collaborators

6 papers

math.OC2026

Bounding extreme events in dynamical systems over an infinite time horizon

Karol\'ına Sehnalová, Milan Korda

This work addresses the computation of extreme values of observables along trajectories of dynamical systems over an \ks{infinite time horizon}. The setting is intrinsically global…

math.OC2026

Concentration of measure-valued solutions for semilinear parabolic equations

Charlie Lebarbé, Émilien Flayac, Michel Fournié +2

The moment-sum-of-squares hierarchy provides a powerful framework for solving non-convex optimal control problems by constructing a sequence of convex semidefinite relaxations. How…

math.OC2026

Composition and tensor train structure in polynomial optimization

Llorenç Balada Gaggioli, Didier Henrion, Milan Korda

We study polynomial optimization problems whose objective has a composition or tensor train structure. These polynomials can be evaluated as a sequence of maps, giving rise to inte…

math.OC2026

Semidefinite relaxations for nonlinear elasticity with energies convex in the Cauchy-Green strain tensor

Didier Henrion, Milan Korda, Martin Kružík +2

In nonlinear elasticity, finding the deformation of a material which minimizes a given stored energy density is a challenging calculus of variations problem which may fail to have…

math.OC2025

Sufficient conditions for the absence of relaxation gaps in state-constrained optimal control

Nicolas Augier, Milan Korda, Rodolfo Rios-Zertuche

This work presents new sufficient conditions for the absence of a gap corresponding to Young measure and occupation measure relaxations for constrained optimal control problems. Un…

math.OC2025

Young measure relaxation gaps for controllable systems with smooth state constraints

Nicolas Augier, Milan Korda, Rodolfo Rios-Zertuche

In this article, we tackle the problem of the existence of a gap corresponding to Young measure relaxations for state-constrained optimal control problems. We provide a counterexam…