Are fibonacci heaps optimal?

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Abstract

In this paper we investigate the inherent complexity of the priority queue abstract data type. We show that, under reasonable assumptions, there exist sequences of n Insert, n Delete, m DecreaseKey and t FindMin operations, where 1 ≤ t ≤ n, which have ω(nlogt+ n + m) complexity. Although Fibonacci heaps do not achieve this bound, we present a modified Fibonacci heap which does, and so is optimal under our assumptions. Using our modified Fibonacci heap we are able to obtain an efficient algorithm for the shortest path problem.

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Abuaiadh, D., & Kingston, J. H. (1994). Are fibonacci heaps optimal? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 834 LNCS, pp. 442–450). Springer Verlag. https://doi.org/10.1007/3-540-58325-4_210

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