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Please report any issues via the GitHub issue tracker. All types of issues
are welcome and encouraged; this includes bug reports, documentation typos,
feature requests, etc.
Citing JuMP
If you find JuMP useful in your work, we kindly request that you cite the
following paper (journal, preprint):
@article{Lubin2023,
author = {Miles Lubin and Oscar Dowson and Joaquim {Dias Garcia} and Joey Huchette and Beno{\^i}t Legat and Juan Pablo Vielma},
title = {{JuMP} 1.0: {R}ecent improvements to a modeling language for mathematical optimization},
journal = {Mathematical Programming Computation},
volume = {15},
pages = {581–589},
year = {2023},
doi = {10.1007/s12532-023-00239-3}
}
@article{DunningHuchetteLubin2017,
author = {Iain Dunning and Joey Huchette and Miles Lubin},
title = {{JuMP}: {A} {M}odeling {L}anguage for {M}athematical {O}ptimization},
journal = {SIAM Review},
volume = {59},
number = {2},
pages = {295-320},
year = {2017},
doi = {10.1137/15M1020575},
}
@article{LubinDunningIJOC,
author = {Miles Lubin and Iain Dunning},
title = {{C}omputing in {O}perations {R}esearch {U}sing {J}ulia},
journal = {INFORMS Journal on Computing},
volume = {27},
number = {2},
pages = {238-248},
year = {2015},
doi = {10.1287/ijoc.2014.0623},
}
JuMP is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the
United States. NumFOCUS provides JuMP with fiscal, legal, and administrative
support to help ensure the health and sustainability of the project. Visit
numfocus.org for more information.
Donations to JuMP are managed by NumFOCUS. For donors in the United States,
your gift is tax-deductible to the extent provided by law. As with any donation,
you should consult with your tax adviser about your particular tax situation.
JuMP's largest expense is the annual JuMP-dev workshop. Donations will help us
provide travel support for JuMP-dev attendees and take advantage of other
opportunities that arise to support JuMP development.
About
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)