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On the Descriptive and Algorithmic power of Parity Ordered Binary Decision Diagrams

机译:关于奇偶校验有序二进制决策图的描述性和算法功率

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We present a data structure for Boolean functions, which we call Parity-OBDDs or POBDDs, which combines the nice algorithmic properties of the well-known ordered binary decision diagrams (OBDDs) with a considerably larger descriptive power. Beginning from an algebraic characterization of the POBDD-complexity we prove in particular that the minimization of the number of nodes, the synthesis, and the equivalence test for POBDDs, which are the fundamental operations for circuit verification, have efficient deterministic solutions. Several functions of pratical interest, i.e. the storage access function, have exponential ODBB-size but are of polynomial size if POBDDs are used.
机译:我们为布尔函数提出了一种数据结构,我们调用奇偶型OBDDS或POBDDS,其将众所周知的有序二进制决策图(OBDD)的良好算法属性相结合,具有相当大的描述性功率。从POBDD复杂性的代数表征开始,我们尤其证明了节点的数量,合成和POBDD等当量测试的最小化,这是电路验证的基本操作,具有有效的确定性解决方案。如果使用POBDDS,则存储访问函数的几个实际兴趣的功能,即存储访问功能,但具有多项式大小。

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