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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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14 papers · 1 filter

math.NA2025

Data-driven Optimization for the Evolve-Filter-Relax regularization of convection-dominated flows

Anna Ivagnes, Maria Strazzullo, Michele Girfoglio +2

Numerical stabilization techniques are often employed in under-resolved simulations of convection-dominated flows to improve accuracy and mitigate spurious oscillations. Specifical…

math.NA2024

Variational Multiscale Evolve and Filter Strategies for Convection-Dominated Flows

Maria Strazzullo, Francesco Ballarin, Traian Iliescu +1

The evolve-filter (EF) model is a filter-based numerical stabilization for under-resolved convection-dominated flows. EF is a simple, modular, and effective strategy for both full-…

math.NA2023★ 2 cited

New Feedback Control and Adaptive Evolve-Filter-Relax Regularization for the Navier-Stokes Equations in the Convection-Dominated Regime

Maria Strazzullo, Francesco Ballarin, Traian Iliescu +1

We propose, analyze, and investigate numerically a novel feedback control strategy for high Reynolds number flows. For both the continuous and the discrete (finite element) setting…

math.NA2023

Stabilized Weighted Reduced Order Methods for Parametrized Advection-Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs

Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza

In this work, we analyze Parametrized Advection-Dominated distributed Optimal Control Problems with random inputs in a Reduced Order Model (ROM) context. All the simulations are in…

math.NA2023★ 10 cited

A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control

Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza

In this paper we will consider distributed Linear-Quadratic Optimal Control Problems dealing with Advection-Diffusion PDEs for high values of the Péclet number. In this situation,…

math.NA2022★ 5 cited

POD-based reduced order methods for optimal control problems governed by parametric partial differential equation with varying boundary control

Maria Strazzullo, Fabio Vicini

In this work we propose tailored model order reduction for varying boundary optimal control problems governed by parametric partial differential equations. With varying boundary co…

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.…

math.NA2020★ 7 cited

Space-time POD-Galerkin approach for parametric flow control

Francesco Ballarin, Gianluigi Rozza, Maria Strazzullo

In this contribution we propose reduced order methods to fast and reliably solve parametrized optimal control problems governed by time dependent nonlinear partial differential equ…

math.NA2020★ 29 cited

Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction

Federico Pichi, Maria Strazzullo, Francesco Ballarin +1

This work deals with optimal control problems as a strategy to drive bifurcating solution of nonlinear parametrized partial differential equations towards a desired branch. Indeed,…

math.NA2020★ 6 cited

POD-Galerkin Model Order Reduction for Parametrized Nonlinear Time Dependent Optimal Flow Control: an Application to Shallow Water Equations

Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza

In this work we propose reduced order methods as a reliable strategy to efficiently solve parametrized optimal control problems governed by shallow waters equations in a solution t…

math.NA2019★ 17 cited

Reduced order methods for parametrized non-linear and time dependent optimal flow control problems, towards applications in biomedical and environmental sciences

Maria Strazzullo, Zakia Zainib, Francesco Ballarin +1

We introduce reduced order methods as an efficient strategy to solve parametrized non-linear and time dependent optimal flow control problems governed by partial differential equat…

math.NA2019★ 26 cited

POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation

Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza

In this work we recast parametrized time dependent optimal control problems governed by partial differential equations in a saddle point formulation and we propose reduced order me…

math.NA2017★ 52 cited

Model Reduction For Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering

Maria Strazzullo, Francesco Ballarin, Renzo Mosetti +1

We propose reduced order methods as a suitable approach to face parametrized optimal control problems governed by partial differential equations, with applications in en- vironment…