3 papers
math.OC2026
Discrete eigenvalue optimization from entropic smoothing and first-order methods
Deborah Hendrych, Mathieu Besançon, Sebastian Pokutta
We study the maximization of the minimum eigenvalue under combinatorial and integrality constraints. We propose a new approach based on branch-and-bound combines entropic smoothing…
math.OC2025
Mixed-Integer Optimization for Loopless Flux Distributions in Metabolic Networks
Hannah Troppens, Mathieu Besançon, St. Elmo Wilken +1
Constraint-based metabolic models can be used to investigate the intracellular physiology of microorganisms. These models couple genes to reactions, and typically seek to predict m…
math.OC2025
Secant Line Search for Frank-Wolfe Algorithms
Deborah Hendrych, Mathieu Besançon, David Martínez-Rubio +1
We present a new step-size strategy based on the secant method for Frank-Wolfe algorithms. This strategy, which requires mild assumptions about the function under consideration, ca…