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Optimization in Engineering : Models and Algorithms.
・ISBN 978-3-319-56767-9 hard EUR 84.99
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| 著者・編者 | Sioshansi, Ramteen / Conejo, A. J., |
|---|---|
| シリーズ | Springer Optimization and Its Applications |
| 出版社 | (Springer, GW) |
| 出版年月 | 2017 |
| ページ数 | 413 pp. |
| 言語 | ENG |
| ニュース番号 | ＜640-L367 640-P873＞ |
解説
This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems.
The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.