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        <datestamp>2024-03-06T10:33:30Z</datestamp>
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          <dc:title>Polynomially Bounded Matrix Interpretations</dc:title>
          <dc:creator>Waldmann, Johannes</dc:creator>
          <dc:subject>Derivational complexity of rewriting</dc:subject>
          <dc:subject>matrix interpretation</dc:subject>
          <dc:subject>weighted automata</dc:subject>
          <dc:subject>ambiguity of automata</dc:subject>
          <dc:subject>finite domain constraints</dc:subject>
          <dc:description>Matrix interpretations can be used to bound the derivational complexity of rewrite systems. We present a criterion that completely characterizes matrix interpretations that are polynomially bounded. It includes the method of upper triangular interpretations as a special case, and we prove that the inclusion is strict. The criterion can be expressed as a finite domain  constraint system.&#13;
It translates to a Boolean constraint system with a size that is polynomial in the dimension of the interpretation. We report on performance of an implementation.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Johannes Waldmann</dc:contributor>
          <dc:date>2010</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 6, Proceedings of the 21st International Conference on Rewriting Techniques and Applications (2010)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.RTA.2010.357</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-26637</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.RTA.2010.357</dc:identifier>
          <dc:language>eng</dc:language>
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