Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Austrian Post 5.49 € DPD courier 3.99 € DPD point 2.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Stochastic Partial Differential Equations

Name: Stochastic Partial Differential Equations
Brand: Cambridge University Press
SKU: 02032694
Price: 89.79 EUR
Availability: InStock
Author: Alison Etheridge
ISBN: 9780521483193

Alison Etheridge

Language

English

Book Paperback

Libristo code: 02032694

Publishers Cambridge University Press, July 1995

Stochastic partial differential equations can be used in many areas of science to model complex syst... Full description

Libristo code: 02032694

220 b

89.79 € VAT included

In stock at our supplier Shipping in 9-15 days

Delivery to Austria

30-day return policy

Customers also purchased

Storm. Band 29 Rob van Bavel

Hardback

16.80 €

La época dorada de América : pensamiento, política, mentalidades Mario Hernández Sánchez-Barba

Paperback

15.99 €

Tour de la Vallee. Histoire Et Description de Montmorency, Deuil, Epinay-Sur-Seine, Montmagny, LEFEUVE-C

Paperback

22.99 €

Pour l'amour de Carcassonne - récit Viollet-le-Duc Book

Paperback

14.79 €

Namberguán Ruibal

Paperback

15.99 €

Der Spaziergang des Herrn Momo Luca Tortolini

Hardback

21.59 €

Óptimo Daniel Goleman

Adobe ePub DRM

10.29 €

Erwachsenenpuzzle 1000 Teile - Fleißige Vögelchen Hannah McCaffery

Game

16.79 €

Lær Dansk Persisk Emily Olsen

Paperback

13.59 €

Stochastic partial differential equations can be used in many areas of science to model complex systems that evolve over time. Their analysis is currently an area of much research interest. This book consists of papers given at the ICMS Edinburgh meeting held in 1994 on this topic, and it brings together some of the world's best known authorities on stochastic partial differential equations. Subjects covered include the stochastic Navier–Stokes equation, critical branching systems, population models, statistical dynamics, and ergodic properties of Markov semigroups. For all workers on stochastic partial differential equations this book will have much to offer.