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        <identifier>oai:drops-oai.dagstuhl.de:18841</identifier>
        <datestamp>2024-03-06T11:02:42Z</datestamp>
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          <dc:title>A 10/7-Approximation for Discrete Bamboo Garden Trimming and Continuous Trimming on Star Graphs</dc:title>
          <dc:creator>Höhne, Felix</dc:creator>
          <dc:creator>van Stee, Rob</dc:creator>
          <dc:subject>bamboo garden trimming</dc:subject>
          <dc:subject>approximation algorithms</dc:subject>
          <dc:subject>scheduling</dc:subject>
          <dc:description>In the discrete bamboo garden trimming problem we are given n bamboo that grow at rates v_1,… ,v_n per day. Each day a robotic gardener cuts down one bamboo to height 0. The goal is to find a schedule that minimizes the height of the tallest bamboo that ever exists.&#13;
We present a 10/7-approximation algorithm that is based on a reduction to the pinwheel problem. This is consistent with the approach of earlier algorithms, but some new techniques are used that lead to a better approximation ratio.&#13;
We also consider the continuous version of the problem where the gardener travels in a metric space between plants and cuts down a plant each time he reaches one. We show that on the star graph the previously proposed algorithm Reduce-Fastest is a 6-approximation and the known Deadline-Driven Strategy is a (3+2√2)-approximation. The Deadline-Driven Strategy is also a (9+2√5)-approximation on star graphs with multiple plants on each branch.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Felix Höhne and Rob van Stee</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 275, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2023)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2023.16</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-188417</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2023.16</dc:identifier>
          <dc:language>eng</dc:language>
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