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  • 标题:SETH-hardness of Coding Problems
  • 本地全文:下载
  • 作者:Noah Stephens-Davidowitz ; Vinod Vaikuntanathan
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2019
  • 卷号:2019
  • 页码:1-32
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    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.

  • 关键词:exponential-time hypothesis ; minimum distance problem ; nearest codeword problem ; SETH
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