Schuster Stochasticity in Processes 9783319395005

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Автор: Schuster
Название: Stochasticity in Processes
ISBN: 9783319395005
Издательство: Springer
Классификация:

Математика для учёных

Статистическая физика

Прикладная физика и специальные темы

Биофизика

Физическая химия

Квантовая и теоретическая химия

Науки о жизни (медико-биологические): общие вопросы

ISBN-10: 3319395009
Обложка/Формат: Hardback
Страницы: 718
Вес: 1.26 кг.
Дата издания: 2016
Серия: Springer Series in Synergetics
Язык: English
Иллюстрации: 6 black & white illustrations, 162 colour illustrations, biography
Размер: 234 x 156 x 40
Читательская аудитория: General (us: trade)
Основная тема: Physics
Подзаголовок: Fundamentals and Applications to Chemistry and Biology
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Дополнительное описание: Probability.- Distributions, Moments and Statistics.- Stochastic Processes.- Applications in Chemistry.- Applications in Biology.- Perspectives.- References.- Glossary.- Notation.

Stochasticity in Processes, Schuster