학술논문

Mathematical models in the biosciences
Document Type
Review
Author
Source
Choice Reviews 60:06
Subject
Choice Reviews Primary Subject - Science & Technology
Choice Reviews Secondary Subject - Mathematics
Language
English
Abstract
The target audience for this book is advanced undergraduates and graduate students in the biological sciences who ideally have had two semesters of calculus and one semester of differential equations. The author does provide a survey of those introductory courses, but it is not realistic to expect a student without those prerequisites to follow the more advanced parts of the text. Those more advanced topics include differential equations in the plane, linear and nonlinear systems and stability, power series, probability (discrete, both with combinatorial counting and continuous, discussing a few famous distributions), and Bayesian inference. Frame (emer., Yale Univ.) ends the book with three appendixes, two of which are collections of additional mathematical facts, while the third contains code for use with the software package Mathematica. A great strength of this book is its collection of exercises, which are scattered throughout the text in small groups rather than at the end of chapters. Many of these exercises come with hints, numerical answers, or solutions, which will make self-study much easier than in most similar textbooks. Summing Up: Recommended. Upper-division undergraduates. Graduate students.

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