Giovanni Russo

research

∙ 09/02/2023

Multiscale Modeling with Differential Equations

Many physical systems are governed by ordinary or partial differential e...

0 Clarissa Astuto, et al. ∙

research

∙ 07/26/2023

Time multiscale modeling of sorption kinetics I: uniformly accurate schemes for highly oscillatory advection-diffusion equation

In this paper we propose a numerical method to solve a 2D advection-diff...

0 Clarissa Astuto, et al. ∙

research

∙ 06/24/2023

On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems

This paper is concerned with a finite-horizon inverse control problem, w...

0 Emiland Garrabe, et al. ∙

research

∙ 05/17/2023

The mathematical theory of Hughes' model: a survey of results

We provide an overview of the results on Hughes' model for pedestrian mo...

0 Debora Amadori, et al. ∙

research

∙ 01/30/2023

Asymmetry and condition number of an elliptic-parabolic system for biological network formation

We present results of numerical simulations of the tensor-valued ellipti...

0 Clarissa Astuto, et al. ∙

research

∙ 12/02/2022

CT-DQN: Control-Tutored Deep Reinforcement Learning

One of the major challenges in Deep Reinforcement Learning for control i...

0 Francesco De Lellis, et al. ∙

research

∙ 09/17/2022

Comparison of two aspects of a PDE model for biological network formation

We compare the solutions of two systems of partial differential equation...

0 Clarissa Astuto, et al. ∙

research

∙ 08/30/2022

Implicit and semi-implicit well-balanced finite-volume methods for systems of balance laws

The aim of this work is to design implicit and semi-implicit high-order ...

0 Irene Gómez-Bueno, et al. ∙

research

∙ 06/06/2022

A finite-difference ghost-point multigrid method for multi-scale modelling of sorption kinetics of a surfactant past an oscillating bubble

We propose a method for the numerical solution of a multiscale model des...

0 Clarissa Astuto, et al. ∙

research

∙ 04/11/2022

External control of a genetic toggle switch via Reinforcement Learning

We investigate the problem of using a learning-based strategy to stabili...

0 Sara Maria Brancato, et al. ∙

research

∙ 03/13/2022

A smart electric bike for smart cities

This is a Masters Thesis completed at University College Dublin, Ireland...

0 Shaun Sweeney, et al. ∙

research

∙ 02/05/2022

Multiscale Modeling of Sorption Kinetics

In this paper we propose and validate a multiscale model for the descrip...

0 Clarissa Astuto, et al. ∙

research

∙ 02/03/2022

Anomalous sorption kinetics of self-interacting particles by a spherical trap

In this paper we propose a computational framework for the investigation...

0 Antonio Raudino, et al. ∙

research

∙ 12/21/2021

Discrete fully probabilistic design: a tool to design control policies from examples

We present a discretized design that expounds an algorithm recently intr...

0 Enrico Ferrentino, et al. ∙

research

∙ 09/13/2021

A meshfree arbitrary Lagrangian-Eulerian method for the BGK model of the Boltzmann equation with moving boundaries

In this paper we present a novel technique for the simulation of moving ...

0 Sudarshan Tiwari, et al. ∙

research

∙ 08/20/2021

Spectral and norm estimates for matrix sequences arising from a finite difference approximation of elliptic operators

When approximating elliptic problems by using specialized approximation ...

0 Armando Coco, et al. ∙

research

∙ 07/19/2021

A local velocity grid conservative semi-Lagrangian schemes for BGK model

Most numerical schemes proposed for solving BGK models for rarefied gas ...

0 Sebastiano Boscarino, et al. ∙

research

∙ 06/04/2021

High Order Semi-implicit WENO Schemes for All Mach Full Euler System of Gas Dynamics

In this paper, we propose high order semi-implicit schemes for the all M...

0 Sebastiano Boscarino, et al. ∙

research

∙ 02/25/2021

BGK models for inert mixtures: comparison and applications

Consistent BGK models for inert mixtures are compared, first in their ki...

0 Sebastiano Boscarino, et al. ∙

research

∙ 02/20/2021

A novel spectral method for the semi-classical Schrödinger equation based on the Gaussian wave-packet transform

In this article, we develop and analyse a new spectral method to solve t...

0 Borui Miao, et al. ∙

research

∙ 12/12/2020

Tutoring Reinforcement Learning via Feedback Control

We introduce a control-tutored reinforcement learning (CTRL) algorithm. ...

0 Francesco De Lellis, et al. ∙

research

∙ 12/04/2020

Conservative semi-Lagrangian schemes for a general consistent BGK model for inert gas mixtures

In this work, we propose a class of high order semi-Lagrangian scheme fo...

0 Seung-Yeon Cho, et al. ∙

research

∙ 07/26/2020

Conservative semi-Lagrangian schemes for kinetic equations Part I: Reconstruction

In this paper, we propose and analyse a reconstruction technique which e...

0 Seung-Yeon Cho, et al. ∙

research

∙ 07/26/2020

Conservative semi-Lagrangian schemes for kinetic equations Part II: Applications

In this paper, we present a new class of conservative semi-Lagrangian sc...

0 Seung-Yeon Cho, et al. ∙

research

∙ 02/29/2020

Convergence estimates of a semi-Lagrangian scheme for the ellipsoidal BGK model for polyatomic molecules

In this paper, we propose a new semi-Lagrangian scheme for the polyatomi...

0 Sebastiano Boscarino, et al. ∙

research

∙ 01/13/2020

On the synthesis of control policies from noisy example datasets: a probabilistic approach

In this note we consider the problem of synthesizing optimal control pol...

0 Davide Gagliardi, et al. ∙

research

∙ 12/12/2019

Control-Tutored Reinforcement Learning

We introduce a control-tutored reinforcement learning (CTRL) algorithm. ...

0 Francesco De Lellis, et al. ∙

research

∙ 11/26/2019

Control-Tutored Reinforcement Learning: an application to the Herding Problem

In this extended abstract we introduce a novel control-tutored Q-learni...

0 Francesco De Lellis, et al. ∙

research

∙ 11/11/2019

Driving Reinforcement Learning with Models

Over the years, Reinforcement Learning (RL) established itself as a conv...

0 Pietro Ferraro, et al. ∙

Giovanni Russo

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