JuMP 1.0: recent improvements to a modeling language for mathematical optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software,Theoretical Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12532-023-00239-3.pdf
Reference12 articles.
1. Bezanson, J., Edelman, A., Karpinski, S., Shah, V.B.: Julia: a fresh approach to numerical computing. SIAM Rev. 59(1), 65–98 (2017)
2. Bynum, M.L., Hackebeil, G.A., Hart, W.E., Laird, C.D., Nicholson, B.L., Siirola, J.D., Watson, J.P., Woodruff, D.L.: Pyomo—Optimization Modeling in Python, vol. 67. Springer, Berlin (2021)
3. Coffrin, C., Bent, R., Sundar, K., Ng, Y., Lubin, M.: PowerModels.jl: an open-source framework for exploring power flow formulations. In: 2018 Power Systems Computation Conference (PSCC), pp. 1–8. IEEE (2018)
4. Dias Garcia, J., Bodin, G., Street, A.: BilevelJuMP.jl: Modeling and Solving Bilevel Optimization in Julia. arXiv preprint (2022). https://doi.org/10.48550/arXiv.2205.02307
5. Dowson, O., Kapelevich, L.: SDDP.jl: a julia package for stochastic dual dynamic programming. INFORMS J. Comput. 33(1), 27–33 (2021)
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