ABSTRACT
In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally suited to parallel and distributed computation, these advanced par
TABLE OF CONTENTS
part 1|2 pages
Part I - Introduction
part 2|2 pages
Part II - Feynman-Kac models
part 3|2 pages
Part III - Application domains
part 4|2 pages
Part IV - Theoretical aspects