3 papers
math.OC2025
Improved algorithms and novel applications of the FrankWolfe.jl library
Mathieu Besançon, Sébastien Designolle, Jannis Halbey +6
Frank-Wolfe (FW) algorithms have emerged as an essential class of methods for constrained optimization, especially on large-scale problems. In this paper, we summarize the algorith…
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.OC2024
Convex mixed-integer optimization with Frank-Wolfe methods
Deborah Hendrych, Hannah Troppens, Mathieu Besançon +1
Mixed-integer nonlinear optimization encompasses a broad class of problems that present both theoretical and computational challenges. We propose a new type of method to solve thes…