Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, 2015
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Publicado por Imperial College Press, 2015
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Publicado por Imperial College Press, London, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Añadir al carritoHardcover. Condición: new. Hardcover. Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they can be computationally expensive with evaluation time for a single design as long as hours, days or even weeks. Simulation-driven design using conventional optimization techniques may be therefore prohibitive.This book explores the alternative: performing computationally efficient design using surrogate-based optimization, where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation: a surrogate. The emphasis is on physics-based surrogates. Application-wise, the focus is on aerodynamics and the methods and techniques described in the book are demonstrated using aerodynamic shape optimization cases. Applications in other engineering fields are also demonstrated.State-of-the-art techniques and a depth of coverage never published before make this a unique and essential book for all researchers working in aerospace and other engineering areas and dealing with optimization, computationally expensive design problems, and simulation-driven design. Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
Idioma: Inglés
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Publicado por Imperial College Press, GB, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
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Añadir al carritoHardback. Condición: New. Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they can be computationally expensive with evaluation time for a single design as long as hours, days or even weeks. Simulation-driven design using conventional optimization techniques may be therefore prohibitive.This book explores the alternative: performing computationally efficient design using surrogate-based optimization, where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation: a surrogate. The emphasis is on physics-based surrogates. Application-wise, the focus is on aerodynamics and the methods and techniques described in the book are demonstrated using aerodynamic shape optimization cases. Applications in other engineering fields are also demonstrated.State-of-the-art techniques and a depth of coverage never published before make this a unique and essential book for all researchers working in aerospace and other engineering areas and dealing with optimization, computationally expensive design problems, and simulation-driven design.
Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
Idioma: Inglés
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Publicado por Imperial College Press, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
Idioma: Inglés
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Publicado por Imperial College Press, GB, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
Idioma: Inglés
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Añadir al carritoHardback. Condición: New. Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they can be computationally expensive with evaluation time for a single design as long as hours, days or even weeks. Simulation-driven design using conventional optimization techniques may be therefore prohibitive.This book explores the alternative: performing computationally efficient design using surrogate-based optimization, where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation: a surrogate. The emphasis is on physics-based surrogates. Application-wise, the focus is on aerodynamics and the methods and techniques described in the book are demonstrated using aerodynamic shape optimization cases. Applications in other engineering fields are also demonstrated.State-of-the-art techniques and a depth of coverage never published before make this a unique and essential book for all researchers working in aerospace and other engineering areas and dealing with optimization, computationally expensive design problems, and simulation-driven design.
Publicado por Imperial College Press, London, 2015
ISBN 10: 1783266287 ISBN 13: 9781783266289
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
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Añadir al carritoHardcover. Condición: new. Hardcover. Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they can be computationally expensive with evaluation time for a single design as long as hours, days or even weeks. Simulation-driven design using conventional optimization techniques may be therefore prohibitive.This book explores the alternative: performing computationally efficient design using surrogate-based optimization, where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation: a surrogate. The emphasis is on physics-based surrogates. Application-wise, the focus is on aerodynamics and the methods and techniques described in the book are demonstrated using aerodynamic shape optimization cases. Applications in other engineering fields are also demonstrated.State-of-the-art techniques and a depth of coverage never published before make this a unique and essential book for all researchers working in aerospace and other engineering areas and dealing with optimization, computationally expensive design problems, and simulation-driven design. Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering.KlappentextrnrnComputer simulations is a fundamental tool of the design process in many engineering disciplines .
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they can be computationally expensive with evaluation time for a single design as long as hours, days or even weeks. Simulation-driven design using conventional optimization techniques may be therefore prohibitive.This book explores the alternative: performing computationally efficient design using surrogate-based optimization, where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation: a surrogate. The emphasis is on physics-based surrogates. Application-wise, the focus is on aerodynamics and the methods and techniques described in the book are demonstrated using aerodynamic shape optimization cases. Applications in other engineering fields are also demonstrated.State-of-the-art techniques and a depth of coverage never published before make this a unique and essential book for all researchers working in aerospace and other engineering areas and dealing with optimization, computationally expensive design problems, and simulation-driven design.