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Optimization in Engineering

Models and Algorithms

Ramteen Sioshansi, Antonio J Conejo
Livre relié | Anglais | Springer Optimization and Its Applications | n° 120
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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.

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Auteur(s) :
Editeur:

Contenu

Nombre de pages :
412
Langue:
Anglais
Collection :
Tome:
n° 120

Caractéristiques

EAN:
9783319567679
Date de parution :
03-07-17
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
157 mm x 239 mm
Poids :
793 g

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