Optimization for Engineering Problems (PDF)
(Sprache: Englisch)
Optimization is central to any problem involving decision-making in engineering. Optimization theory and methods deal with selecting the best option regarding the given objective function or performance index. New algorithmic and theoretical techniques have...
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Optimization is central to any problem involving decision-making in engineering. Optimization theory and methods deal with selecting the best option regarding the given objective function or performance index. New algorithmic and theoretical techniques have been developed for this purpose, and have rapidly diffused into other disciplines. As a result, our knowledge of all aspects of the field has grown even more profound.
In Optimization for Engineering Problems, eminent researchers in the field present the latest knowledge and techniques on the subject of optimization in engineering. Whereas the majority of work in this area focuses on other applications, this book applies advanced and algorithm-based optimization techniques specifically to problems in engineering.
In Optimization for Engineering Problems, eminent researchers in the field present the latest knowledge and techniques on the subject of optimization in engineering. Whereas the majority of work in this area focuses on other applications, this book applies advanced and algorithm-based optimization techniques specifically to problems in engineering.
Autoren-Porträt
Kaushik Kumar is Associate Professor in the Department of Mechanical Engineering at Birla Institute of Technology, Mesra, Ranchi, India. His research interests include quality management systems, optimization, unconventional machining, CAD/CAM, rapid prototyping and composites.J. Paulo Davim is Professor at the University of Aveiro, Portugal. His research interests include mechanical and industrial engineering.
Bibliographische Angaben
- 2019, 1. Auflage, 188 Seiten, Englisch
- Herausgegeben: Kaushik Kumar, J. Paulo Davim
- Verlag: John Wiley & Sons
- ISBN-10: 1119644607
- ISBN-13: 9781119644606
- Erscheinungsdatum: 10.07.2019
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- Größe: 7.14 MB
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