Optimization in Engineering

Models and Algorithms

Nonfiction, Science & Nature, Technology, Engineering, Industrial, Mathematics, Applied
Cover of the book Optimization in Engineering by Ramteen Sioshansi, Antonio J. Conejo, Springer International Publishing
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Author: Ramteen Sioshansi, Antonio J. Conejo ISBN: 9783319567693
Publisher: Springer International Publishing Publication: June 24, 2017
Imprint: Springer Language: English
Author: Ramteen Sioshansi, Antonio J. Conejo
ISBN: 9783319567693
Publisher: Springer International Publishing
Publication: June 24, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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