Prof. Sven Leyffer, Ph.D.

Many complex scientific and engineering applications can be formulated as optimization problems constrained by partial differential equations (PDEs) with integer decision variables. Examples include the remediation of contaminated sites and the maximization of oil recovery; the design of next generation solar cells; the layout design of wind-farms; the design and control of gas networks; disaster recovery; and topology optimization. Until recently, these grand-callenge problems have been regarded as numerically intractable. We are starting to dispel this wide-held belief, motivated in part by emerging exascale computing resources.

We will present emerging applications of mixed-integer PDE-constrained optimization, review existing approaches to solve these problems, and highlight their computational and mathematical challenges. We introduce a new set of benchmark set for this challenging class of problems, and present some early numerical experience using both mixed-integer nonlinear solvers and heuristic techniques. Our results indicate that this class of challenging problems can be solved.

Datum: 15.10.2015, Raum: G03-106, Zeit: 17:00

Letzte Änderung: 10.04.2018 - Ansprechpartner: Prof. Dr. Volker Kaibel