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A Scalable Algorithm for Minimal Unsatisfiable Core Extraction

机译:一种可扩展算法,用于最小不可挑例的核心提取

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We propose a new algorithm for minimal unsatisfiable core extraction, based on a deeper exploration of resolution-refutation properties. We provide experimental results on formal verification benchmarks confirming that our algorithm finds smaller cores than suboptimal algorithms; and that it runs faster than those algorithms that guarantee minimality of the core. (A more complete version of this paper may be found at arXiv.org/pdf/cs.LO/0605085.)
机译:我们提出了一种新的算法,以基于对分辨率驳回性质的更深探索来实现最小的不可挑选的核心提取。我们在确认我们的算法找到比次优算法的算法找到较小的核心的正式验证基准,提供实验结果;并且它比那些保证核心最小地的算法运行得更快。 (可以在Arxiv.org/pdf/cs.lo/0605085上找到本文的更完整版本。)

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