European University Institute Library

Stochastic Dynamics in Computational Biology, by Stefanie Winkelmann, Christof Schütte

Label
Stochastic Dynamics in Computational Biology, by Stefanie Winkelmann, Christof Schütte
Language
eng
resource.imageBitDepth
0
Literary Form
non fiction
Main title
Stochastic Dynamics in Computational Biology
Medium
electronic resource
Nature of contents
dictionaries
Oclc number
1229075475
Responsibility statement
by Stefanie Winkelmann, Christof Schütte
Series statement
Frontiers in Applied Dynamical Systems: Reviews and Tutorials,, 2364-4532Springer eBooks.
Summary
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.--, Provided by publisher
Table Of Contents
Introduction -- Well-mixed stochastic reaction kinetics -- Population scaling -- Temporal scaling -- Spatial scaling -- Summary and Outlook -- Mathematical background
Classification
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