Mathieu Besançon, Ralf Borndörfer, Sebastian Pokutta
01.04.2023 – 31.03.2026
We want to investigate mixed-integer optimization with a convex differentiable objective and solution approaches based on error-adaptive convex solvers in branch-and-bound. We will focus on lower bound improvements within the tree and the tradeoff between the lower bound increase and computational costs of strong relaxations.
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