| Introduction to Optimization 2004 Edition Contributor(s): Pedregal, Pablo (Author) |
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ISBN: 0387403981 ISBN-13: 9780387403984 Publisher: Springer OUR PRICE: $80.74 Product Type: Hardcover - Other Formats Published: November 2003 Annotation: This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimal control, thus giving students an overall view of all aspects of optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed. There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will all find this introduction to optimization extremely useful. |
| Additional Information |
| BISAC Categories: - Mathematics | Game Theory - Mathematics | Discrete Mathematics |
| Dewey: 519.3 |
| LCCN: 2003053895 |
| Series: Texts in Applied Mathematics |
| Physical Information: 0.63" H x 6.14" W x 9.21" (1.20 lbs) 246 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimal control, thus giving students an overall view of all aspects of optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed. |