2019/05/20 by Serrano, Felipe, Schwarz, Robert, Gleixner, Ambros
#FOS: Mathematics #Optimization and Control (math.OC)
paper · doi:10.48550/arxiv.1905.08157
Recently, Kronqvist et al.~\citeKronqvistLundellWesterlund2016 rediscovered the supporting hyperplane algorithm of Veinott~\citeVeinott1967 and demonstrated its computational benefits for solving convex mixed-integer nonlinear programs. In this paper we derive the algorithm from a geometric point of view. This enables us to show that the supporting hyperplane algorithm is equivalent to Kelley's cutting plane algorithm~\citeJ.E.Kelley1960 applied to a particular reformulation of the problem. As a result, we extend the applicability of the supporting hyperplane algorithm to convex problems represented by general, not necessarily convex, differentiable functions that satisfy a mild condition.