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SETH-hardness of Coding Problems

机译:SETH编码问题的难度

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We show that assuming the strong exponential-time hypothesis (SETH), there are no non-trivial algorithms for the nearest codeword problem (NCP), the minimum distance problem (MDP), or the nearest codeword problem with preprocessing (NCPP) on linear codes over any finite field. More precisely, we show that there are no NCP, MDP, or NCPP algorithms running in time q (1 ? ) n for any constant 0" 0 for codes with q n codewords. (In the case of NCPP, we assume non-uniform SETH.)We also show that there are no sub-exponential-time algorithms for -approximate versions of these problems for some constant 1" 1 , under different versions of the exponential-time hypothesis.
机译:我们证明,假设采用强指数时间假设(SETH),则对于线性上的最近码字问题(NCP),最小距离问题(MDP)或带有预处理的最近码字问题(NCPP),没有不平凡的算法在任何有限域上编码。更准确地说,我们证明对于带有qn个码字的代码,对于任何常数0“> 0,在时间q(1?)n上都没有运行NCP,MDP或NCPP算法(对于NCPP,我们假设不均匀)我们还表明,对于指数常数假设的不同版本,对于某些常数1> 1的这些问题的近似版本,没有亚指数时间算法。

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