Uno: a composable framework for nonlinearly constrained optimization

C++ AMPL C Fortran Submitted 20 February 2026Published 14 July 2026
Review

Editor: @drvinceknight (all papers)
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Authors

Charlie Vanaret (0000-0002-1131-7631), Alexis Montoison (0000-0002-3403-5450)

Citation

Vanaret et al., (2026). Uno: a composable framework for nonlinearly constrained optimization. Journal of Open Source Software, 11(123), 10229, https://doi.org/10.21105/joss.10229

@article{Vanaret2026, doi = {10.21105/joss.10229}, url = {https://doi.org/10.21105/joss.10229}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {123}, pages = {10229}, author = {Vanaret, Charlie and Montoison, Alexis}, title = {Uno: a composable framework for nonlinearly constrained optimization}, journal = {Journal of Open Source Software} }
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nonlinear programming constrained optimization sequential quadratic programming interior-point methods Lagrange-Newton methods optimization frameworks scientific computing Julia Python

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ISSN 2475-9066