Strictly Implicit Priority Queues: On the Number of Moves and Worst-Case Time
May 01, 2015 Β· Declared Dead Β· π Workshop on Algorithms and Data Structures
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Authors
Gerth StΓΈlting Brodal, Jesper Sindahl Nielsen, Jakob Truelsen
arXiv ID
1505.00147
Category
cs.DS: Data Structures & Algorithms
Citations
1
Venue
Workshop on Algorithms and Data Structures
Last Checked
4 months ago
Abstract
The binary heap of Williams (1964) is a simple priority queue characterized by only storing an array containing the elements and the number of elements $n$ - here denoted a strictly implicit priority queue. We introduce two new strictly implicit priority queues. The first structure supports amortized $O(1)$ time Insert and $O(\log n)$ time ExtractMin operations, where both operations require amortized $O(1)$ element moves. No previous implicit heap with $O(1)$ time Insert supports both operations with $O(1)$ moves. The second structure supports worst-case $O(1)$ time Insert and $O(\log n)$ time (and moves) ExtractMin operations. Previous results were either amortized or needed $O(\log n)$ bits of additional state information between operations.
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