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Ajouter au panierEtat : New. pp. 304.
Edité par CRC, 2016
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Ajouter au panierhardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Edité par Chapman and Hall/CRC 2005-10-14, 2005
ISBN 10 : 1584885467 ISBN 13 : 9781584885467
Langue: anglais
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Ajouter au panierEtat : New. Kai-Tai Fang, Runze Li, Agus SudjiantoComputer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires.
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Ajouter au panierEtat : New. pp. xii + 290 Index.
Edité par Taylor & Francis Ltd Jun 2020, 2020
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific theoretical/mathematical examinations of computer experiment design are available, those interested in applying proposed methodologies need a practical presentation and straightforward guidance on analyzing and interpreting experiment results.Written by authors with strong academic reputations and real-world practical experience, Design and Modeling for Computer Experiments is exactly the kind of treatment you need. The authors blend a sound, modern statistical approach with extensive engineering applications and clearly delineate the steps required to successfully model a problem and provide an analysis that will help find the solution. Part I introduces the design and modeling of computer experiments and the basic concepts used throughout the book. Part II focuses on the design of computer experiments. The authors present the most popular space-filling designs - like Latin hypercube sampling and its modifications and uniform design - including their definitions, properties, construction and related generating algorithms. Part III discusses the modeling of data from computer experiments. Here the authors present various modeling techniques and discuss model interpretation, including sensitivity analysis. An appendix reviews the statistics and mathematics concepts needed, and numerous examples clarify the techniques and their implementation.The complexity of real physical systems means that there is usually no simple analytic formula that sufficiently describes the phenomena. Useful both as a textbook and professional reference, this book presents the techniques you need to design and model computer experiments for practical problem solving.
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Ajouter au panierEtat : New. pp. xii + 290, Abbreviations.
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Ajouter au panierEtat : New. pp. xii + 290 Illus. This item is printed on demand.
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Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Kai-Tai Fang, Runze Li, Agus SudjiantoComputer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires.
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Ajouter au panierBuch. Etat : Neu. Design and Modeling for Computer Experiments | Kai-Tai Fang (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2005 | Chapman and Hall/CRC | EAN 9781584885467 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Taking a practical approach, Design and Modeling for Computer Experiments presents the most useful design and modeling methods for computer simulations used to study physical systems. The authors introduce the basic concepts of design as well as the concept of Latin hypercube sampling and its modifications. They cover uniform design, measures of uniformity, and their algebraic equations. They also provide various stochastic optimization techniques along with a variety of popular algorithms, such as simulated annealing, stochastic evolutionary, and threshold acceptance. The text includes discussions on special techniques for model interpretation, including generalized ANOVA and the Fourier Amplitude Sensitivity Test.