

Basic Info
  • Host: GitHub
  • Owner: SciML
  • License: other
  • Language: Julia
  • Default Branch: master
  • Homepage:
  • Size: 86.9 KB
Statistics
  • Stars: 8
  • Watchers: 2
  • Forks: 12
  • Open Issues: 5
  • Releases: 3
Topics
differential-equations geometric-algorithms geometricintegrators scientific-machine-learning sciml
Created over 8 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

GeometricIntegratorsDiffEq.jl

Build Status Coverage Status codecov.io

This package contains bindings for GeometricIntegrators.jl to allow it to be used with the JuliaDiffEq common interface. For more information on using the solvers from this package, see the DifferentialEquations.jl documentation.

Common API Usage

This library adds the common interface to GeometricIntegrators.jl's solvers. See the DifferentialEquations.jl documentation for details on the interface. Following the Lorenz example from the ODE tutorial, we can solve this using GIEuler via the following:

julia using GeometricIntegratorsDiffEq function lorenz(du,u,p,t) du[1] = 10.0(u[2]-u[1]) du[2] = u[1]*(28.0-u[3]) - u[2] du[3] = u[1]*u[2] - (8/3)*u[3] end u0 = [1.0;0.0;0.0] tspan = (0.0,100.0) prob = ODEProblem(lorenz,u0,tspan) sol = solve(prob,GIEuler(),dt=0.1) using Plots; plot(sol,vars=(1,2,3))

The options available in solve are documented at the common solver options page. The available methods are documented at the ODE solvers page.

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
  • Delete event: 3
  • Issue comment event: 4
  • Push event: 3
  • Pull request event: 9
  • Fork event: 1
  • Create event: 3
Last Year
  • Delete event: 3
  • Issue comment event: 4
  • Push event: 3
  • Pull request event: 9
  • Fork event: 1
  • Create event: 3

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 88
  • Total Committers: 12
  • Avg Commits per committer: 7.333
  • Development Distribution Score (DDS): 0.216
Past Year
  • Commits: 4
  • Committers: 1
  • Avg Commits per committer: 4.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Christopher Rackauckas a****s@c****m 69
Anant Thazhemadam a****m@g****m 4
dependabot[bot] 4****] 3
Michael Kraus m****s@i****e 2
Chris de Graaf me@c****v 2
Hendrik Ranocha m****l@r****e 2
freemin7 2****7 1
Julia TagBot 5****t 1
David Widmann d****n 1
Anshul Singhvi a****7@s****u 1
Pepijn de Vos p****s@j****m 1
CompatHelper Julia c****y@j****g 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 7
  • Total pull requests: 28
  • Average time to close issues: 2 months
  • Average time to close pull requests: 17 days
  • Total issue authors: 5
  • Total pull request authors: 12
  • Average comments per issue: 7.29
  • Average comments per pull request: 0.39
  • Merged pull requests: 20
  • Bot issues: 0
  • Bot pull requests: 10
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 43 minutes
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • ReneM92 (3)
  • ChrisRackauckas (1)
  • finmod (1)
  • michakraus (1)
  • JuliaTagBot (1)
Pull Request Authors
  • ChrisRackauckas (7)
  • github-actions[bot] (6)
  • dependabot[bot] (6)
  • thazhemadam (4)
  • ranocha (3)
  • christopher-dG (2)
  • michakraus (1)
  • devmotion (1)
  • asinghvi17 (1)
  • freemin7 (1)
  • pepijndevos (1)
  • JuliaTagBot (1)
Top Labels
Issue Labels
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dependencies (6) github_actions (1)

Packages

  • Total packages: 1
  • Total downloads:
    • julia 2 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 9
juliahub.com: GeometricIntegratorsDiffEq

Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 2 Total
Rankings
Dependent repos count: 9.9%
Forks count: 16.2%
Average: 26.2%
Dependent packages count: 38.9%
Stargazers count: 39.8%
Last synced: 6 months ago