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        <identifier>oai:drops-oai.dagstuhl.de:15978</identifier>
        <datestamp>2024-03-06T10:56:59Z</datestamp>
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          <dc:title>Priority Queues with Decreasing Keys</dc:title>
          <dc:creator>Brodal, Gerth Stølting</dc:creator>
          <dc:subject>priority queue</dc:subject>
          <dc:subject>decreasing keys</dc:subject>
          <dc:subject>post-order heap</dc:subject>
          <dc:subject>Dijkstra’s algorithm</dc:subject>
          <dc:description>A priority queue stores a set of items with associated keys and supports the insertion of a new item and extraction of an item with minimum key. In applications like Dijkstra’s single source shortest path algorithm and Prim-Jarník’s minimum spanning tree algorithm, the key of an item can decrease over time. Usually this is handled by either using a priority queue supporting the deletion of an arbitrary item or a dedicated DecreaseKey operation, or by inserting the same item multiple times but with decreasing keys.&#13;
In this paper we study what happens if the keys associated with items in a priority queue can decrease over time without informing the priority queue, and how such a priority queue can be used in Dijkstra’s algorithm. We show that binary heaps with bottom-up insertions fail to report items with unchanged keys in correct order, while binary heaps with top-down insertions report items with unchanged keys in correct order. Furthermore, we show that skew heaps, leftist heaps, and priority queues based on linking roots of heap-ordered trees, like pairing heaps, binomial queues and Fibonacci heaps, work correctly with decreasing keys without any modifications. Finally, we show that the post-order heap by Harvey and Zatloukal, a variant of a binary heap with amortized constant time insertions and amortized logarithmic time deletions, works correctly with decreasing keys and is a strong contender for an implicit priority queue supporting decreasing keys in practice.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Gerth Stølting Brodal</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 226, 11th International Conference on Fun with Algorithms (FUN 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FUN.2022.8</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-159787</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FUN.2022.8</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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