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  • 标题:The Complexity of Minimizing FBDDs
  • 本地全文:下载
  • 作者:Detlef Sieling
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:1999
  • 卷号:1999
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:Free Binary Decision Diagrams (FBDDs) or read-once branching programs are a data structure for Boolean functions. They can efficiently be manipulated if only FBDDs respecting a fixed graph ordering are considered. However, the size of such FBDDs may strongly depend on the chosen graph ordering. In this paper it is shown that the existence of polynomial time approximation schemes for optimizing graph orderings or for minimizing FBDDs implies NP=P, and so such algorithms are quite unlikely to exist. The same holds for the related problem of computing minimal size FBDDs that are consistent with a given set of examples. The latter result implies that size bounded FBDDs are not PAC-learnable unless NP=RP.
  • 关键词:approximation scheme, Free binary decision diagram, nonapproximability, PAC-learning, read-once branching program
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