Springer Optimization and Its Applications: Models and Algorithms

Sioshansi, Ramteen; Conejo, Antonio J.

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.

Details

Published by: Springer

Publication Date: 2018-08-10

Format: Paperback

ISBN-13: 9783319859965

DOI: 10.1007/978-3-319-56769-3

Dimensions: 235cm x155cm

Pages: 412