| Bipartite binomial heaps | |
| Authors: | Amr Elmasry, Claus Jensen, and Jyrki Katajainen |
| Published in: | RAIRO—Theoretical Informatics and Applications 51,3 (2017), 121–133 |
| Full text: |  PDF (365 kB) |
| DOI: | 10.1051/ita/2017010 |
| Copyright: | © EDP Sciences |
| Abstract: | We describe a heap data structure that supports Minimum, Insert, and Borrow at O(1) worst-case cost, Delete at O(lg n) worst-case cost including at most lg n + O(1) element comparisons, and Union at O(lg n) worst-case cost including at most lg n + O(lg lg n) element comparisons, where n denotes the (total) number of elements stored in the data structure(s) prior to the operation. As the resulting data structure consists of two components that are different variants of binomial heaps, we call it a bipartite binomial heap. Compared to its counterpart, a multipartite binomial heap, the new structure is simpler and mergeable, still retaining the efficiency of the other operations. |
| Related: |  HTML (Earlier version) |
| BibLATEX: | @article{EJK2017J,
author = {Amr Elmasry and Claus Jensen and Jyrki Katajainen},
title = {Bipartite binomial heaps},
journaltitle = {RAIRO---Theoretical Informatics and Applications},
volume = {51},
number = {3},
year = {2017},
pages = {121--133},
}
|