Stochastic Dynamics in Computational Biology
Stefanie Winkelmann, Christof Schutte
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.
వర్గాలు:
సంవత్సరం:
2021
ప్రచురణకర్త:
Springer
భాష:
english
పేజీల సంఖ్య:
283
ISBN 10:
3030623866
ISBN 13:
9783030623869
పుస్తక శ్రేణి:
Frontiers in Applied Dynamical Systems: Reviews and Tutorials
ఫైల్:
PDF, 7.78 MB
IPFS:
,
english, 2021
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