JournalsowrVol. 20, No. 3pp. 1953–2016

Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics

  • Leo Liberti

    Institut Polytechnique de Paris, Palaiseau Cedex, France

  • Sebastian Sager

    Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany

  • Angelika Wiegele

    Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria
Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics cover
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Abstract

Mixed-integer nonlinear programming (MINLP) is concerned with finding optimal solutions to mathematical formulations of optimization problems combining discrete and nonlinear phenomena. The scientific program was organized around three areas: convex envelopes and relaxation hierarchies, mixed-integer optimal control, and current trends. These topics were addressed with a variety of tutorials, talks, and short research announcements.

Cite this article

Leo Liberti, Sebastian Sager, Angelika Wiegele, Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics. Oberwolfach Rep. 20 (2023), no. 3, pp. 1953–2016

DOI 10.4171/OWR/2023/35