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Simplification of Single-Output Boolean Functions by Exact Direct Cover Algorithm Based on Cube Algebra

机译:基于多维数据集代数的精确直接覆盖算法简化单输出布尔函数

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Due to the nature of the exact two-level Boolean functions minimization methods most of practical applications rely on heuristic ones that are generally realized by a three step cyclic algorithm. First, the algorithm selects an On-minterm and it generates the set of prime implicants for this On-minterm; second, it determinates the essential prime implicant from among the generated prime implicants; and third, it performs a covering operation. The goal of this study, if the determination of the essential prime implicant is impossible, postponed the selection of essential prime implicant for this On-minterm and save it for a status word. When a new essential prime implicant determined, retrieve the status word. The proposed minimization algorithm is tested on several different kinds of problems and on standard MCNC benchmarks results of which are compared with ESPRESSO. The results show that proposed algorithm obtains exact results and faster than ESPRESSO.
机译:由于精确的两级布尔函数的性质最小化方法大多数实际应用依赖于一般通过三步循环算法实现的启发式。首先,该算法选择on-minterm,它为此生成该组的in-minterm;其次,它决定了生成的主要血液中的基本主要血管;第三,它执行覆盖操作。本研究的目标是,如果不可能确定基本的主要血管,则推迟为此on-minterm选择基本的主要血管性并将其保存为状态字。当确定新的基本素屏幕时,检索状态字。所提出的最小化算法在几种不同类型的问题和标准MCNC基准测试中测试,其与浓缩咖啡相比。结果表明,所提出的算法获得精确的结果,比浓缩咖啡更快。

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