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        <datestamp>2024-03-06T10:38:14Z</datestamp>
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          <dc:title>Trading Determinism for Time in Space Bounded Computations</dc:title>
          <dc:creator>Kallampally, Vivek Anand T</dc:creator>
          <dc:creator>Tewari, Raghunath</dc:creator>
          <dc:subject>space complexity</dc:subject>
          <dc:subject>unambiguous computations</dc:subject>
          <dc:subject>Savitch's Theorem</dc:subject>
          <dc:description>Savitch showed in 1970 that nondeterministic logspace (NL) is contained in deterministic O(log^2(n)) space but his algorithm requires quasipolynomial time. The question whether we can have a deterministic algorithm for every problem in NL that requires polylogarithmic space and simultaneously runs in polynomial time  was left open. &#13;
		&#13;
In this paper we give a partial solution to this problem and show that for every language in NL there exists an unambiguous nondeterministic algorithm that requires O(log^2(n)) space and simultaneously runs in polynomial time.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Vivek Anand T Kallampally and Raghunath Tewari</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 58, 41st International Symposium on Mathematical Foundations of Computer Science (MFCS 2016)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2016.10</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-64268</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2016.10</dc:identifier>
          <dc:language>eng</dc:language>
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