Polyhedral approximation in mixed-integer convex optimization
Generalizing both mixed-integer linear optimization and convex optimization, mixed-integer convex optimization possesses broad modeling power but has seen relatively few advances in general-purpose solvers in recent years. In this paper, we intend to provide a broadly accessible introduction to our...
Main Authors: | Yamangil, Emre, Bent, Russell, Lubin, Miles C, Vielma Centeno, Juan Pablo |
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Other Authors: | Sloan School of Management |
Format: | Article |
Language: | English |
Published: |
Springer-Verlag
2018
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Online Access: | http://hdl.handle.net/1721.1/119247 https://orcid.org/0000-0001-6781-9633 https://orcid.org/0000-0003-4335-7248 |
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