Optimization in Engineering: Models and Algorithms

di Ramteen Sioshansi (Autore)

Antonio J. Conejo (Autore)

Springer International Publishing AG, 2018

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.

• Autore: Ramteen Sioshansi, Antonio J. Conejo
• Editore: Springer International Publishing AG
• Collana: Springer Optimization and Its Applications
• Anno: 2018
• Rilegatura: Paperback / softback
• Pagine: 412 p.
• Dimensioni: 235 x 155 mm
• Peso: 652 gr.
• EAN: 9783319859965

Testo in English