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Mathematical Biology
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Mathematical Biology : Discrete and Differential Equations

Book Details

Format Hardback or Cased Book
ISBN-10 1032288256
ISBN-13 9781032288253
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Aug 9th, 2024
Print length 366 Pages
Weight 768 grams
Dimensions 24.10 x 16.10 x 2.40 cms
Ksh 15,650.00
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Rich in applications, this text can be used for a semester-long course in differential equations or mathematical biology or serve as a companion text for a 2-semester sequence beginning with discrete time systems, through a wide array of topics in differential equations, culminating in systems, SIR models, & other applications.

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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