Titlebook: Automatic Algorithm Selection for Complex Simulation Problems; Roland Ewald Book 2012 Vieweg+Teubner Verlag | Springer Fachmedien Wiesbade

泰然自若

碌碌之人

和平主义

傲慢物

George Champine,Steve Lerman,Jerome Saltzerental importance of the problem in many fields of computer science, another one the divergence between theoretical research and practical implementations in the various application areas: . [96, p. 297].

DRAFT

Das ,ristische ,teratur,rchiv JULIAng the performance of simulation algorithms (ch. 3). This part tackles the central issue of the thesis, namely the automatic selection of simulation algorithms. It mainly treats the construction of a prototypical simulation algorithm selection framework for the modeling and simulation framework JAME

Bereavement

相符

ZEST

Gabler Kompakt-Lexikon Personal briefly outlining how these challenges are currently met by the experimentation layer of JAMES II (sec. 7.1). Section 7.2 introduces a simple yet powerful algorithm selection technique that can be plugged into the experimentation layer. It both explores and exploits algorithm performance at the pro

abreast

https://doi.org/10.1007/978-3-663-10125-3prototypical extension of the JAMES II registry, so that automated algorithm selection is supported in a way that does not affect the existing code base. It describes the management and exploitation of the performance data analyses, as depicted in figure 8.1.

Intellectual

Maike Groen,Nina Kiel,André Weßelssed briefly in section 1.3.1 (p. 7). JAMES II offers several kinds of simulators for the field of computational systems biology (see [308]). Some of them–e.g., those for models expressed in stochastic π-calculus [200]–rely on SSA implementations as well. At the same time, the performance of differe