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Automatic Algorithm Selection for Complex Simulation Problems - Softcover

 
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To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation.

 

Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods.

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  • PublisherVieweg+Teubner Verlag
  • Publication date2011
  • ISBN 10 383481542X
  • ISBN 13 9783834815422
  • BindingPaperback
  • LanguageEnglish
  • Number of pages403

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Ewald, Roland
Published by Vieweg+Teubner Verlag, 2011
ISBN 10: 383481542X ISBN 13: 9783834815422
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Roland Ewald
Published by Vieweg+Teubner Verlag, 2011
ISBN 10: 383481542X ISBN 13: 9783834815422
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Condition: Gut. Zustand: Gut - Neubindung, Buchschnitt leicht verkürzt, Buchrücken fehlerhaft geklebt , Seite beschädigt, 1. Auflage 2012 | Seiten: 404 | Sprache: Englisch | Produktart: Sonstiges. Seller Inventory # 10330101/13

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Ewald, Roland
Published by Vieweg+Teubner Verlag, 2011
ISBN 10: 383481542X ISBN 13: 9783834815422
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Ewald, Roland
Published by Springer 2011-11, 2011
ISBN 10: 383481542X ISBN 13: 9783834815422
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ISBN 10: 383481542X ISBN 13: 9783834815422
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Published by Vieweg+Teubner Nov 2011, 2011
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation. Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods. 382 pp. Englisch. Seller Inventory # 9783834815422

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ISBN 10: 383481542X ISBN 13: 9783834815422
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation. Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods. Seller Inventory # 9783834815422

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An aut. Seller Inventory # 5379589

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ISBN 10: 383481542X ISBN 13: 9783834815422
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