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Exponential space complexity for OBDD-based reachability analysis

机译:基于OBDD的可达性分析的指数空间复杂度

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摘要

Ordered binary decision diagrams (OBDDs) are one of the most common dynamic data structures for Boolean functions. Nevertheless, many basic graph problems are known to be PSPACE-hard if their input graphs are represented by OBDDs. Computing the set of nodes that are reachable from some source s ∈ V in a digraph G = (V, E) is an important problem in computer-aided design, hardware verification, and model checking. Until now only exponential lower bounds on the space complexity of a restricted class of OBDD-based algorithms for the reachability problem have been known. Here, the result is extended by presenting an exponential lower bound for the general reachability problem. As a byproduct a general exponential lower bound is obtained for the computation of OBDDs representing all connected node pairs in a graph, the transitive closure.
机译:有序二进制决策图(OBDD)是布尔函数最常见的动态数据结构之一。但是,如果许多基本图形问题的输入图形由OBDD表示,则已知它们是PSPACE难题的。计算有向图G =(V,E)中从某些源s∈V可到达的节点集是计算机辅助设计,硬件验证和模型检查中的重要问题。到目前为止,对于可达性问题,只有有限类的基于OBDD的算法的空间复杂度的指数下界是已知的。在这里,通过为一般的可达性问题提供指数下界来扩展结果。作为副产品,获得通用指数下限用于计算表示图中所有连接节点对的OBDD,即传递闭包。

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