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Autore: |
Winkelmann Stefanie
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Titolo: |
Stochastic dynamics in computational biology / / Stefanie Winkelmann, Christof SchuÌtte
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Pubblicazione: | Cham, Switzerland : , : Springer, , [2020] |
©2020 | |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (XVIII, 272 p. 55 illus., 46 illus. in color.) |
Disciplina: | 570.285 |
Soggetto topico: | Computational biology |
Systems biology | |
Stochastic processes | |
Persona (resp. second.): | SchuÌtteChristof |
Nota di contenuto: | Introduction -- Well-mixed stochastic reaction kinetics -- Population scaling -- Temporal scaling -- Spatial scaling -- Summary and Outlook -- Mathematical background. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Stochastic dynamics in computational biology ![]() |
ISBN: | 3-030-62387-4 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910483098003321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilitĂ qui |