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arXiv 1312.3979cs.SE
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加速参数概率验证

Accelerating Parametric Probabilistic Verification

Nils Jansen, Florian Corzilius, Matthias Volk, Ralf Wimmer, Erika Ábrahám, Joost-Pieter Katoen, Bernd Becker

摘要:

提出了一种计算参数离散马尔可夫链可达概率的新方法,该链的转移概率是一组参数上多项式的分数。我们的算法是基于两个关键成分:一个图分解成强连通子图结合一个新的多项式分解策略。实验评估表明,这些方法可以导致几个数量级的速度相比,现有的方法

英文摘要:

We present a novel method for computing reachability probabilities of parametric discrete-time Markov chains whose transition probabilities are fractions of polynomials over a set of parameters. Our algorithm is based on two key ingredients: a graph decomposition into strongly connected subgraphs combined with a novel factorization strategy for polynomials. Experimental evaluations show that these approaches can lead to a speed-up of up to several orders of magnitude in comparison to existing approaches

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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