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SimpleDiffEq.jl-05bca326-078c-5bf0-a5bf-ce7c7982d7fd

Last snapshots taken from https://gitlab.com/UnofficialJuliaMirror/SimpleDiffEq.jl-05bca326-078c-5bf0-a5bf-ce7c7982d7fd on 2019-11-20T19:58:59.979-05:00 by @UnofficialJuliaMirrorBot via Travis job 153.69 , triggered by Travis cron job on branch "master"

https://gitlab.com/UnofficialJuliaMirrorSnapshots/SimpleDiffEq.jl-05bca326-078c-5bf0-a5bf-ce7c7982d7fd

Science Score: 18.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (6.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Last snapshots taken from https://gitlab.com/UnofficialJuliaMirror/SimpleDiffEq.jl-05bca326-078c-5bf0-a5bf-ce7c7982d7fd on 2019-11-20T19:58:59.979-05:00 by @UnofficialJuliaMirrorBot via Travis job 153.69 , triggered by Travis cron job on branch "master"

Basic Info
  • Host: gitlab.com
  • Owner: UnofficialJuliaMirrorSnapshots
  • Default Branch: master
Statistics
  • Stars: 0
  • Forks: 0
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  • Releases: 0
Created about 7 years ago
Metadata Files
Readme License Citation

README.md

SimpleDiffEq.jl

Build Status Coverage Status codecov.io

SimpleDiffEq.jl is a library of basic differential equation solvers. They are the "no-cruft" versions of the solvers which don't and won't ever support any fancy features like events. They are self-contained. This library exists for a few purposes. For one, it can be a nice way to teach "how to write a solver for X" in Julia by having a simple yet optimized version. Secondly, since it's hooked onto the common interface, these algorithms can serve as benchmarks to test the overhead of the full integrators on the simplest case. Lastly, these can be used to test correctness of the more complicated implementations.

Citation (CITATION.bib) 

@article{DifferentialEquations.jl-2017,
 author = {Rackauckas, Christopher and Nie, Qing},
 doi = {10.5334/jors.151},
 journal = {The Journal of Open Source 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}
}