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 € GLS courier 4.99 € DPD courier 4.49 € DPD point 3.49 €

Contact

How to shop

Help

My account

▸ Empty :-(

Stochastic Systems In Merging Phase Space

Name: Stochastic Systems In Merging Phase Space
Brand: World Scientific Publishing Co Pte Ltd
SKU: 05068192
Price: 124.69 EUR
Availability: InStock
Author: Vladimir S. Koroliuk
ISBN: 9789812565914

Vladimir S. Koroliuk

Nikolaos Limnios

Language

English

Book Hardback

Libristo code: 05068192

Publishers World Scientific Publishing Co Pte Ltd, December 2005

This book provides recent results on the stochastic approximation of systems by weak convergence tec... Full description

Libristo code: 05068192

305 b

124.69 € VAT included

50 % chance We search the world When will I receive my book?

Delivery to Austria

Up to 30 days for returns

Customers also purchased

Non Monsieur Fukuyama, l'histoire n'est pas finie ! Jean-Pascal Farges

Paperback

4.99 €

52 Cosas Que Martha Desea Que Alejandro Sepa: Una Manera Diferente de Decirlo J L Leyva

Paperback

14.69 €

Black Metal: Into The Abyss Dayal Patterson

Hardback

24.95 €

Odyssee Hymnes Epigrammes Batrakhomyomakhie HOMERE

Paperback

27.39 €

L''odyss e Des M dias-Son Piche Claire

Paperback

45.89 €

This book provides recent results on the stochastic approximation of systems by weak convergence techniques. General and particular schemes of proofs for average, diffusion, and Poisson approximations of stochastic systems are presented, allowing one to simplify complex systems and obtain numerically tractable models. The systems discussed in the book include stochastic additive functionals, dynamical systems, stochastic integral functionals, increment processes and impulsive processes. All these systems are switched by Markov and semi-Markov processes whose phase space is considered in asymptotic split and merging schemes. Most of the results from semi-Markov processes are new and presented for the first time in this book.