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Mean Field Games
Details
This volume provides an introduction to the theory of Mean Field Games, suggested by J.-M. Lasry and P.-L. Lions in 2006 as a mean-field model for Nash equilibria in the strategic interaction of a large number of agents.
Besides giving an accessible presentation of the main features of mean-field game theory, the volume offers an overview of recent developments which explore several important directions: from partial differential equations to stochastic analysis, from the calculus of variations to modeling and aspects related to numerical methods. Arising from the CIME Summer School "Mean Field Games" held in Cetraro in 2019, this book collects together lecture notes prepared by Y. Achdou (with M. Laurière), P. Cardaliaguet, F. Delarue, A. Porretta and F. Santambrogio.
These notes will be valuable for researchers and advanced graduate students who wish to approach this theory and explore its connections with several different fields in mathematics.
The first accessible and yet technically detailed introduction to mean-field game theory Collects in one volume most of the PDE techniques developed in MFG theory Includes a special chapter on numerical simulations, with applications to economics and crowd dynamics
Inhalt
- An Introduction to Mean Field Game Theory. - Lecture Notes on Variational Mean Field Games. - Master Equation for Finite State Mean Field Games with Additive Common Noise. - Mean Field Games and Applications: Numerical Aspects.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030598365
- Editor Pierre Cardaliaguet, Alessio Porretta
- Sprache Englisch
- Auflage 1st edition 2020
- Größe H235mm x B155mm x T18mm
- Jahr 2021
- EAN 9783030598365
- Format Kartonierter Einband
- ISBN 3030598365
- Veröffentlichung 20.01.2021
- Titel Mean Field Games
- Autor Yves Achdou , Pierre Cardaliaguet , François Delarue , Alessio Porretta , Filippo Santambrogio
- Untertitel Cetraro, Italy 2019
- Gewicht 487g
- Herausgeber Springer International Publishing
- Anzahl Seiten 320
- Lesemotiv Verstehen
- Genre Mathematik