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math.OC2026
Fused ultrametric Gromov-Wasserstein for Scenario Tree generation in Multistage Stochastic Programming
Antonio Candelieri, Iman Seyedi, Francesco Archetti
Multistage Stochastic Programming requires scenario trees that accurately approximate the unknown underlying uncertainty process without violating the non-anticipativity constraint…
math.OC2025★ 1 cited
Gromov-Wasserstein and optimal transport: from assignment problems to probabilistic numeric
Iman Seyedi, Antonio Candelieri, Enza Messina +1
The assignment problem, a cornerstone of operations research, seeks an optimal one-to-one mapping between agents and tasks to minimize total cost. This work traces its evolution fr…