Optimization in Engineering - Models and Algorithms (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Optimization and Its Applications, 120
Release date:	August 2018
First published:	2017
Authors:	Ramteen Sioshansi • Antonio J. Conejo
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	412
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-85996-5
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
LSN:	3-319-85996-X
Barcode:	9783319859965

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