The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
JuMP: A Modeling Language for Mathematical Optimization
Open accessAbstract
JuMP is an open-source modeling language that allows users to express a wide range of optimization problems (linear, mixed-integer, quadratic, conic-quadratic, semidefinite, and nonlinear) in a high-level, algebraic syntax. JuMP takes advantage of advanced features of the Julia programming language to offer unique functionality while achieving performance on par with commercial modeling tools for standard tasks. In this work we will provide benchmarks, present the novel aspects of the implementation, and discuss how JuMP can be extended to new problem classes and composed with state-of-the-art tools for visualization and interactivity.
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Cites
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Julia: A Fresh Approach to Numerical Computing
Bezanson, J., Edelman, A., Karpinski, S., & Shah, V. B. (2017) · SIAM Review · doi:10.1137/141000671 · Cited by 5,440
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Pyomo: modeling and solving mathematical programs in Python
Hart, W. E., Watson, J.-P., & Woodruff, D. L. (2011) · Mathematical Programming Computation · doi:10.1007/s12532-011-0026-8 · Cited by 1,201
A Modeling Language for Mathematical Programming
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Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty
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Metadata
- Authors
- Dunning, I., Huchette, J., & Lubin, M.
- Venue
- SIAM Review
- Published
- 2017-01
- Volume
- 59
- Issue
- 2
- Pages
- 295-320
- ISSN
- 0036-1445 (ISSN-L)
- 1095-7200
- OpenAlex
- W1918816242
- Cited by
- 1,250
- References
- 20
- FWCI
- 84.26
- Type
- journal article
- Language
- en
- Open access
- green
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