Maximum-likelihood decoding of Reed-Solomon Codes is NP-hard
| dc.creator | Guruswami, Venkatesan | |
| dc.creator | Vardy, Alexander | |
| dc.date | 2004-05-04 | |
| dc.date.accessioned | 2026-07-07T08:17:41Z | |
| dc.date.available | 2026-07-07T08:17:41Z | |
| dc.description | Maximum-likelihood decoding is one of the central algorithmic problems in coding theory. It has been known for over 25 years that maximum-likelihood decoding of general linear codes is NP-hard. Nevertheless, it was so far unknown whether maximum- likelihood decoding remains hard for any specific family of codes with nontrivial algebraic structure. In this paper, we prove that maximum-likelihood decoding is NP-hard for the family of Reed-Solomon codes. We moreover show that maximum-likelihood decoding of Reed-Solomon codes remains hard even with unlimited preprocessing, thereby strengthening a result of Bruck and Naor. | |
| dc.description | 16 pages, no figures | |
| dc.identifier | https://arxiv.org/abs/cs/0405005 | |
| dc.identifier | http://arxiv.org/abs/cs/0405005 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/134176 | |
| dc.subject | Computational Complexity | |
| dc.subject | Discrete Mathematics | |
| dc.subject | Information Theory | |
| dc.subject | E.4; F.1.3; F.2.1 | |
| dc.title | Maximum-likelihood decoding of Reed-Solomon Codes is NP-hard | |
| dc.type | text |