Automatic Algorithm Selection for Complex Simulation Problems - Tapa blanda

Ewald, Roland

 
9783834815422: Automatic Algorithm Selection for Complex Simulation Problems
Tapa blanda
ISBN 10: 383481542X ISBN 13: 9783834815422
Editorial: Vieweg+Teubner Verlag, 2011

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Vieweg+Teubner Verlag
Año de publicación
2011
Idioma
Inglés
ISBN 10 
383481542X
ISBN 13 
9783834815422
Encuadernación
Tapa blanda
Número de páginas
404
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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