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161103 ||| eng |
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|a 9783319395029
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|a Schuster, Peter
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| 245 |
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|a Stochasticity in Processes
|h Elektronische Ressource
|b Fundamentals and Applications to Chemistry and Biology
|c by Peter Schuster
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| 250 |
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|a 1st ed. 2016
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2016, 2016
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| 300 |
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|a XVI, 718 p. 168 illus., 162 illus. in color
|b online resource
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| 505 |
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|a Probability -- Distributions, Moments and Statistics -- Stochastic Processes -- Applications in Chemistry -- Applications in Biology -- Perspectives -- References -- Glossary -- Notation
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| 653 |
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|a Complex Systems
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| 653 |
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|a Chemistry, Physical and theoretical
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| 653 |
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|a Bioinformatics
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| 653 |
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|a Computational and Systems Biology
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| 653 |
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|a Mathematical and Computational Biology
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| 653 |
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|a Theoretical Chemistry
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| 653 |
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|a Biostatistics
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| 653 |
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|a Biomathematics
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| 653 |
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|a System theory
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| 653 |
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|a Biophysics
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| 653 |
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|a Biometry
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Springer Series in Synergetics
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| 028 |
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|a 10.1007/978-3-319-39502-9
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| 856 |
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|u https://doi.org/10.1007/978-3-319-39502-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 530.1
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| 520 |
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|a 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 modelingof 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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