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DiffEqSensitivity-jl

A component of the DiffEq ecosystem for sensitivity analysis

https://gitlab.com/juliadiffeq/DiffEqSensitivity-jl

Science Score: 18.0%

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Repository

A component of the DiffEq ecosystem for sensitivity analysis

Basic Info
  • Host: gitlab.com
  • Owner: juliadiffeq
  • Default Branch: master
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Created over 6 years ago
Metadata Files
Readme License Citation

README.md

DiffEqSensitivity.jl

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DiffEqSensitivity.jl is a component package in the SciML Scientific Machine Learning ecosystem. It holds the sensitivity analysis utilities. Users interested in using this functionality should check out DifferentialEquations.jl.

Citation (CITATION.bib) 

@article{rackauckas2020universal,
  title={Universal differential equations for scientific machine learning},
  author={Rackauckas, Christopher and Ma, Yingbo and Martensen, Julius and Warner, Collin and Zubov, Kirill and Supekar, Rohit and Skinner, Dominic and Ramadhan, Ali},
  journal={arXiv preprint arXiv:2001.04385},
  year={2020}
}

@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}
}