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        <datestamp>2024-03-06T10:33:23Z</datestamp>
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          <dc:title>Beyond Bidimensionality: Parameterized Subexponential Algorithms on Directed Graphs</dc:title>
          <dc:creator>Dorn, Frederic</dc:creator>
          <dc:creator>Fomin, Fedor V.</dc:creator>
          <dc:creator>Lokshtanov, Daniel</dc:creator>
          <dc:creator>Raman, Venkatesh</dc:creator>
          <dc:creator>Saurabh, Saket</dc:creator>
          <dc:subject>Parameterized Subexponential Algorithms</dc:subject>
          <dc:subject>Directed Graphs</dc:subject>
          <dc:subject>Out-Branching</dc:subject>
          <dc:subject>Internal Out-Branching</dc:subject>
          <dc:description>In this paper we make the first step beyond bidimensionality by obtaining subexponential time algorithms for problems on directed graphs. &#13;
&#13;
We develop two different methods to achieve subexponential time parameterized algorithms for problems on sparse directed graphs. &#13;
We exemplify our approaches with two well studied problems. For the first problem, $k$-Leaf Out-Branching, which is to find an oriented spanning tree with at least $k$ leaves, we obtain an algorithm solving the problem in time $2^{\cO(\sqrt{k} \log k)} n+ n^{\cO(1)}$ on directed graphs whose underlying undirected graph excludes some fixed graph $H$ as a minor. For the special case when the input directed graph is planar, the running time can be improved to  $2^{\cO(\sqrt{k} )}n + n^{\cO(1)}$.&#13;
&#13;
The second example is a generalization of the {\sc Directed Hamiltonian Path} problem, namely $k$-Internal Out-Branching, which is to find an oriented  spanning tree with at least  $k$ internal vertices. We obtain an algorithm solving the problem in time $2^{\cO(\sqrt{k} \log k)} + n^{\cO(1)}$ on directed graphs whose underlying  undirected graph excludes some fixed apex graph $H$ as a minor. &#13;
&#13;
Finally, we observe that for any $\ve&gt;0$, the $k$-Directed Path problem is solvable in time $\cO((1+\ve)^k n^{f(\ve)})$, where $f$ is some function of $\ve$.&#13;
   &#13;
Our methods are based on non-trivial combinations of obstruction theorems for undirected graphs, kernelization, problem specific combinatorial structures and a layering technique similar to the one employed by Baker to obtain PTAS for planar graphs.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Frederic Dorn and Fedor V. Fomin and Daniel Lokshtanov and Venkatesh Raman and Saket Saurabh</dc:contributor>
          <dc:date>2010</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 5, 27th International Symposium on Theoretical Aspects of Computer Science (2010)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.STACS.2010.2459</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-24599</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2010.2459</dc:identifier>
          <dc:language>eng</dc:language>
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