GloMIQO: Global mixed-integer quadratic optimizer

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Video Representation Learning Using Discriminative Pooling (2018, background): “While, there are efﬁcient approximate solutions for this problem (such as [30]), the solution must be scalable to large number of both high-dimensional features generated by a CNN and low-dimensional local features.”
Mixed-integer nonlinear optimization*† (2013, methodology): “A generalization of this method is at the base of the MINLP solver GloMIQO (Misener and Floudas, 2012b).”
MINLP Solver Software (2011, unknown): “ANTIGONE (Algorithms for coNTinuous/Integer Global Optimization) [46, 47].”
General Heuristics for Nonconvex Quadratically Constrained Quadratic Programming (2017, methodology): “d for nonconvex QPs also exists [CB12]. Existing solvers. There are a number of oﬀ-the-shelf software packages that can handle various subclasses of QCQP. We mention some of the solvers here: GloMIQO [MF13], BARON [Sah14], Ipopt [WLMK09], Couenne [IBM13], and others provide global methods for (mixed”
ANTIGONE: Algorithms for coNTinuous / Integer Global Optimization of Nonlinear Equations (2014, methodology): “…interval arithmetic on d 2 f / dx 2 to determine regions of convexity/concavity: After transforming the initial user-deﬁned MINLP to an equivalent MINLP that exclusively uses the terms in Table 1, ANTIGONE performs all of the GloMIQO [103,105,106] and the MISO framework [104] reformulations.”