XIX, 259 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Gestempelt "Mängelexemplar"/ stamped "imperfect copy". Bumped. Sprache: Englisch.
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Language: English
Published by Springer International Publishing, 2018
ISBN 10: 331987358X ISBN 13: 9783319873589
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Language: English
Published by Springer International Publishing, 2017
ISBN 10: 3319626264 ISBN 13: 9783319626260
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Condition: New. Softcover reprint of the original 1st ed. 2018 edition NO-PA16APR2015-KAP.
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology | David Holcman | Taschenbuch | xiii | Englisch | 2018 | Springer | EAN 9783319873589 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Condition: Neu. Stochastic Narrow Escape in Molecular and Cellular Biology | Analysis and Applications | David Holcman (u. a.) | Taschenbuch | Biological and Medical Physics, Biomedical Engineering | xix | Englisch | 2016 | Springer | EAN 9781493941230 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Add to basketHardcover. Condition: Brand New. 377 pages. 9.25x6.25x1.00 inches. In Stock.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 331987358X ISBN 13: 9783319873589
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology.This text aims to develop improved mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to low copy numbers of biological molecules, such as mRNA and proteins that take part in biochemical reactions driving cellular processes. When trying to describe such biological processes, the traditional deterministic models are often inadequate, precisely because of these low copy numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The complexity of these models depend upon whether the biochemical reactions are diffusion-limited or reaction-limited. In the former case, oneneeds to adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology will appeal to graduate students and researchers in the fields of applied mathematics, biophysics, and cellular biology.
Language: English
Published by Springer International Publishing, 2017
ISBN 10: 3319626264 ISBN 13: 9783319626260
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology.This text aims to develop improved mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to low copy numbers of biological molecules, such as mRNA and proteins that take part in biochemical reactions driving cellular processes. When trying to describe such biological processes, the traditional deterministic models are often inadequate, precisely because of these low copy numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The complexity of these models depend upon whether the biochemical reactions are diffusion-limited or reaction-limited. In the former case, oneneeds to adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology will appeal to graduate students and researchers in the fields of applied mathematics, biophysics, and cellular biology.
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Add to basketPaperback. Condition: Brand New. reprint edition. 377 pages. 9.25x6.10x0.89 inches. In Stock.