JournalsowrVol. 12, No. 4pp. 2701–2766

Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics

  • Leo Liberti

    Ecole Polytechnique, Palaiseau, France
  • Sebastian Sager

    Otto-von-Guericke-Universität, Magdeburg, Germany
  • Angelika Wiegele

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

The aim of this workshop was fostering the growth of new mathematical ideas arising from mixed-integer nonlinear optimization. In this regard, the workshop has been a resounding success. It has covered a very diverse scientific landscape, including automated proof in computational geometry, the analysis of computational complexity of MINO in fixed and variable dimension, the solution of infinite MINO such as those appearing in mixed-integer optimal control, the theoretical and computational deployment of traditional integer and continuous approaches to achieve new solution algorithms for large-scale MINO, a classification of the most interesting engineering and technology applications of MINO, and more. It has synthesized twenty open questions and challenges which will serve as a roadmap for the years to come.

Cite this article

Leo Liberti, Sebastian Sager, Angelika Wiegele, Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics. Oberwolfach Rep. 12 (2015), no. 4, pp. 2701–2766

DOI 10.4171/OWR/2015/46