A Tight Lower Bound for Decrease-Key in the Pure Heap Model
A Tight Lower Bound for Decrease-Key in the Pure Heap Model
We improve the lower bound on the amortized cost of the decrease-key operation in the pure heap model and show that any pure-heap-model heap (that has a \bigoh{\log n} amortized-time extract-min operation) must spend \bigom{\log\log n} amortized time on the decrease-key operation. Our result shows that sort heaps as well as pure-heap variants of numerous other heaps have asymptotically optimal decrease-key operations in the pure heap model. In addition, our improved lower bound matches the lower bound of Fredman [J. ACM 46(4):473-501 (1999)] for pairing heaps [M.L. Fredman, R. Sedgewick, D.D. Sleator, and R.E. Tarjan. Algorithmica 1(1):111-129 (1986)] and surpasses it for pure-heap variants of numerous other heaps with augmented data such as pointer rank-pairing heaps.
arXiv admin note: substantial text overlap with arXiv:1302.6641
FOS: Computer and information sciences, Data Structures and Algorithms (cs.DS), E.1; F.2.2
FOS: Computer and information sciences, Data Structures and Algorithms (cs.DS), E.1; F.2.2
6 Research products, page 1 of 1
- 2014IsAmongTopNSimilarDocuments
- 2014IsAmongTopNSimilarDocuments
- 2004IsAmongTopNSimilarDocuments
- 1999IsAmongTopNSimilarDocuments
- 2019IsAmongTopNSimilarDocuments
- 2013IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
