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Handbook of Stochastic Methods: for Physics, Chemistry and the Natural Sciences (Springer Series in Synergetics)

Handbook of Stochastic Methods: for Physics, Chemistry and the Natural Sciences (Springer Series in Synergetics)

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Author: Crispin W. Gardiner
Publisher: Springer
Category: Book

List Price: $135.00
Buy New: $107.45
You Save: $27.55 (20%)



New (11) Used (6) from $92.61

Rating: 4.5 out of 5 stars 3 reviews
Sales Rank: 167608

Media: Paperback
Edition: 3rd
Pages: 415
Number Of Items: 1
Shipping Weight (lbs): 1.3
Dimensions (in): 9.1 x 6.1 x 1.1

ISBN: 3540208828
Dewey Decimal Number: 519.2
EAN: 9783540208822

Publication Date: April 28, 2004
Availability: Usually ships in 1-2 business days

Accessories:

  • Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in Operations Research and Financial Engineering)
  • A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics)
  • Applied Stochastic Processes (Universitext)

Similar Items:

  • Stochastic Processes in Physics and Chemistry, Third Edition (North-Holland Personal Library) (North-Holland Personal Library)
  • The Fokker-Planck Equation: Methods of Solutions and Applications (Springer Series in Synergetics)
  • An Introduction to Stochastic Processes in Physics (Johns Hopkins Paperback)
  • Stochastic Differential Equations: An Introduction with Applications (Universitext)
  • Nonequilibrium Statistical Mechanics

Editorial Reviews:

Product Description

This valuable and highly-praised reference collects and explains, in simple language and reasonably deductive form, those formulas and methods and their applications used in modern Statistical Physics, including the foundations of Markov systems, stochastic differential equations, Fokker-Planck equations, approximation methods, chemical master equations, and quantum-mechanical Markov processes. The practical orientation and broad coverage appeal to researchers and academics working in theoretical physics, physical chemistry, and related fields.

In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.

From the reviews: "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)




Customer Reviews:

5 out of 5 stars A very important book in th area   May 11, 2000
6 out of 6 found this review helpful

This is a great book. The different chapters are very clearly written and each of them could be applied as a tool for solving similar problems, one may encounter in his (hers) research. Although the text is not introductory, with some effort, the reader could avoid going through more elementary books on the subject first.


5 out of 5 stars A fresh perspective on stochastic processes   September 10, 2003
Bhattacharya (Delaware)
1 out of 2 found this review helpful

This is a great book on stochastic processes. The author has a unique perspective on the subject and elegantly moves from one topic to the next. A great help in understanding difficult concepts.


3 out of 5 stars OK, but van Kampen is better   July 14, 2007
K. MCHALE (Pasadena, CA United States)
3 out of 4 found this review helpful

"Handbook" is a fitting title. It reads more like a collection of solution techniques than like a book meant to actually teach the subject to someone, which is perfectly acceptable for a reference book but not really suitable for a textbook.

Unfortunately for this book, however, van Kampen's book is better as both a reference and a textbook. While generally written with a somewhat higher degree of sophistication, van Kampen is organized so much more logically and is so much more complete in its development of the subject that it is far easier to read, even as (or maybe especially as?) an introductory book.

Gardiner is a good book, and there are things that it has over van Kampen: a chapter on approximation methods, a chapter on simulation methods, and a little bit more detail on certain topics. However, van Kampen's is a phenomenal book and really should be chosen over this one except by those readers with very specific needs.


 
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