The basics of practical optimization /
Optimization is presented in most multivariable calculus courses as an application of the gradient, and while this treatment makes sense for a calculus course, there is much more to the theory of optimization. Optimization problems are generated constantly, and the theory of optimization has grown a...
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| Format: | Book |
| Language: | English |
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Philadelphia :
Society for Industrial and Applied Mathematics,
[2023].
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| Edition: | Second edition. |
| Subjects: |
| Summary: | Optimization is presented in most multivariable calculus courses as an application of the gradient, and while this treatment makes sense for a calculus course, there is much more to the theory of optimization. Optimization problems are generated constantly, and the theory of optimization has grown and developed in response to the challenges presented by these problems. This textbook aims to show readers how optimization is done in practice and help them to develop an appreciation for the richness of the theory behind the practice, incorporates exercises, problems (including modeling and computational problems) and implementations throughout the text to help students learn by doing and inserts Python notes strategically to help readers complete computational problems and implementations. The Basics of Practical Optimization, second edition, is intended for undergraduates who have completed multivariable calculus, as well as anyone interested in optimization. It is appropriate for a course that complements or replaces a standard linear programming course. |
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| Physical Description: | xvii, 160 pages : illustrations (some color) ; 26 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781611977363 1611977363 |