Mathematical Modeling

Name: Mathematical Modeling
Brand: Taylor & Francis Inc
Price: 181.75 AUD
Availability: BackOrder

Branching Beyond Calculus

By: Crista Arangala, Nicolas S. Luke, Karen A. Yokley

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Hardcover | 6 February 2018 | Edition Number 1

At a Glance

Hardcover
304 Pages

Dimensions(cm)
15.9 x 23.6 x 2.9

Hardcover

RRP $206.00

$181.75

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Mathematical Modeling: Branching Beyond Calculus reveals the versatility of mathematical modeling. The authors present the subject in an attractive manner and flexibley manner. Students will discover that the topic not only focuses on math, but biology, engineering, and both social and physical sciences.

The book is written in a way to meet the needs of any modeling course. Each chapter includes examples, exercises, and projects offering opportunities for more in-depth investigations into the world of mathematical models. The authors encourage students to approach the models from various angles while creating a more complete understanding. The assortment of disciplines covered within the book and its flexible structure produce an intriguing and promising foundation for any mathematical modeling course or for self-study.

Key Features:

Chapter projects guide more thorough investigations of the models
The text aims to expand a student's communication skills and perspectives
WThe widespread applications are incorporated, even includinge biology and social sciences
Its structure allows it to serve as either primary or supplemental text
Uses Mathematica and MATLAB are used to develop models and computations

Industry Reviews

Undergraduate textbooks on calculus, differential equations, and linear algebra usually contain a few exercises per chapter that use their subject to model a phenomenon from outside mathematics-typically from physics, biology, chemistry, engineering, or economics. In a typical class, these applications do not amount to more than ten percent of class time. In this book, the authors collect modeling examples from those three areas and make them the central focus of their book. For most of the book, no new theory is covered; instead, the authors provide brief refreshers on some of the necessary theoretical concepts from calculus, differential equations, and linear algebra. The intended audience is second- or third-year students who have already taken those classes. A few exercises accompany each section, with solutions included at the end of the book. The fifth and last chapter does contain material that will be new to most mid-career undergraduates, such as Monte-Carlo simulations and the Prisoners' Dilemma. This book seems ideally suited to an undergraduate class on modeling-a class that few institutions likely offer-and may serve some as a means of independent study.
--M. Bona, University of Florida

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