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Introduction to Mathematical Biology Modeling Analysis and Simulations 2016 Edition at Meripustak

Introduction to Mathematical Biology Modeling Analysis and Simulations 2016 Edition by Ching Shan Chou, Avner Friedman , Springer

Books from same Author: Ching Shan Chou, Avner Friedman

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  • General Information  
    Author(s)Ching Shan Chou, Avner Friedman
    PublisherSpringer
    ISBN9783319296364
    Pages172
    BindingHardback
    LanguageEnglish
    Publish YearJune 2016

    Description

    Springer Introduction to Mathematical Biology Modeling Analysis and Simulations 2016 Edition by Ching Shan Chou, Avner Friedman

    This book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies. The first includes chemostat models, predator-prey interaction, competition among species, the spread of infectious diseases, and oscillations arising from bifurcations. In developing these topics, readers will also be introduced to the basic theory of ordinary differential equations, and how to work with MATLAB without having any prior programming experience.The second set of case studies were adapted from recent and current research papers to the level of the students. Topics have been selected based on public health interest. This includes the risk of atherosclerosis associated with high cholesterol levels, cancer and immune interactions, cancer therapy, and tuberculosis. Readers will experience how mathematical models and their numerical simulations can provide explanations that guide biological and biomedical research.Considered to be the undergraduate companion to the more advanced book "Mathematical Modeling of Biological Processes" (A. Friedman, C.-Y. Kao, Springer - 2014), this book is geared towards undergraduate students with little background in mathematics and no biological background. Table of contents : - Introduction.- Bacterial Growth in Chemostat.- System of Two Linear Differential Equations.- System of Two Differential Equations.- Predator-Prey Models.- Two Competing Populations.- General Systems of Differential Equations.- The Chemostat Model Revisited.- Spread of Disease.- Enzyme Dynamics.- Bifurcation Theory.- Atherosclerosis: The Risk of High Cholesterol.- Cancer-Immune Interaction. Cancer Therapy.- Tuberculosis.- Solutions.



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