Aggregation-Diffusion Equations for Collective Behaviour in the Sciences

Fuente: arXiv
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Auteurs principaux: Bailo, Rafael, Carrillo, José A., Gómez-Castro, David
Format: Preprint
Publié: 2024
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author Bailo, Rafael
Carrillo, José A.
Gómez-Castro, David
author_facet Bailo, Rafael
Carrillo, José A.
Gómez-Castro, David
contents This is a survey article based on the content of the plenary lecture given by José A. Carrillo at the ICIAM23 conference in Tokyo. It is devoted to produce a snapshot of the state of the art in the analysis, numerical analysis, simulation, and applications of the vast area of aggregation-diffusion equations. We also discuss the implications in mathematical biology explaining cell sorting in tissue growth as an example of this modelling framework. This modelling strategy is quite successful in other timely applications such as global optimisation, parameter estimation and machine learning.
format Preprint
id arxiv_https___arxiv_org_abs_2405_16679
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Aggregation-Diffusion Equations for Collective Behaviour in the Sciences
Bailo, Rafael
Carrillo, José A.
Gómez-Castro, David
Analysis of PDEs
Numerical Analysis
This is a survey article based on the content of the plenary lecture given by José A. Carrillo at the ICIAM23 conference in Tokyo. It is devoted to produce a snapshot of the state of the art in the analysis, numerical analysis, simulation, and applications of the vast area of aggregation-diffusion equations. We also discuss the implications in mathematical biology explaining cell sorting in tissue growth as an example of this modelling framework. This modelling strategy is quite successful in other timely applications such as global optimisation, parameter estimation and machine learning.
title Aggregation-Diffusion Equations for Collective Behaviour in the Sciences
topic Analysis of PDEs
Numerical Analysis
url https://arxiv.org/abs/2405.16679