Stochastic Methods Hardback - 2009
by Crispin Gardiner
- New
- Hardcover
Description
Standard delivery: 7 to 12 days
Details
- Title Stochastic Methods
- Author Crispin Gardiner
- Binding Hardback
- Edition 4th ed
- Condition New
- Pages 447
- Volumes 1
- Language ENG
- Publisher Springer
- Date 2009-01-16
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # ria9783540707127_inp
- ISBN 9783540707127 / 3540707123
- Weight 1.9 lbs (0.86 kg)
- Dimensions 9.3 x 6.5 x 1.2 in (23.62 x 16.51 x 3.05 cm)
- Library of Congress Catalog Number 2008936877
- Dewey Decimal Code 519.23
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From the publisher
From the rear cover
This fourth edition of the classic text "A Handbook of Stochastic Methods" has been significantly augmented, thoroughly revised, and restructured to accomodate the new material within a systematic logical framework. This new edition adheres the original aim: "to make available in simple language and deductive form, the many formulae and methods that can be found in the literature on stochastic methods."
A new chapter on the applications of stochastic methods in finance provides an introduction to this field using the same simple kind of language as the other parts of the book. This chapter also includes an introduction to Lvy processes, which have found to be very useful in simulating financial systems where more accuracy is required than is available from simple Brownian motion models. New material is also provided on the approach to the white noise limit, on the applications of Poisson representation methods to population dynamics, and on several other applications of stochastic methods.
From the reviews of previous editions
"Extremely well written and informative... clear, complete, and fairly rigorous treatment of a larger number of very basic concepts in stochastic theory." (Journal of Quantum Electronics)
"A first class book." (Optica Acta)
"Ideal for people who need a clear introduction to stochastic mathematics and their applications in physical sciences'] an excellent self study and reference book." (Quantnotes.com)
"This well-established volume takes a supreme position [among the many books on the subject].. This extremely valuable contribution to the field of applied stochastic methods can be recommended to graduate students, researchers, and university teachers." (Optimization)
