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  • 标题:Hardness of approximating the minimum distance of a linear
  • 本地全文:下载
  • 作者:Ilya Dumer ; Daniele Micciancio ; Madhu Sudan
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:1999
  • 卷号:1999
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:We show that the minimum distance of a linear code (or equivalently, the weight of the lightest codeword) is not approximable to within any constant factor in random polynomial time (RP), unless NP equals RP. Under the stronger assumption that NP is not contained in RQP (random quasi-polynomial time), we show that the minimum distance is not approximable to within the factor 2log(1−)n, for any 0, where n denotes the block length of the code. We also show that the minimum distance is not approximable to within an additive error that is linear in the block length of the code, unless NP equals RP. Our results hold for codes over every finite field, including the special case of binary codes. In the process we show that the nearest codeword problem is hard to solve even under the promise that the number of errors is (a constant factor) smaller than the distance of the code (even if the code is asymptotically good). This is a particularly meaningful version of the nearest codeword problem.
  • 关键词:Approximation Algorithms, Error Correcting Codes, Intractability, NP-completeness
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