Fibonacci heaps and their uses in improved network optimization algorithms

Author:

Fredman Michael L.1,Tarjan Robert Endre2

Affiliation:

1. Univ. of California at San Diego, La Jolla

2. AT&T Bell Labs, Murray Hill, NJ

Abstract

In this paper we develop a new data structure for implementing heaps (priority queues). Our structure, Fibonacci heaps (abbreviated F-heaps ), extends the binomial queues proposed by Vuillemin and studied further by Brown. F-heaps support arbitrary deletion from an n -item heap in O (log n ) amortized time and all other standard heap operations in O (1) amortized time. Using F-heaps we are able to obtain improved running times for several network optimization algorithms. In particular, we obtain the following worst-case bounds, where n is the number of vertices and m the number of edges in the problem graph: O ( n log n + m ) for the single-source shortest path problem with nonnegative edge lengths, improved from O ( m log ( m/n +2) n ); O ( n 2 log n + nm ) for the all-pairs shortest path problem, improved from O ( nm log ( m/n +2) n ); O ( n 2 log n + nm ) for the assignment problem (weighted bipartite matching), improved from O ( nm log ( m/n +2) n ); O ( ( m, n )) for the minimum spanning tree problem, improved from O ( m log log ( m/n +2) n ); where β ( m, n ) = min { i | log ( i ) nm/n }. Note that β ( m, n ) ≤ log * n if mn . Of these results, the improved bound for minimum spanning trees is the most striking, although all the results give asymptotic improvements for graphs of appropriate densities.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Reference28 articles.

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