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基于ZBDD的布尔多项式Grbner基算法的实现 被引量:1

IMPLEMENTING ZBDD-BASED GRBNER BASIS ALGORITHM OF BOOLEAN POLYNOMIALS
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摘要 零压缩二元判定树ZBDD(Zero-suppressed Binary Decision Diagrams)作为一种近年来兴起的存储布尔多项式的数据结构能更有效地平衡内存消耗与计算速度;基于它的布尔多项式Grbner基算法可以在运算中保持ZBDD结构的不变性从而进一步提高计算效率。用C++实现了布尔多项式的Grbner基计算并对其进行既约化处理,验证了该算法的可行性以及在运算效率上的提高。 As a rising data structure storing Boolean polynomial in recent years,ZBDD(zero suppressed binary decision diagram) enables more efficient computing speed and more balanced memory consumption.The Grbner basis algorithm of Boolean polynomial based on it can maintain ZBDD structure unchanged so as to further enhance the efficiency of computations.In this paper,we use C + + to achieve the Boolean polynomials Grbner-basis computation with the irreducibility processing on Grbner basis,and the feasibility of the algorithm as well as the improvement on efficiency of the operations are verified as well.
作者 李昕 张寅
出处 《计算机应用与软件》 CSCD 2011年第2期274-276,共3页 Computer Applications and Software
基金 中国矿业大学青年科研基金项目(2007A039)
关键词 ZBDD Grbner基 ZBDD Grbner basis
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参考文献4

  • 1Michael Brlckenstoin,Alexander Dreyer.PolyBoRi:A framework for Gr(O)bner basis computations with Boolean polynomials[J].Journal of Symbdic Computation,2009,44(9):1326-1345.
  • 2Bruno Buchberger.Gr(O)bner Bases:A Short Introduction for Systems Theorists[J].Computer Aided Systems Theory.EUROCAST 2001.
  • 3Shin-ichi Minato.Implicit Manipulation of Polynomials Using Zero-Sup-pressed BDDs.1066-1409/95,1995 IEEE.
  • 4JeanCharles Fougere.A new efficient algorithmfor computing Gr(o)bner bases without reduction to zero(F5)[C].mternatiral Comfereme on Symbolic and Aigerbraic Compution,2002:75-83.

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