Stochastic Dynamics in Computational Biology / Frontiers in Applied Dynamical Systems: Reviews and Tutorials (PDF)
(Sprache: Englisch)
The aim of this book is to provide a well-structured and coherent overview of existing mathematical modeling approaches for biochemical reaction systems, investigating relations between both the conventional models and several types of...
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The aim of this book is to provide a well-structured and coherent overview of existing mathematical modeling approaches for biochemical reaction systems, investigating relations between both the conventional models and several types of deterministic-stochastic hybrid model recombinations. Another main objective is to illustrate and compare diverse numerical simulation schemes and their computational effort. Unlike related works, this book presents a broad scope in its applications, from offering a detailed introduction to hybrid approaches for the case of multiple population scales to discussing the setting of time-scale separation resulting from widely varying firing rates of reaction channels. Additionally, it also addresses modeling approaches for non well-mixed reaction-diffusion dynamics, including deterministic and stochastic PDEs and spatiotemporal master equations. Finally, by translating and incorporating complex theory to a level accessible to non-mathematicians, this book effectively bridges the gap between mathematical research in computational biology and its practical use in biological, biochemical, and biomedical systems.
Bibliographische Angaben
- Autoren: Stefanie Winkelmann , Christof Schütte
- 2021, 1st ed. 2020, 272 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030623874
- ISBN-13: 9783030623876
- Erscheinungsdatum: 04.01.2021
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- Dateiformat: PDF
- Grösse: 7.70 MB
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Englisch
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