2 papers
math.OC2026
Projected Gradient Methods with Momentum
Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi +2
We focus on the optimization problem with smooth, possibly nonconvex objectives and a convex constraint set for which the Euclidean projection operation is practically available. F…
math.OC2026
Nonconvex optimization methods for ground states in disordered continuous-spin models
Ramgopal Agrawal, Lorenzo Ciarpaglini, Pierluigi Mansueto +4
This work explores the global optimization problem of finding lowest-energy configurations in disordered continuous-spin models from statistical physics, with a particular focus on…