Discrete Mathematical Models in Population Biology: Ecological, Epidemic, and Evolutionary Dynamics
Author:   Saber N. Elaydi ,  Jim M. Cushing
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031647949


Pages:   481
Publication Date:   04 January 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Discrete Mathematical Models in Population Biology: Ecological, Epidemic, and Evolutionary Dynamics


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Author:   Saber N. Elaydi ,  Jim M. Cushing
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031647949


ISBN 10:   3031647947
Pages:   481
Publication Date:   04 January 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- 1.Scalar Population Models.- 2. Linear Structured Population Models.- 3. Linear and Nonlinear Systems.- 4. Infectious Disease Models I.- 5. Models with Multiple Attractors.- 6. Nonlinear Structured Population Models.- 7. Infectious Disease Models II.- 8. Evolutionary Models.- 9. Autonomous Models.- Bibliography.- Index.

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Author Information

Saber N. Elaydi is Professor of Mathematics and the department chair at Trinity University in San Antonio, Texas. His main objectives in teaching is to make mathematics accessible to all Trinity students regardless of their background or academic focus. His UTM entitled An Introduction to Difference Equations is in its 3rd edition with Springer. Jim M. Cushing is Professor Emeritus of the Department of Mathematics at University of Arizona. His research involves the derivation and analysis of mathematical models that describe population and evolutionary dynamics. Professor Cushing is particularly interested in structured population dynamics and also studies evolutionary game theoretic versions of population models.   

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Latest Reading Guide

NOV RG 20252

 

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