Automatic Algorithm Selection for Complex Simulation Problems
Ewald, Roland
ISBN 10: 383481542X ISBN 13: 9783834815422
Editorial: Vieweg+Teubner Verlag, 2011
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Descripción:
Wie neu/Like new. N° de ref. del artículo M0383481542X-N
Sinopsis:
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.
De la contraportada:
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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Título: Automatic Algorithm Selection for Complex ...
Editorial: Vieweg+Teubner Verlag
Año de publicación: 2011
Encuadernación: Encuadernación de tapa blanda
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Automatic Algorithm Selection for Complex Simulation Problems
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Vieweg+Teubner Verlag, 2011
ISBN 10: 383481542X
ISBN 13: 9783834815422
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ISBN 10: 383481542X
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Condición: 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. Nº de ref. del artículo: 5379589
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Automatic Algorithm Selection for Complex Simulation Problems
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Taschenbuch. Condición: Neu. Automatic Algorithm Selection for Complex Simulation Problems | Roland Ewald | Taschenbuch | xxi | Englisch | 2011 | Vieweg & Teubner | EAN 9783834815422 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 107104513
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Automatic Algorithm Selection for Complex Simulation Problems
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ISBN 13: 9783834815422
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Taschenbuch. Condición: Neu. 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.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 404 pp. Englisch. Nº de ref. del artículo: 9783834815422
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Automatic Algorithm Selection for Complex Simulation Problems
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ISBN 10: 383481542X
ISBN 13: 9783834815422
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783834815422
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Automatic Algorithm Selection for Complex Simulation Problems
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ISBN 10: 383481542X
ISBN 13: 9783834815422
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783834815422
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Automatic Algorithm Selection for Complex Simulation Problems
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ISBN 10: 383481542X
ISBN 13: 9783834815422
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