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Synopsis
Introduction.- Simulation-Driven Design.- Fundamentals of Numerical Optimization.- Introduction to Surrogate-Based Modeling and Surrogate-Based Optimization.- Design Optimization Using Response Correction Techniques.- Surrogate-Based Optimization Using Parametric Response Correction.- Non-Parametric Response Correction Techniques.- Expedited Simulation-Driven Optimization Using Adaptively Adjusted Design Specification.- Surrogate-Assisted Design Optimization Using Response Features.- Enhancing Response Correction Techniques by Adjoint Sensitivity.- Multi-Objective Optimization Using Variable-Fidelity Models and Response Correction.- Physics-Base Surrogate Models Using Response Correction.- Summary and Discussion.- References.
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
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Springer International Publishing, 2016
ISBN 10 : 3319301136
ISBN 13 : 9783319301136
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 276 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 26474432/12
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques. By Slawomir Koziel, Leifur Leifsson.
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Cham, Springer International Publishing : Imprint: Springer., 2016
ISBN 10 : 3319301136
ISBN 13 : 9783319301136
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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1st ed. 2016. XI, 266 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Online access with purchase: Springer. Sprache: Englisch. N° de réf. du vendeur 44014HB
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
Edité par
Springer International Publishing, 2016
ISBN 10 : 3319301136
ISBN 13 : 9783319301136
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Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focused on efficient simulation-driven multi-fidelity optimization techniques Presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model resp. N° de réf. du vendeur 117040800
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
Edité par
Springer International Publishing, 2016
ISBN 10 : 3319301136
ISBN 13 : 9783319301136
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Focused on efficient simulation-driven multi-fidelity optimization techniques, thismonograph on simulation-driven optimizationcovers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such as analytical models. The methods presented in the book exploit as much as possible any knowledge about the system or device of interest embedded in the low-fidelity model with the purpose of reducing the computational overhead of the design process. Most of the techniques described in the book are of response correction type and can be split into parametric (usually based on analytical formulas) and non-parametric, i.e., not based on analytical formulas. The latter, while more complex in implementation, tend to be more efficient.The book presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model response (output space mapping, manifold mapping, adaptive response correction and shape-preserving response prediction), as well as on suitable modification of design specifications. Detailed formulations, application examples and the discussion of advantages and disadvantages of these techniques are also included. The book demonstrates the use of the discussed techniques for solving real-world engineering design problems, including applications in microwave engineering, antenna design, and aero/hydrodynamics. N° de réf. du vendeur 9783319301136
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
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Springer International Publishing Mai 2016, 2016
ISBN 10 : 3319301136
ISBN 13 : 9783319301136
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Focused on efficient simulation-driven multi-fidelity optimization techniques, thismonograph on simulation-driven optimizationcovers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such as analytical models. The methods presented in the book exploit as much as possible any knowledge about the system or device of interest embedded in the low-fidelity model with the purpose of reducing the computational overhead of the design process. Most of the techniques described in the book are of response correction type and can be split into parametric (usually based on analytical formulas) and non-parametric, i.e., not based on analytical formulas. The latter, while more complex in implementation, tend to be more efficient.The book presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model response (output space mapping, manifold mapping, adaptive response correction and shape-preserving response prediction), as well as on suitable modification of design specifications. Detailed formulations, application examples and the discussion of advantages and disadvantages of these techniques are also included. The book demonstrates the use of the discussed techniques for solving real-world engineering design problems, including applications in microwave engineering, antenna design, and aero/hydrodynamics. 276 pp. Englisch. N° de réf. du vendeur 9783319301136
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
ISBN 10 : 3319301136
ISBN 13 : 9783319301136
Neuf
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on simulation-driven optimization covers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such as analytical models. The methods presented in the book exploit as much as possible any knowledge about the system or device of interest embedded in the low-fidelity model with the purpose of reducing the computational overhead of the design process. Most of the techniques described in the book are of response correction type and can be split into parametric (usually based on analytical formulas) and non-parametric, i.e., not based on analytical formulas. The latter, while more complex in implementation, tend to be more efficient.The book presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model response (output space mapping, manifold mapping, adaptive response correction and shape-preserving response prediction), as well as on suitable modification of design specifications. Detailed formulations, application examples and the discussion of advantages and disadvantages of these techniques are also included. The book demonstrates the use of the discussed techniques for solving real-world engineering design problems, including applications in microwave engineering, antenna design, and aero/hydrodynamics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch. N° de réf. du vendeur 9783319301136
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
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Simulation-Driven Design by Knowledge-Based Response Correction Techniques
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