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portada Optimization in Engineering: Models and Algorithms
Type
Physical Book
Publisher
Language
English
Pages
412
Format
Hardcover
Dimensions
23.9 x 15.7 x 2.8 cm
Weight
0.79 kg.
ISBN13
9783319567679

Optimization in Engineering: Models and Algorithms

Antonio J. Conejo (Author) · Ramteen Sioshansi (Author) · Springer · Hardcover

Optimization in Engineering: Models and Algorithms - Sioshansi, Ramteen ; Conejo, Antonio J.

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Synopsis "Optimization in Engineering: Models and Algorithms"

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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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