首页> 外文会议>IFIP TC10 WG10.5 International Conference on Very Large Scale Integration 26-30 August 1997, Gramado, RS, Brazil >An implicit formulation for exact BDD minimization of incompletely specified functions
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An implicit formulation for exact BDD minimization of incompletely specified functions

机译:精确地将不完全指定的函数的BDD最小化的隐式公式

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This paper addresses the problem of binary decision diagram (BDD) minimization in the presence of don't care sets. Specifically, given an incompletely specified function g and a fixed ordering of the variables, we propose an exact algorithm for selecting f such that f is a cover for g and the binary decision diagram for f is of minimum size. We proved that this problem is NP-complete. Here we show that the BDD minimization problem can be formulated as a binate covering problem and solved using implicit enumeration techniques similar to the ones used in the reduction of incompletely specified finite state machines.
机译:本文解决了在无须关注集的情况下二进制决策图(BDD)最小化的问题。具体来说,给定一个不完全指定的函数g和变量的固定顺序,我们提出了一种精确的算法来选择f,以使f是g的覆盖,而f的二元决策图的大小最小。我们证明了这个问题是NP完全的。在这里,我们证明了BDD最小化问题可以表述为二值覆盖问题,并且可以使用隐式枚举技术来解决,该隐式枚举技术与用于减少不完全指定的有限状态机的技术相似。

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