Eleonora Messina

ORCID: 0000-0003-4545-6266
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About
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Research Areas
  • Numerical methods for differential equations
  • Fractional Differential Equations Solutions
  • Matrix Theory and Algorithms
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Differential Equations and Numerical Methods
  • Nonlinear Differential Equations Analysis
  • COVID-19 epidemiological studies
  • Differential Equations and Boundary Problems
  • Evolution and Genetic Dynamics
  • Numerical methods in inverse problems
  • Advanced Numerical Methods in Computational Mathematics
  • Mathematical Biology Tumor Growth
  • Stability and Controllability of Differential Equations
  • Iterative Methods for Nonlinear Equations
  • Model Reduction and Neural Networks
  • Dynamics and Control of Mechanical Systems
  • Fault Detection and Control Systems
  • Machine Learning and ELM
  • Vibration and Dynamic Analysis
  • Electromagnetic Simulation and Numerical Methods
  • Climate Change and Geoengineering
  • Seismic Performance and Analysis
  • Complex Network Analysis Techniques
  • Environmental Philosophy and Ethics
  • Mathematical Control Systems and Analysis

University of Naples Federico II
2015-2024

Istituto Nazionale di Alta Matematica Francesco Severi
2020-2023

Istituto per le Applicazioni del Calcolo Mauro Picone
2021

National Research Council
2021

Centrum Wiskunde & Informatica
1998-1999

We investigate the resolution of parabolic PDEs via Extreme Learning Machine (ELMs) Neural Networks. An Artificial Network (ANN) is an interconnected group nodes -where activation functions act- organized in numbered layers. From a mathematical point view, ANN represents combination that linear if only one hidden layer admitted. In present paper, ELMs setting considered, and this gives single admitted can be trained at modest computational cost as compared to Deep Our approach addresses time...

10.1016/j.amc.2023.128230 article EN cc-by Applied Mathematics and Computation 2023-07-08

10.1016/j.cam.2010.01.023 article EN publisher-specific-oa Journal of Computational and Applied Mathematics 2010-01-26

10.1016/j.cam.2005.05.018 article EN publisher-specific-oa Journal of Computational and Applied Mathematics 2005-07-28

In this paper we propose and study a hybrid discrete in continuous mathematical model of collective motion under alignment chemotaxis effect. Starting from the by Di Costanzo et al (2015a), which Cucker-Smale (Cucker Smale, 2007) was coupled with other cell mechanisms, to describe migration self-organization zebrafish lateral line primordium, introduce simplified coupling between an mechanism acts on system interacting particles. particular rely description agents are entities, while...

10.3934/dcdsb.2019189 article EN Discrete and Continuous Dynamical Systems - B 2019-09-23

10.1016/j.cam.2023.115068 article EN Journal of Computational and Applied Mathematics 2023-01-13

10.1016/s0377-0427(98)00214-3 article EN Journal of Computational and Applied Mathematics 1999-01-01

10.1016/j.jmaa.2007.04.059 article EN publisher-specific-oa Journal of Mathematical Analysis and Applications 2007-05-04

We propose an integral model describing epidemic of infectious disease. The is behavioural in the sense that constitutive law for force infection includes a distributed delay, called "information index", describes opinion-driven human changes. information index, turn, contains memory kernel to mimic how individuals maintain past values infection. obtain sufficient conditions endemic equilibrium be locally stable. In particular, we show when infectivity function represented by exponential...

10.48550/arxiv.2402.08618 preprint EN arXiv (Cornell University) 2024-02-13

We show that the condition is not necessary, though sufficient, for asymptotic stability of . prove existence a class Volterra difference equations (VDEs) violate this but whose zero solutions are asymptotically stable.

10.1080/10236190701264529 article EN The Journal of Difference Equations and Applications 2007-11-16

10.1016/j.cam.2008.03.036 article EN publisher-specific-oa Journal of Computational and Applied Mathematics 2008-03-31

<p style='text-indent:20px;'>We propose a numerical method for approximating integro-differential equations arising in age-of-infection epidemic models. The is based on non-standard finite differences approximation of the integral term appearing equation. study convergence properties and analysis qualitative behavior solution show that it preserves all basic continuous model with no restrictive conditions step-length <inline-formula><tex-math id="M1">\begin{document}$ h...

10.3934/jcd.2021029 article EN Journal of Computational Dynamics 2021-12-31

In this paper, we study a dynamically consistent numerical method for the approximation of nonlinear integro-differential equation modeling an epidemic with age infection. The discrete scheme is based on direct quadrature methods Gregory convolution weights and preserves, no restrictive conditions step-length integration h, some essential properties continuous system. particular, solution positive bounded and, in cases interest applications, it monotone. We prove order convergence theorem...

10.3390/axioms11020069 article EN cc-by Axioms 2022-02-09

10.1016/j.jmaa.2012.05.080 article EN publisher-specific-oa Journal of Mathematical Analysis and Applications 2012-06-07

In this paper we consider a non-standard discretization to Volterra integro-differential system which includes number of age-of-infection models in the literature. The aim is provide general framework analyze proposed scheme for numerical solution class problems whose continuous dynamic well known literature and allow deeper analysis cases where theory lacks.

10.3934/mbe.2023518 article EN cc-by Mathematical Biosciences & Engineering 2023-01-01

10.1016/j.cam.2008.03.047 article EN Journal of Computational and Applied Mathematics 2008-04-12
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