Author

Andrea Lodi

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Preprint Oct 2026

On the Complexity of Linear Programs with Parametric Constraint Matrices

While sensitivity analysis for linear programs with parametric right- hand side vectors is well established, cases involving parametric constraint matrices remain less explored. To address this gap, we investigate linear programs where the constraint matrix depends linearly on a scalar parameter. Our goal is to compute...

Laurie Boveroux, Margarida Carvalho, Andrea Lodi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Predictive Dual Smoothing for Column Generation

P predictive dual smoothing is introduced, which instead combines the current dual solution with a learned prediction of future duals to steer pricing towards variables that are more useful in subsequent iterations.

Senne Berden, Noah Schutte, Andrea Lodi et al. · 0 citations

Preprint Sep 2026

Learning to Solve Two-Stage Stochastic Unit Commitment Problems with Quality Guarantees

An Input Convex Neural Network architecture is proposed to learn a convex surrogate of the second-stage value function, enabling fast first-stage optimization while preserving convexity by construction.

Andrea Fusco, Andrea Lodi, Lavanya Marla · 0 citations