2 papers
math.OC2023
Data-driven Distributionally Robust Optimization over Time
Kevin-Martin Aigner, Andreas Bärmann, Kristin Braun +5
Stochastic Optimization (SO) is a classical approach for optimization under uncertainty that typically requires knowledge about the probability distribution of uncertain parameters…
math.OC2020
The Bipartite Boolean Quadric Polytope with Multiple-Choice Constraints
Andreas Bärmann, Alexander Martin, Oskar Schneider
We consider the bipartite boolean quadric polytope (BQP) with multiple-choice constraints and analyse its combinatorial properties. The well-studied BQP is defined as the convex hu…