000 02473nam a22003495i 4500
001 308942
003 MX-SnUAN
005 20160429160237.0
007 cr nn 008mamaa
008 150903s2012 gw | o |||| 0|eng d
020 _a9783834881519
_99783834881519
024 7 _a10.1007/9783834881519
_2doi
035 _avtls000363308
039 9 _a201509031023
_bVLOAD
_c201405070342
_dVLOAD
_y201402211143
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA75.5-76.95
100 1 _aEwald, Roland.
_eautor
_9349023
245 1 0 _aAutomatic Algorithm Selection for Complex Simulation Problems /
_cby Roland Ewald.
264 1 _aWiesbaden :
_bVieweg+Teubner Verlag,
_c2012.
300 _axxI, 382 páginas 101 ilustraciones, 20 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
520 _aTo 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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783834815422
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-8348-8151-9
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c308942
_d308942