Correspondence-based data structures for double-ended priority queues

Abstract

We describe three general methods--total, dual, and leaf correspondence--that may be used to derive efficient double-ended priority queues from single-ended priority queues. These methods are illustrated by developing double-ended priority queues based on the classical heap. Experimental results indicate that the leaf-correspondence method generally leads to a faster double-ended priority queue than either total or dual correspondence. On randomly generated test sets, however, the splay tree outperforms the tested correspondence-based double-ended priority queues.