Mathematical Biology
eBook - ePub

Mathematical Biology

Discrete and Differential Equations

  1. 378 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Mathematical Biology

Discrete and Differential Equations

Book details
Table of contents
Citations

About This Book

This text serves as an exploration of the beautiful topic of mathematical biology through the lens of discrete and differential equations. Intended for students who have completed differential and integral calculus, Mathematical Biology: Discrete and Differential Equations allows students to explore topics such as bifurcation diagrams, nullclines, discrete dynamics, and SIR models for disease spread, which are often reserved for more advanced undergraduate or graduate courses. These exciting topics are sprinkled throughout the book alongside the more typical first- and second-order linear differential equations and systems of linear differential equations.

This class-tested text is written in a conversational, welcoming voice, which should help invite students along as they discover the magic of mathematical biology and both discrete and differential equations. A focus is placed on examples with solutions written out step by step, including computational steps, with the goal of being as easy as possible for students to independently follow along.

Rich in applications, this book can be used for a semester-long course in either differential equations or mathematical biology. Alternatively, it can serve as a companion text for a two-semester sequence beginning with discrete-time systems, extending through a wide array of topics in differential equations, and culminating in systems, SIR models, and other applications.

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Yes, you can access Mathematical Biology by Christina Alvey,Daniel Alvey in PDF and/or ePUB format, as well as other popular books in Mathematics & Differential Equations. We have over one million books available in our catalogue for you to explore.

Information

Year
2024
ISBN
9781040098080
Edition
1

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. Preface
  9. 1 Modeling with Discrete Equations
  10. 2 Introduction to Ordinary Differential Equations
  11. 3 Modeling with First-Order ODEs
  12. 4 Modeling with Second-Order ODEs
  13. 5 Modeling with Systems of ODEs
  14. 6 SIR-Type Models
  15. Index