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Summary
Summary
Interactive Operations Research with Maple: Methods and Models has two ob jectives: to provide an accelerated introduction to the computer algebra system Maple and, more importantly, to demonstrate Maple's usefulness in modeling and solving a wide range of operations research (OR) problems. This book is written in a format that makes it suitable for a one-semester course in operations research, management science, or quantitative methods. A nwnber of students in the departments of operations research, management science, oper ations management, industrial and systems engineering, applied mathematics and advanced MBA students who are specializing in quantitative methods or opera tions management will find this text useful. Experienced researchers and practi tioners of operations research who wish to acquire a quick overview of how Maple can be useful in solving OR problems will find this an excellent reference. Maple's mathematical knowledge base now includes calculus, linear algebra, ordinary and partial differential equations, nwnber theory, logic, graph theory, combinatorics, statistics and transform methods. Although Maple's main strength lies in its ability to perform symbolic manipulations, it also has a substantial knowledge of a large nwnber of nwnerical methods and can plot many different types of attractive-looking two-dimensional and three-dimensional graphs. After almost two decades of continuous improvement of its mathematical capabilities, Maple can now boast a user base of more than 300,000 academics, researchers and students in different areas of mathematics, science and engineering.
Reviews 1
Choice Review
This informative book is for individuals desiring to study operations research. It is intended for use with the computer algebra system Maple 5.1 or 6. The inclusion of Maple makes this work novel in its approach to the description of operations research. Parlar (business, McMaster univ., Ontario) begins with an overview of operations research and the basics of Maple, and describes the mathematical basis of operations research. The remainder of the book provides details on linear, nonlinear, and dynamic programming; stochastic processes; inventory models; queuing systems; and simulation. Maple commands and routines are thoroughly explained and included in both theoretical discussions and the examples throughout the book. The accompanying Maple 5.1 and 6 worksheets are available for download from both the author's Web site and the Birkh"auser Web site . More than 80 exercises are included with these topics. In summary, a welcome addition to the literature. The reading level is suitable for upper-division undergraduates, graduate students, researchers, and faculty. D. P. Turner; Faulkner University
Table of Contents
| Preface |
| 1 Introduction to Operations Research |
| 2 A Quick Tour of Maple |
| 3 Maple and Mathematical Foundations of Operations Research |
| 4 Linear Programming |
| 5 Nonlinear Programming |
| 6 Dynamic Programming |
| 7 Stochastic Processes |
| 8 Inventory Models |
| 9 Queueing Systems |
| 10 Simulation |
| References |
| Index |
