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        <datestamp>2024-03-06T10:40:28Z</datestamp>
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          <dc:title>A Strategy for Dynamic Programs: Start over and Muddle Through</dc:title>
          <dc:creator>Datta, Samir</dc:creator>
          <dc:creator>Mukherjee, Anish</dc:creator>
          <dc:creator>Schwentick, Thomas</dc:creator>
          <dc:creator>Vortmeier, Nils</dc:creator>
          <dc:creator>Zeume, Thomas</dc:creator>
          <dc:subject>dynamic complexity</dc:subject>
          <dc:subject>treewidth</dc:subject>
          <dc:subject>monadic second order logic</dc:subject>
          <dc:description>A strategy for constructing dynamic programs is introduced that utilises periodic computation of auxiliary data from scratch and the ability to maintain a query for a limited number of change steps. It is established that if some program can maintain a query for log n change steps after an AC^1-computable initialisation, it can be maintained by a first-order dynamic program as well, i.e., in DynFO. As an application, it is shown that decision and optimisation problems defined by monadic second-order (MSO) and guarded second-order logic (GSO) formulas are in DynFO, if only change sequences that produce graphs of bounded treewidth are allowed. To establish this result, Feferman-Vaught-type composition theorems for MSO and GSO are established that might be useful in their own right.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Samir Datta and Anish Mukherjee and Thomas Schwentick and Nils Vortmeier and Thomas Zeume</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>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2017.98</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-74470</dc:identifier>
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          <dc:language>eng</dc:language>
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