Four New Books Reviewed

Mathematical Computing with Maple
by D. Betounes and M. Redfern

Mathematical Computing with Maple teaches the basic elements of programming and constructing computer programs within Maple. The programming assignments are based on calculus to reinforce the concepts presented in Calculus courses and encourage the development of technical documentation skills. Betounes and Redfern see Mathematical Computing with Maple as a substitute for traditional programming courses such as FORTRAN, Pascal, C, etc., since programming experience is gained from the mathematically oriented programming examples.

The motivation behind this course is to expose and make relevant the techniques students learn in a calculus sequence. Maple's easeof- use programming language, especially in the area of calculus, was the obvious choice of computer algebra systems. This book is designed for sophomore and junior level students majoring in math and science. However, no previous knowledge of Maple or programming experience is required. The CD-ROM contains supplementary Maple code along with related materials and optional exercises.

Advanced Mathematical Methods with Maple
by D. Richards

Advanced Mathematical Methods with Maple provides techniques for deriving solutions to linear and nonlinear differential equations and integrals. Richards starts off with an introduction to Maple before delving into advanced techniques. Over 1000 exercises are incorporated with various degrees of difficulty to help students with the concepts presented. Advanced Mathematical Methods with Maple is designed for advanced undergraduates and graduate students of mathematics and physical sciences.

Statistics with Maple
by J. Rafter,M.Abell, and J. Braselton

Statistics with Maple is a handy reference manual for anyone using Maple for applications of statistical methodology. This book addresses all of the topics presented in an introductory Statistics course, such as calculating numerical summaries, creating graphical displays, and performing statistical inferences. Also included are topics presented in a nonparametric statistics course.

Even though this book begins with an introduction to Maple, you will find it much easier to follow with a basic knowledge of Maple and statistics, since some information is provided without detail. This comprehensive reference guide contains a detailed table of contents along with a full index of procedures, tables, examples and more. Over 150 procedures are presented in this book and included on an accompanied CD-ROM to extend Maple's current capabilities in this area.

Mathematical Modelling with Case Studies: A Differential Equation Approach Using Maple
by B. Barnes and G. Fulford

Mathematical Modelling with Case Studies addresses basic modelling skills using Maple. Topics include models of single populations, numerical solution of differential equations, formulating models, phase-plane analysis, linearisation analysis, solving time dependent problems, an introduction to partial differential equations and more. Students who want to develop some basic modelling skills will find this book useful.

Article: Four New Books Reviewed