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Advances and Trends in Optimization with Engineering Applications

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Edited by Tamás Terlaky, Miguel F. Anjos, and Shabbir Ahmed


2017 / xxxiv + 696 pages / Hardcover / ISBN 978-1-611974-67-6 / List Price $99.00 / SIAM Member Price $69.30 / Order Code: MO24

Keywords: Linear, nonlinear, and conic optimization; robust and stochastic optimization; derivative-free methodologies; supply chain design; deterministic global optimization


Optimization is of critical importance in engineering. Engineers constantly strive for the best possible solutions, the most economical use of limited resources, and the greatest efficiency. As system complexity increases, these goals mandate the use of state-of-the-art optimization techniques.

In recent years the theory and methodology of optimization have seen revolutionary improvements. Moreover, the exponential growth in computational power, along with the availability of multicore computing with virtually unlimited memory and storage capacity, has fundamentally changed what engineers can do to optimize their designs. This is a two-way process: engineers benefit from developments in optimization methodology, and challenging new classes of optimization problems arise from novel engineering applications.

Advances and Trends in Optimization with Engineering Applications reviews 10 major areas of optimization and related engineering applications in a distinct part, providing a broad summary of state-of-the-art optimization techniques most important to engineering practice. Each part provides a clear overview of a specific area, followed by chapters detailing applications to a wide range of real-world problems.

The book provides a solid foundation for engineers and mathematical optimizers alike who want to understand not only the importance of optimization methods to engineering but also the capabilities of current methods.

This book will be of interest to doctoral students, recent graduates, experienced researchers, and practitioners in engineering, optimization, and operations research.

About the Author
Tamás Terlaky is a professor in the Department of Industrial and Systems Engineering, Lehigh University.

Miguel F. Anjos is professor in the Department of Mathematics and Industrial Engineering, Polytechnique Montréal.

Shabbir Ahmed is a professor in the School of Industrial and Systems Engineering, Georgia Institute of Technology.

ISBN 9781611974676

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