Lehrinhalte
branch-and-bound, outer approximation, spatial branching, lift-and-project, solution of convex mixed-integer optimization problems, solution of general mixed-integer nonlinear optimization problems

Literature
R. Horst, H. Tuy: Global Optimization: Deterministic Approaches, Springer, 1996.
M. Locatelli, F. Schoen: Global Optimization: Theory, Algorithms, and Applications, MOS-Siam Series on Optimization, 2013

Voraussetzungen
recommended: Nonlinear Optimization or Discrete Optimization

Semester: Inverno 2021/22