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Reduced Error Pruning of branching programs cannot be approximated to within a logarithmic factor

机译:分支程序的减少的错误删减不能近似于对数因子之内

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摘要

In this paper, we prove under a plausible complexity hypothesis that Reduced Error Pruning of branching programs is hard to approximate within log~(1-δ) n, for every δ > 0, where n is the number of description variables, a measure of the problem's complexity. The result holds under the assumption that NP problems do not admit deterministic, slightly superpolynomial time algorithms: NP ¢ TIME(|I|~(O(loglog|I|))). This improves on a previous result that only had a small constant inapproximability ratio, and puts a fairly strong constraint on the efficiency of potential approximation algorithms. The result also holds for read-once and μ-branching programs.
机译:在本文中,我们证明了在合理的复杂性假设下,对于每个δ> 0,在log〜(1-δ)n内很难估计分支程序的减少错误修剪,其中n是描述变量的数量,问题的复杂性。在假设NP问题不接受确定性的,稍微超多项式的时间算法的假设下,得出结果:NP TIME TIME(| I |〜(O(loglog | I |)))。这是对先前的结果的改进,该结果仅具有较小的恒定不可逼近率,并且对潜在逼近算法的效率施加了相当强的约束。结果也适用于一次读取和μ分支程序。

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