Simple and fast approximations for generalized stochastic Petri nets

A primary problem with generalized stochastic Petri nets (GSPNs) is the exponential explosion in the number of reachable states. This limits the GSPN modeling capability. We present an algorithm that circumvents the problem by not enumerating the entire state space to find a solution. Instead, it co...

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Veröffentlicht in:	The Journal of systems and software 1993-05, Vol.21 (2), p.163-177
Hauptverfasser:	von Mayrhauser, A., Dube, Deepak
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Approximation Computer programming Computer science control theory systems Control theory. Systems Exact sciences and technology Modelling and identification Stochastic models Studies Systems development
Online-Zugang:	Volltext
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