This textbook provides undergraduate students with an introduction to optimization and its uses for relevant and realistic problems. The only prerequisite for readers is a basic understanding of multivariable calculus because additional materials, such as explanations of matrix tools, are provided in a series of Asides both throughout the text at relevant points and in a handy appendix.
The book presents
The author provides four types of learn-by-doing activities throughout the book:
This textbook is appropriate for undergraduate students who have taken a multivariable calculus course.
Keywords: optimization; linear programming; applied mathematics; modelling; numerical methods
Adam Levy is Professor and Chair of the Department of Mathematics at Bowdoin College. He was recognized in 1997 with the college's Sydney B. Korofsky prize for excellence in undergraduate teaching and has published over two dozen journal articles on optimization.
List of Figures; List of Tables; Preface; 1 Modeling; 2 Impractical Optimization; 3 Basic Practical Optimization; 4 Some Practical Modifications; 5 How Methods Are Ranked; 6 Constraints; 7 More Practical Modifications; 8 Integer Variables; 9 Other Methods; Appendix of Asides; Bibliography; Index