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        <datestamp>2024-03-06T11:09:01Z</datestamp>
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          <dc:title>Deterministic approximation algorithms for the nearest codeword problem</dc:title>
          <dc:creator>Alon, Noga</dc:creator>
          <dc:creator>Panigrahy, Rina</dc:creator>
          <dc:creator>Yekhanin, Sergey</dc:creator>
          <dc:description>The Nearest Codeword Problem (NCP) is a basic algorithmic question in the theory of error-correcting codes. Given a point v in F_2^n and a linear space L in F_2^n of dimension k NCP asks to find a point l in L that minimizes the (Hamming) distance from v. &#13;
&#13;
It is well-known that the nearest codeword problem is NP-hard. Therefore approximation algorithms are of interest. The best effcient approximation algorithms for the NCP to date are due to Berman and Karpinski. They are a&#13;
deterministic algorithm that achieves an approximation ratio of O(k/c)&#13;
for an arbitrary constant c; and a randomized algorithm that achieves&#13;
an approximation ratio of O(k/ log n).&#13;
&#13;
In this paper we present new deterministic algorithms for approximating&#13;
the NCP that improve substantially upon the earlier work, (almost) de-randomizing the randomized algorithm of Berman and Karpinski.&#13;
&#13;
We also initiate a study of the following Remote Point Problem (RPP). Given a linear space L in F_2^n of dimension k RPP asks to find a point v in F_2^n that is far from L. We say that an algorithm achieves a remoteness of r for the RPP if it always outputs a point v that is at least r-far from L. In this paper we present a deterministic polynomial time algorithm that achieves a remoteness of Omega(n log k / k) for all k &lt; n/2. &#13;
&#13;
We motivate the remote point problem by relating it to both the nearest codeword problem and the matrix rigidity approach to circuit lower bounds in&#13;
computational complexity theory.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Noga Alon and Rina Panigrahy and Sergey Yekhanin</dc:contributor>
          <dc:date>2010</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 9421, Algebraic Methods in Computational Complexity (2010)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/DagSemProc.09421.4</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-24133</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09421.4</dc:identifier>
          <dc:language>eng</dc:language>
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