pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems

Python Fortran C Submitted 15 July 2020Published 24 October 2020
Review

Editor: @poulson (all papers)
Reviewers: @jgoldfar (all reviews), @vissarion (all reviews), @matbesancon (all reviews)

Authors

Neil Wu (0000-0001-8856-9661), Gaetan Kenway, Charles A. Mader, John Jasa, Joaquim R. R. A. Martins

Citation

Wu et al., (2020). pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems. Journal of Open Source Software, 5(54), 2564, https://doi.org/10.21105/joss.02564

@article{Wu2020, doi = {10.21105/joss.02564}, url = {https://doi.org/10.21105/joss.02564}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {54}, pages = {2564}, author = {Neil Wu and Gaetan Kenway and Charles A. Mader and John Jasa and Joaquim R. R. A. Martins}, title = {pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

optimization

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066