Marc Notes:
Originally published: New York: McGraw-Hill, 1984.; Includes bibliographical references and index.

Table of Contents:
1. The Scope of Mathematical Modeling
2. The Relation of Models to Data
3. Evaluation of Mathematical Models
4. Optimization
5. Choosing the Mathematics for the Model
Answers to Selected Exercises
Index

Publisher Marketing:
Appropriate for undergraduate and graduate students, this text features independent sections that illustrate the most important principles of mathematical modeling, a variety of applications, and classic models. Students with a solid background in calculus and some knowledge of probability and matrix theory will find the material entirely accessible. The range of subjects includes topics from the physical, biological, and social sciences, as well as those of operations research. Discussions cover related mathematical tools and the historical eras from which the applications are drawn. Each section is preceded by an abstract and statement of prerequisites, and answers or hints are provided for selected exercises. 1984 edition.