Handbook of Stochastic Methods

Handbook of Stochastic Methods
Author :
Publisher : Springer Verlag
Total Pages : 442
Release :
ISBN-10 : 3540616349
ISBN-13 : 9783540616344
Rating : 4/5 (344 Downloads)

Book Synopsis Handbook of Stochastic Methods by : Crispin W. Gardiner

Download or read book Handbook of Stochastic Methods written by Crispin W. Gardiner and published by Springer Verlag. This book was released on 1985-01-01 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Handbook of Stochastic Methods Related Books

Handbook of Stochastic Methods
Language: en
Pages: 442
Authors: Crispin W. Gardiner
Categories: Mathematics
Type: BOOK - Published: 1985-01-01 - Publisher: Springer Verlag

DOWNLOAD EBOOK

Stochastic Methods
Language: en
Pages: 0
Authors: Crispin Gardiner
Categories: Science
Type: BOOK - Published: 2010-10-19 - Publisher: Springer

DOWNLOAD EBOOK

In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential eq
Quantum Noise
Language: en
Pages: 476
Authors: Crispin Gardiner
Categories: Science
Type: BOOK - Published: 2004-08-27 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book offers a systematic and comprehensive exposition of the quantum stochastic methods that have been developed in the field of quantum optics. It include
Stochastic Methods and their Applications to Communications
Language: en
Pages: 446
Authors: Serguei Primak
Categories: Technology & Engineering
Type: BOOK - Published: 2005-01-28 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Stochastic Methods & their Applications to Communications presents a valuable approach to the modelling, synthesis and numerical simulation of random processes
Handbook of Markov Decision Processes
Language: en
Pages: 560
Authors: Eugene A. Feinberg
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Eugene A. Feinberg Adam Shwartz This volume deals with the theory of Markov Decision Processes (MDPs) and their applications. Each chapter was written by a lead