Optimization in Engineering

Models and Algorithms

von Ramteen Sioshansi, Antonio J. Conejo

412 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Springer Optimization and Its Applications
• Themen: Mathematik und Naturwissenschaften Mathematik Optimierung
• ISBN: 9783319859965
• Sprache: Englisch
• Erscheinungsdatum: 10.08.2018
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing