SALUZZI, Luca
SALUZZI, Luca
Dipartimento di Matematica e Informatica
A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control
file con accesso da definire2025 Oster, M.; Saluzzi, L.; Wenzel, T.
A HJB-POD approach for the control of nonlinear PDEs on a tree structure
file con accesso da definire2020 Alla, Alessandro; Saluzzi, Luca
A Multilinear HJB-POD Method for the Optimal Control of PDEs on a Tree Structure
file con accesso da definire2024 Kirsten, Gerhard; Saluzzi, Luca
A tree structure algorithm for optimal control problems with state constraints
file con accesso da definire2020 Alla, A.; Falcone, M.; Saluzzi, L.
An efficient DP algorithm on a tree-structure for finite horizon optimal control problems
file con accesso da definire2019 Alla, A.; Falcone, M.; Saluzzi, L.
Approximation of optimal control problems for the Navier-Stokes equation via multilinear HJB-POD
file con accesso da definire2023 Falcone, M; Kirsten, G; Saluzzi, L
Data-Driven Tensor Train Gradient Cross Approximation for Hamilton–Jacobi–Bellman Equations
file con accesso da definire2023 Dolgov, Sergey; Kalise, Dante; Saluzzi, Luca
Dynamical low-rank approximation strategies for nonlinear feedback control problems
file con accesso da definire2025 Saluzzi, L.; Strazzullo, M.
Error estimates for a tree structure algorithm solving finite horizon control problems
file con accesso da definire2022 Saluzzi, L.; Alla, A.; Falcone, M.
Feedback reconstruction techniques for optimal control problems on a tree structure
file con accesso da definire2022 Alla, A.; Saluzzi, L.
High-order approximation of the finite horizon control problem via a tree structure algorithm
file con accesso da definire2019 Alla, A.; Falcone, M.; Saluzzi, L.
Optimizing semilinear representations for state-dependent Riccati equation-based feedback control
file con accesso da definire2022 Dolgov, S.; Kalise, D.; Saluzzi, L.
Separable Approximations of Optimal Value Functions Under a Decaying Sensitivity Assumption
file con accesso da definire2023 Sperl, Mario; Saluzzi, Luca; Grüne, Lars; Kalise, Dante
State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards’ equation framework
file con accesso da definire2025 Alla, A.; Berardi, M.; Saluzzi, L.