Optimization in Engineering: Models and Algorithms 2017 Edition Contributor(s): Sioshansi, Ramteen (Author), Conejo, Antonio J. (Author) |
|
![]() |
ISBN: 3319567675 ISBN-13: 9783319567679 Publisher: Springer OUR PRICE: $94.99 Product Type: Hardcover - Other Formats Published: July 2017 |
Additional Information |
BISAC Categories: - Mathematics | Applied - Technology & Engineering | Industrial Engineering - Mathematics | Probability & Statistics - General |
Dewey: 519.6 |
Series: Springer Optimization and Its Applications |
Physical Information: 1.1" H x 6.2" W x 9.4" (1.75 lbs) 412 pages |
Descriptions, Reviews, Etc. |
Publisher 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. |