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Efficient ordered binary decision diagrams minimization based onheuristics of cover pattern processing

机译:基于覆盖模式处理启发式算法的高效有序二元决策图最小化

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A metric of dynamic binateness for Boolean functions isnintroduced. Based on it and on an analogy between an ordered binaryndecision diagram (OBDD) of a function and the process of recognizingnstrings of patterns representing the function's cover, a near linear,nefficient ordering heuristic for two-level form specified functions isndeveloped. The algorithm stably achieves on average an improvement ofnover 600% in OBDD size in comparison to results from similar computationncomplexity heuristics. The results are comparable to those obtainednusing lexicographic order but are achieved in less CPU time
机译:引入了布尔函数的动态二值性度量。在此基础上,并基于一个函数的有序二元决策图(OBDD)与识别表示该函数的封面的模式字符串的过程之间的类比,开发了一种用于两级形式指定函数的近似线性,低效率的排序试探法。与类似的计算复杂性启发式算法的结果相比,该算法平均稳定地将OBDD大小提高了600%以上。结果与按字典顺序获得的结果可比,但是可在更少的CPU时间中实现

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