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Averill M. Law

dblp:42/1706 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1978
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Graph algorithms and graph theory · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory › shortest path
all-pairs shortest paths
0.011977
A Note on Spira's Algorithm for the All-Pairs Shortest-Path Problem · SIAM J. Comput. 1977
Graph algorithms and graph theory
shortest path
0.011977
A Note on Spira's Algorithm for the All-Pairs Shortest-Path Problem · SIAM J. Comput. 1977
Graph algorithms and graph theory › shortest path › single-source shortest paths
dijkstra's algorithm
0.011977
A Note on Spira's Algorithm for the All-Pairs Shortest-Path Problem · SIAM J. Comput. 1977

Methods — techniques the papers use, named apart from their topics

empirical comparison · 0.0asymptotic analysis · 0.0
YearPublicationVenuePosition
1978 A mean-time comparison of algorithms for the all-pairs shortest-path problem with arbitrary arc lengths
abstract
Abstract A mean‐time comparison of the algorithms of Floyd, Dantzig, Tabourier, and of repeated application of several single‐source algorithms, for the all‐pairs shortest‐path problem with arbitrary arc lengths clearly demonstrates the superiority of the Tabourier procedure for networks in which an average of at least 25% of the potential direct arcs are present. For very sparse networks, repeated application of a single‐source label‐correcting algorithm is found to be preferable.
W. David Kelton, Averill M. Law
Networks2
1977 A Note on Spira's Algorithm for the All-Pairs Shortest-Path Problem
abstract
We correct some errors in Spira’s algorithm for the all-pairs shortest-path problem, and empirically compare his algorithm (with two distinct sorting, routines) to Dijkstra’s procedure. The results show that Spira’s algorithm is only efficient for “large” networks. Furthermore, it is seen that the asymptotic number of additions and comparisons required by two algorithms may be a very poor indicator of their relative running times.
John S. Carson, Averill M. Law
SIAM J. Comput.2