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  • 标题:An Adequate Reducibility Concept for Problems Defined in Terms of Ordered Binary Decision Diagrams
  • 本地全文:下载
  • 作者:Christoph Meinel ; Anna Slobodova
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:1996
  • 卷号:1996
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:Reducibility concepts are fundamental in complexity theory. Usually, they are defined as follows: A problem P is reducible to a problem S if P can be computed using a program or device for S as a subroutine. However, this approach has its limitations if restricted computational models are considered. In the case of ordered binary decision diagrams (OBDDs), it allows merely to use the almost unmodified original program for the subroutine. Here we propose a new reducibility concept for OBDDs: We say that P is reducible to S if an OBDD for P can be constructed by applying a sequence of elementary operations to an OBDD for S. In contrast to traditional reducibility notions, the newly introduced reduction is able to reflect the real needs of a reducibility concept in the context of OBDD-based complexity classes: it allows to reduce those problems to each other which are computable with the same amount of OBDD-resources and it gives a tool to carry over lower and upper bounds.
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