Modeling And Simulation For Collective Dynamics

Benoit Perthame

ISBN 10: 9811266131 / ISBN 13: 9789811266133

Edité par World Scientific Publishing Co Pte Ltd, SG, 2023

A propos de cet article

The thematic program Quantum and Kinetic Problems: Modeling, Analysis, Numerics and Applications was held at the Institute for Mathematical Sciences at the National University of Singapore, from September 2019 to March 2020. Leading experts presented tutorials and special lectures geared towards the participating graduate students and junior researchers.Readers will find in this significant volume four expanded lecture notes with self-contained tutorials on modeling and simulation for collective dynamics including individual and population approaches for population dynamics in mathematical biology, collective behaviors for Lohe type aggregation models, mean-field particle swarm optimization, and consensus-based optimization and ensemble Kalman inversion for global optimization problems with constraints.This volume serves to inspire graduate students and researchers who will embark into original research work in kinetic models for collective dynamics and their applications.

N° de réf. du vendeur LU-9789811266133

Détails bibliographiques

• Titre: Modeling And Simulation For Collective Dynamics
• Éditeur: World Scientific Publishing Co Pte Ltd, SG
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 9811266131
• ISBN à 13 chiffres: 9789811266133
• Reliure: Hardback
• État de l'article: New

A propos de ce titre

Synopsis

The thematic program Quantum and Kinetic Problems: Modeling, Analysis, Numerics and Applications was held at the Institute for Mathematical Sciences at the National University of Singapore, from September 2019 to March 2020. Leading experts presented tutorials and special lectures geared towards the participating graduate students and junior researchers. Readers will find in this significant volume four expanded lecture notes with self-contained tutorials on modeling and simulation for collective dynamics including individual and population approaches for population dynamics in mathematical biology, collective behaviors for Lohe type aggregation models, mean-field particle swarm optimization, and consensus-based optimization and ensemble Kalman inversion for global optimization problems with constraints. This volume serves to inspire graduate students and researchers who will embark into original research work in kinetic models for collective dynamics and their applications.