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Stochasticity and Quantum Chaos, Z. Haba; Wojciech Cegla; Lech Jak?bczyk


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Автор: Z. Haba; Wojciech Cegla; Lech Jak?bczyk
Название:  Stochasticity and Quantum Chaos
ISBN: 9780792332305
Издательство: Springer
Классификация:
ISBN-10: 079233230X
Обложка/Формат: Hardcover
Страницы: 226
Вес: 0.51 кг.
Дата издания: 31.01.1995
Серия: Mathematics and Its Applications
Язык: English
Размер: 234 x 156 x 14
Основная тема: Physics
Подзаголовок: Proceedings of the 3rd Max Born Symposium, Sob?tka Castle, September 15–17, 1993
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume covers a wide range of problems in the quantum mechanics of non-integrable systems, presented by experts in the field. The main part of the work concerns quantum chaos and dynamical aspects of chaos in particular.


Stochasticity in Processes

Автор: Schuster
Название: Stochasticity in Processes
ISBN: 3319395009 ISBN-13(EAN): 9783319395005
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book has developed over the past fifteen years from a modern course on stochastic chemical kinetics for graduate students in physics, chemistry and biology. The first part presents a systematic collection of the mathematical background material needed to understand probability, statistics, and stochastic processes as a prerequisite for the increasingly challenging practical applications in chemistry and the life sciences examined in the second part.Recent advances in the development of new techniques and in the resolution of conventional experiments at nano-scales have been tremendous: today molecular spectroscopy can provide insights into processes down to scales at which current theories at the interface of physics, chemistry and the life sciences cannot be successful without a firm grasp of randomness and its sources. Routinely measured data is now sufficiently accurate to allow the direct recording of fluctuations. As a result, the sampling of data and the modeling of relevant processes are doomed to produce artifacts in interpretation unless the observer has a solid background in the mathematics of limited reproducibility.The material covered is presented in a modular approach, allowing more advanced sections to be skipped if the reader is primarily interested in applications. At the same time, most derivations of analytical solutions for the selected examples are provided in full length to guide more advanced readers in their attempts to derive solutions on their own. The book employs uniform notation throughout, and a glossary has been added to define the most important notions discussed.


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