Papers about JuliaOpt packages
- I. Dunning, J. Huchette, and M. Lubin, “JuMP: A modeling language for mathematical optimization”. SIAM Review 59(2), pages 295-320, 2017. [DOI] [arXiv]
- M. Lubin and I. Dunning, “Computing in Operations Research using Julia”. INFORMS Journal on Computing 27(2), pages 238-248, 2015. [DOI] [arXiv]
- M. Udell, K. Mohan, D. Zeng, J. Hong, S. Diamond, and S. Boyd, “Convex Optimization in Julia”. Proceedings of the 1st First Workshop for High Performance Technical Computing in Dynamic Languages, IEEE Press, 2014. [arXiv]
JuliaOpt packages used in courses at
- École Polytechnique Fédérale de Lausanne
- MIT
- Pontifical Catholic University of Rio de Janeiro
- Sapienza Università di Roma
- Stanford University
- Universidad Carlos III de Madrid
- Université catholique de Louvain
- Université de Bretagne Sud
- Université de Liège
- Université de Nantes
- University at Buffalo
- University of Iowa
- University of Southern California
- University of South Florida
- University of Wisconsin, Madison
- Virginia Commonwealth University
Papers using JuliaOpt packages
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T. Gueudré, C. Baldassi, M. Zamparo, M. Weigt and A. Pagnani, “Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis”. Proc. Natl. Acad. Sci. USA 113, 12186–12191 (2016). [DOI] [Code]
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R. Brandt and M. Bengtsson, “Fast-Convergent Distributed Coordinated Precoding for TDD Multicell MIMO Systems”, IEEE Int. Workshop Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP’15), 2015. [PDF] [Code]
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D. Bertsimas and F. de Ruiter, “Duality in Two-stage Adaptive Linear Optimization: Faster Computation and Stronger Bounds”. 2015. [PDF]
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E. Anderes, S. Borgwardt, and J. Miller, “Discrete Wasserstein Barycenters: Optimal Transport for Discrete Data”. 2015. [arXiv]
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S. D. Gupta, J. K. Tobin, and L. Pavel, “Linear Programming Makes Railway Networks Energy-efficient”. 2015. [arXiv]
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T. Rossi, R. Pozzi, and M. Testa, “A preliminary proposal to include capacity constraint in the multi-product EOQ model using hybrid systems and integer linear programming”. 2015. [DOI]
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R. Giordano, T. Broderick, and M. Jordan, “Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes”. 2015. [arXiv]
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J. Gorham and L. Mackey, “Measuring Sample Quality with Stein’s Method”. 2015. [arXiv]
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J. Vielma, I. Dunning, J. Huchette, and M. Lubin, “Extended Formulations in Mixed Integer Conic Quadratic Programming”. 2015. [PDF]
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I. Dunning, V. Gupta, A. King, J. Kung, M. Lubin, and J. Silberholz, “A course on advanced software tools for Operations Research and Analytics”. INFORMS Transactions on Education 15(2), pages 169-179, 2015. [DOI] [PDF]
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J. Huchette, M. Lubin, and C. Petra. “Parallel algebraic modeling for stochastic optimization”. 2014. Proceedings of HPTCDL ‘14. [PDF]
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V. Gupta, “Data-driven models for uncertainty and behavior”. 2014. [PDF]