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Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hansen, Thomas D | - |
dc.contributor.author | Kaplan, Haim | - |
dc.contributor.author | Tarjan, Robert E | - |
dc.contributor.author | Zwick, Uri | - |
dc.date.accessioned | 2021-10-08T19:47:33Z | - |
dc.date.available | 2021-10-08T19:47:33Z | - |
dc.date.issued | 2017-07 | en_US |
dc.identifier.citation | Hansen, Thomas Dueholm, Haim Kaplan, Robert E. Tarjan, and Uri Zwick. "Hollow Heaps." ACM Transactions on Algorithms 13, no. 3 (2017): 42:1-42:27. doi:10.1145/3093240 | en_US |
dc.identifier.issn | 1549-6325 | - |
dc.identifier.uri | https://arxiv.org/pdf/1510.06535.pdf | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/pr19n9r | - |
dc.description.abstract | We introduce the hollow heap, a very simple data structure with the same amortized efficiency as the classical Fibonacci heap. All heap operations except delete and delete-min take O(1) time, worst case as well as amortized; delete and delete-min take O(log n) amortized time on a heap of n items. Hollow heaps are the simplest structure to achieve these bounds. Hollow heaps combine two novel ideas: the use of lazy deletion and re-insertion to do decrease-key operations and the use of a dag (directed acyclic graph) instead of a tree or set of trees to represent a heap. Lazy deletion produces hollow nodes (nodes without items), giving the data structure its name. | en_US |
dc.format.extent | 42:1 - 42:27 | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartof | ACM Transactions on Algorithms | en_US |
dc.rights | Author's manuscript | en_US |
dc.title | Hollow Heaps | en_US |
dc.type | Journal Article | en_US |
dc.identifier.doi | 10.1145/3093240 | - |
dc.identifier.eissn | 1549-6333 | - |
pu.type.symplectic | http://www.symplectic.co.uk/publications/atom-terms/1.0/conference-proceeding | en_US |
Files in This Item:
File | Description | Size | Format | |
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HollowHeapsAlgorithms.pdf | 313.83 kB | Adobe PDF | View/Download |
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