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Optimization in Engineering : Models and Algorithms (Hardcover) (Ramteen Sioshansi & Antonio J. Conejo)

Optimization in Engineering : Models and Algorithms (Hardcover) (Ramteen Sioshansi & Antonio J. Conejo) - image 1 of 1

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This textbookcovers 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.

Number of Pages: 412
Genre: Mathematics, Technology
Series Title: Springer Optimization and Its Applications
Format: Hardcover
Publisher: Springer Verlag
Author: Ramteen Sioshansi & Antonio J. Conejo
Language: English
Street Date: July 3, 2017
TCIN: 52944542
UPC: 9783319567679
Item Number (DPCI): 248-50-0548

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