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20172025
most citedModel Reduction For Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering

52 citations · 202 across the 18 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

math.OC2021

A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition

Eleonora Donadini, Maria Strazzullo, Marco Tezzele +1

This work recasts time-dependent optimal control problems governed by partial differential equations in a Dynamic Mode Decomposition with control framework. Indeed, since the numer…

cs.LG2021★ 42 cited

An extended physics informed neural network for preliminary analysis of parametric optimal control problems

Nicola Demo, Maria Strazzullo, Gianluigi Rozza

In this work we propose an extension of physics informed supervised learning strategies to parametric partial differential equations. Indeed, even if the latter are indisputably us…

physics.flu-dyn2021★ 1 cited

Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows

Maria Strazzullo, Michele Girfoglio, Francesco Ballarin +2

Numerical stabilization is often used to eliminate (alleviate) the spurious oscillations generally produced by full order models (FOMs) in under-resolved or marginally-resolved sim…

math.NA2021★ 2 cited

A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation

Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza

In this work, we propose to efficiently solve time dependent parametrized optimal control problems governed by parabolic partial differential equations through the certified reduce…

math.NA2021★ 3 cited

A weighted POD-reduction approach for parametrized PDE-constrained Optimal Control Problems with random inputs and applications to environmental sciences

Giuseppe Carere, Maria Strazzullo, Francesco Ballarin +2

Reduced basis approximations of Optimal Control Problems (OCPs) governed by steady partial differential equations (PDEs) with random parametric inputs are analyzed and constructed.…