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          <dc:title>Covering Vectors by Spaces: Regular Matroids</dc:title>
          <dc:creator>Fomin, Fedor V.</dc:creator>
          <dc:creator>Golovach, Petr A.</dc:creator>
          <dc:creator>Lokshtanov, Daniel</dc:creator>
          <dc:creator>Saurabh, Saket</dc:creator>
          <dc:subject>regular matroids</dc:subject>
          <dc:subject>spanning set</dc:subject>
          <dc:subject>parameterized complexity</dc:subject>
          <dc:description>We consider the problem of covering a set of vectors of a given finite dimensional linear space (vector space) by a subspace generated by a set of vectors of minimum size. Specifically, we study the Space Cover problem, where we are given a matrix M and a subset of its columns T; the task is to find a minimum set F of columns of M disjoint with T such that that the linear span of F contains all vectors of T. This is a fundamental problem arising in different domains, such as coding theory, machine learning, and graph algorithms. &#13;
 &#13;
We give a parameterized algorithm with running time 2^{O(k)}||M|| ^{O(1)} solving this problem in the case when M is a totally unimodular matrix over rationals, where k is the size of F. In other words, we show that the problem is fixed-parameter tractable parameterized by the rank of the covering subspace. The algorithm is "asymptotically optimal" for the following reasons.&#13;
&#13;
Choice of matrices: Vector matroids corresponding to totally unimodular matrices over rationals are exactly the regular matroids. It is known that for matrices corresponding to a more general class of matroids, namely, binary matroids, the problem becomes W[1]-hard being parameterized by k.&#13;
&#13;
Choice of the parameter: The problem is NP-hard even if |T|=3 on matrix-representations of a subclass of regular matroids, namely cographic matroids. Thus for a stronger parameterization, like by the size of T, the problem becomes intractable. &#13;
&#13;
Running Time: The exponential dependence in the running time of our algorithm cannot be asymptotically improved unless Exponential Time Hypothesis (ETH) fails. &#13;
&#13;
Our algorithm exploits the classical decomposition theorem of Seymour for regular matroids.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Fedor V. Fomin and Petr A. Golovach and Daniel Lokshtanov and Saket Saurabh</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 80, 44th International Colloquium on Automata, Languages, and Programming (ICALP 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2017.56</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-73865</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2017.56</dc:identifier>
          <dc:language>eng</dc:language>
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