Optimization in Engineering : Models and Algorithms Paperback / softback
by Ramteen Sioshansi, Antonio J. Conejo
Part of the Springer Optimization and Its Applications series
Paperback / softback
Description
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.
Information
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Out of stock
- Format:Paperback / softback
- Pages:412 pages, 26 Illustrations, color; 45 Illustrations, black and white; XV, 412 p. 71 illus., 26 illu
- Publisher:Springer International Publishing AG
- Publication Date:10/08/2018
- Category:
- ISBN:9783319859965
Other Formats
- Hardback from £53.95
Information
-
Out of stock
- Format:Paperback / softback
- Pages:412 pages, 26 Illustrations, color; 45 Illustrations, black and white; XV, 412 p. 71 illus., 26 illu
- Publisher:Springer International Publishing AG
- Publication Date:10/08/2018
- Category:
- ISBN:9783319859965
