
In this paper, we develop a new method for sensitivity analysis of discrete event dynamic systems. The method is based on the observation that event lists under nominal system parameters can be shared by simulations with slightly perturbed parameters. Thus the simulation on different system configurations may be more efficient. The resulting algorithm is exact for Markovian systems, and approximate for non-Markovian systems. Experimental results are given to study the new algorithms.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
