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On Complexity of Regular (1+k) -Branching Programs

机译:常规(1 + k)分支程序的复杂性

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A regular (1+k) -branching program ((1+k) -ReBP) is an ordinary branching program with the following restrictions: (i) along every consistent path at most k variables are tested more than once, (ii) for each node v on all paths from the source to v the same set X(v)X of variables is tested, and (iii) on each path from the source to a sink all variables X are tested. We show that polynomial size (1+1) -ReBP-s are more powerful than polynomial size read-once branching programs and that polynomial size (1+(k+1)) -ReBP-s are more powerful than polynomial size (1+k) -ReBP-s. We prove lower bound 2(n?k)2?klog(n2k)2n for k=o(n2) on the size of any nondeterministic (1+k) -ReBP computing permutation function PERMn2 on n2 arguments. The proof is based on combination of decomposing of (1+k) -ReBP with communication complexity technique.
机译:常规(1 + k)-分支程序((1 + k)-ReBP)是具有以下限制的普通分支程序:(i)沿每个一致的路径最多对k个变量进行多次测试,(ii)测试从源到源的所有路径上的每个节点v到变量x的同一集合X(v)X,以及(iii)从源到源的每个路径上的所有变量X都经过测试。我们证明了多项式大小(1 + 1)-ReBP-s比多项式大小一次读取分支程序更强大,并且多项式大小(1+(k + 1))-ReBP-s比多项式大小(1 + k)-ReBP-s。我们证明k = o(n2)的下界2(n?k)2?klog(n2k)2n关于任何不确定的(1 + k)-ReBP计算n2自变量的置换函数PERMn2的大小。证明是基于(1 + k)-ReBP分解与通信复杂度技术的结合。

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