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math.OC2016★ 53 cited
Polyhedral approximation in mixed-integer convex optimization
Miles Lubin, Emre Yamangil, Russell Bent +1
Generalizing both mixed-integer linear optimization and convex optimization, mixed-integer convex optimization possesses broad modeling power but has seen relatively few advances i…
eess.SY2016
Tightening McCormick Relaxations for Nonlinear Programs via Dynamic Multivariate Partitioning
Harsha Nagarajan, Mowen Lu, Emre Yamangil +1
In this work, we propose a two-stage approach to strengthen piecewise McCormick relaxations for mixed-integer nonlinear programs (MINLP) with multi-linear terms. In the first stage…