Winkelmann, Stefanie and Schütte, Christof
*Stochastic Dynamics in Computational Biology.*
Springer.

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## Abstract

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.

Item Type: | Book |
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Subjects: | Mathematical and Computer Sciences |

ID Code: | 2626 |

Deposited By: | BioComp Admin |

Deposited On: | 15 Oct 2021 11:39 |

Last Modified: | 15 Oct 2021 11:39 |

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