Advanced Mathematical Methods in Biosciences and Applications Advanced Mathematical Methods in Biosciences and Applications
STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health

Advanced Mathematical Methods in Biosciences and Applications

    • ‏84٫99 US$
    • ‏84٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
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١٩ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
٢٧٦
الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
The Dynamics of Biological Systems The Dynamics of Biological Systems
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Trends in Biomathematics: Mathematical Modeling for Health, Harvesting, and Population Dynamics Trends in Biomathematics: Mathematical Modeling for Health, Harvesting, and Population Dynamics
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Extended Abstracts Spring 2014 Extended Abstracts Spring 2014
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Nonautonomous Dynamical Systems in the Life Sciences Nonautonomous Dynamical Systems in the Life Sciences
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Multiscale Problems in the Life Sciences Multiscale Problems in the Life Sciences
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Extended Abstracts Spring 2018 Extended Abstracts Spring 2018
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Causality: The p-adic Theory Causality: The p-adic Theory
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Practical Statistical Learning and Data Science Methods Practical Statistical Learning and Data Science Methods
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Innovative Integrals and Their Applications II Innovative Integrals and Their Applications II
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Sustainable Statistical and Data Science Methods and Practices Sustainable Statistical and Data Science Methods and Practices
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Trends and Challenges in Cognitive Modeling Trends and Challenges in Cognitive Modeling
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Algebra without Borders – Classical and Constructive Nonassociative Algebraic Structures Algebra without Borders – Classical and Constructive Nonassociative Algebraic Structures
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