https://github.com/avik-pal/diffeqbase.jl

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

https://github.com/avik-pal/diffeqbase.jl

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
  • codemeta.json file
  • .zenodo.json file
  • DOI references
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  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

Basic Info
  • Host: GitHub
  • Owner: avik-pal
  • License: other
  • Language: Julia
  • Default Branch: master
  • Homepage:
  • Size: 2.59 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 7
  • Releases: 0
Fork of SciML/DiffEqBase.jl
Created over 5 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

DiffEqBase.jl

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DiffEqBase.jl is a component package in the DiffEq ecosystem. It holds the common types and utility functions which are shared by other solver packages to promote code reuse in the differential equation solver code. Users interested in using this functionality in full should check out DifferentialEquations.jl

The documentation for the interfaces here can be found in DiffEqDocs.jl and DiffEqDevDocs.jl.

Owner

  • Name: Avik Pal
  • Login: avik-pal
  • Kind: user
  • Location: Cambridge, MA
  • Company: Massachusetts Institute of Technology

PhD Student @mit || Prev: BTech CSE IITK

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}
}

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