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        <datestamp>2024-03-06T10:45:55Z</datestamp>
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          <dc:title>An Efficient Algorithm for Generalized Polynomial Partitioning and Its Applications</dc:title>
          <dc:creator>Agarwal, Pankaj K.</dc:creator>
          <dc:creator>Aronov, Boris</dc:creator>
          <dc:creator>Ezra, Esther</dc:creator>
          <dc:creator>Zahl, Joshua</dc:creator>
          <dc:subject>Polynomial partitioning</dc:subject>
          <dc:subject>quantifier elimination</dc:subject>
          <dc:subject>semi-algebraic range spaces</dc:subject>
          <dc:subject>epsilon-samples</dc:subject>
          <dc:description>In 2015, Guth proved that if S is a collection of n g-dimensional semi-algebraic sets in R^d and if D &gt;= 1 is an integer, then there is a d-variate polynomial P of degree at most D so that each connected component of R^d \ Z(P) intersects O(n/D^{d-g}) sets from S. Such a polynomial is called a generalized partitioning polynomial. We present a randomized algorithm that computes such polynomials efficiently - the expected running time of our algorithm is linear in |S|. Our approach exploits the technique of quantifier elimination combined with that of epsilon-samples.&#13;
We present four applications of our result. The first is a data structure for answering point-enclosure queries among a family of semi-algebraic sets in R^d in O(log n) time, with storage complexity and expected preprocessing time of O(n^{d+epsilon}). The second is a data structure for answering range search queries with semi-algebraic ranges in O(log n) time, with O(n^{t+epsilon}) storage and expected preprocessing time, where t &gt; 0 is an integer that depends on d and the description complexity of the ranges. The third is a data structure for answering vertical ray-shooting queries among semi-algebraic sets in R^{d} in O(log^2 n) time, with O(n^{d+epsilon}) storage and expected preprocessing time. The fourth is an efficient algorithm for cutting algebraic planar curves into pseudo-segments.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Pankaj K. Agarwal and Boris Aronov and Esther Ezra and Joshua Zahl</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 129, 35th International Symposium on Computational Geometry (SoCG 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2019.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-104096</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2019.5</dc:identifier>
          <dc:language>eng</dc:language>
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