Advances and Trends in Optimization with Engineering Applications

Advances and Trends in Optimization with Engineering Applications

AngličtinaPevná vazba
Terlaky Tamas
Society for Industrial & Applied Mathematics,U.S.
EAN: 9781611974676
Na objednávku
Předpokládané dodání v pondělí, 10. srpna 2026
3 244 Kč
Běžná cena: 3 604 Kč
Sleva 10 %
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Podrobné informace

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.
EAN 9781611974676
ISBN 1611974674
Typ produktu Pevná vazba
Vydavatel Society for Industrial & Applied Mathematics,U.S.
Datum vydání 30. června 2017
Stránky 690
Jazyk English
Rozměry 229 x 152
Země United States
Sekce General
Autoři Ahmed, Shabbir; Anjos Miguel F.; Terlaky Tamas
Série MOS-SIAM Series on Optimization
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