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          <dc:title>Effective Divergence Analysis for Linear Recurrence Sequences</dc:title>
          <dc:creator>Almagor, Shaull</dc:creator>
          <dc:creator>Chapman, Brynmor</dc:creator>
          <dc:creator>Hosseini, Mehran</dc:creator>
          <dc:creator>Ouaknine, Joël</dc:creator>
          <dc:creator>Worrell, James</dc:creator>
          <dc:subject>Linear recurrence sequences</dc:subject>
          <dc:subject>Divergence</dc:subject>
          <dc:subject>Algebraic numbers</dc:subject>
          <dc:subject>Positivity</dc:subject>
          <dc:description>We study the growth behaviour of rational linear recurrence sequences. We show that for low-order sequences, divergence is decidable in polynomial time. We also exhibit a polynomial-time algorithm which takes as input a divergent rational linear recurrence sequence and computes effective fine-grained lower bounds on the growth rate of the sequence.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Shaull Almagor and Brynmor Chapman and Mehran Hosseini and Joël Ouaknine and James Worrell</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 118, 29th International Conference on Concurrency Theory (CONCUR 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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