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Handbook Of Stochastic Methods For Physics Chemistry And The Natural Sciences 3 Ed Gardiner

  • SKU: BELL-10670910
Handbook Of Stochastic Methods For Physics Chemistry And The Natural Sciences 3 Ed Gardiner
$ 31.00 $ 45.00 (-31%)

4.4

62 reviews

Handbook Of Stochastic Methods For Physics Chemistry And The Natural Sciences 3 Ed Gardiner instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 25.49 MB
Pages: 415
Author: Gardiner, Crispin W.
ISBN: 9783540208822, 3540208828
Language: English
Year: 2004
Edition: 3. ed.

Product desciption

Handbook Of Stochastic Methods For Physics Chemistry And The Natural Sciences 3 Ed Gardiner by Gardiner, Crispin W. 9783540208822, 3540208828 instant download after payment.

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In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.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

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