Advanced Mathematical Methods in Biosciences and Applications

Featuring contributions from experts in mathematical biology and biomedical research, this edited volume covers a diverse set of topics on mathematical methods and applications in the biosciences. Topics focus on advanced mathematical methods, with chapters on the mathematical analysis of the quasis...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Berezovskaya, Faina (Editor, http://id.loc.gov/vocabulary/relators/edt), Toni, Bourama (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health,
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:Featuring contributions from experts in mathematical biology and biomedical research, this edited volume covers a diverse set of topics on mathematical methods and applications in the biosciences. Topics focus on advanced mathematical methods, with chapters on the mathematical analysis of the quasispecies model, Arnold's weak resonance equation, bifurcation analysis, and the Tonnelier-Gerstner model. Special emphasis is placed on applications such as natural selection, population heterogeneity, polyvariant ontogeny in plants, cancer dynamics, and analytical solutions for traveling pulses and wave trains in neural models. A survey on quasiperiodic topology is also presented in this book. Carefully peer-reviewed, this volume is suitable for students interested in interdisciplinary research. Researchers in applied mathematics and the biosciences will find this book an important resource on the latest developments in the field. In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.
Physical Description:XII, 264 p. 108 illus., 63 illus. in color. online resource.
ISBN:9783030157159
ISSN:2520-193X
DOI:10.1007/978-3-030-15715-9