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        <datestamp>2024-03-06T10:39:16Z</datestamp>
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          <dc:title>Real Stability Testing</dc:title>
          <dc:creator>Raghavendra, Prasad</dc:creator>
          <dc:creator>Ryder, Nick</dc:creator>
          <dc:creator>Srivastava, Nikhil</dc:creator>
          <dc:subject>real stable polynomials</dc:subject>
          <dc:subject>hyperbolic polynomials</dc:subject>
          <dc:subject>real rootedness</dc:subject>
          <dc:subject>moment matrix</dc:subject>
          <dc:subject>sturm sequence</dc:subject>
          <dc:description>We give a strongly polynomial time algorithm which determines whether or not a bivariate polynomial is real stable. As a corollary, this implies an algorithm for testing whether a given linear transformation on univariate polynomials preserves real-rootedness. The proof exploits properties of hyperbolic polynomials to reduce real stability testing to testing nonnegativity of a finite number of polynomials on an interval.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Prasad Raghavendra and Nick Ryder and Nikhil Srivastava</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 67, 8th Innovations in Theoretical Computer Science Conference (ITCS 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2017.5</dc:identifier>
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