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Can I read Advanced Mathematical Methods In Biosciences And Applications (steam-h: Science, Technology, Engineering, Agriculture, Mathematics & Health) on EtoBox?

Advanced Mathematical Methods In Biosciences And Applications (steam-h: Science, Technology, Engineering, Agriculture, Mathematics & Health) by Faina Berezovskaya; Bourama Toni; SpringerLink (Online service) is a nonfiction available to read on EtoBox.

What is Advanced Mathematical Methods In Biosciences And Applications (steam-h: Science, Technology, Engineering, Agriculture, Mathematics & Health) about?

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.

Who reads Advanced Mathematical Methods In Biosciences And Applications (steam-h: Science, Technology, Engineering, Agriculture, Mathematics & Health)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Faina Berezovskaya; Bourama Toni; SpringerLink (Online service)
Publisher
Springer International Publishing : Imprint: Springer
Published
2019
Language
EN
ISBN
9783030157173
Category
nonfiction
Subjects
Science, Mathematics, Biology

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