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        <identifier>oai:drops-oai.dagstuhl.de:25854</identifier>
        <datestamp>2026-06-23T12:59:38Z</datestamp>
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          <dc:title>FPT Approximations for Capacitated Sum of Radii and Diameters</dc:title>
          <dc:creator>Filtser, Arnold</dc:creator>
          <dc:creator>Gadekar, Ameet</dc:creator>
          <dc:subject>clustering</dc:subject>
          <dc:subject>sum of radii</dc:subject>
          <dc:subject>sum of diameter</dc:subject>
          <dc:subject>capacitated clustering</dc:subject>
          <dc:subject>fpt</dc:subject>
          <dc:description>The Capacitated Sum of Radii problem involves partitioning a set of points P, where each point p ∈ P has capacity U_p, into k clusters that minimize the sum of cluster radii, such that the number of points in the cluster centered at point p is at most U_p. We begin by showing that the problem is APX-hard, and that under gap-ETH there is no parameterized approximation scheme (FPT-AS). We then construct a ≈5.83-approximation algorithm in FPT time (improving a previous ≈7.61 approximation in FPT time). Our results also hold when the objective is a general monotone symmetric norm of radii. We also improve the approximation factors for the uniform capacity case, and for the closely related problem of Capacitated Sum of Diameters.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Arnold Filtser and Ameet Gadekar</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 367, 42nd International Symposium on Computational Geometry (SoCG 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2026.48</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-258545</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2026.48</dc:identifier>
          <dc:language>eng</dc:language>
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