Strictly Implicit Priority Queues: On the Number of Moves and Worst-Case Time

May 01, 2015 Β· Declared Dead Β· πŸ› Workshop on Algorithms and Data Structures

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Data Structures & Algorithms

Died the same way β€” πŸ‘» Ghosted