Stochastic ordinary and stochastic partial differential equations : transition from microscopic to macroscopic equations.

Author(s)
Kotelenez, P.
Year
Abstract

Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focuses on general methods, whereas the second half discusses model-specific algorithms. (Author/publisher)

Publication

Library number
20140439 ST [electronic version only]
Source

New York, Springer, 2008, X + 458 p., ref.; Stochastic modelling and applied probability (formerly: Applications of Mathematics) ; Vol. 58 - ISSN 0172-4568 / ISBN-13 978-0-387-74316-5 / e-ISBN-13 978-0-387-74317-2

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.