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SIAM Journal on Computing
Article . 1985 . Peer-reviewed
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DBLP
Article . 2017
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Alphabetic Minimax Trees

Alphabetic minimax trees
Authors: David G. Kirkpatrick; Maria M. Klawe;

Alphabetic Minimax Trees

Abstract

This paper concerns the following problem. Given vertices \(v_ 1,...,v_ n\) with weights \(w_ 1,...,w_ n\), construct a t-ary tree with leaves \(v_ 1,...,v_ n\) in left to right order, such that if \(l_ i\) denotes the length of the path from \(v_ i\) to the root for each i, the maximum of \(w_ i+l_ i\) is minimized. A linear algorithm is presented for the case where all the weights are integers, and this is used to obtain an O(n log n) algorithm for the case of general weights. Moreover it is shown that the minimax value obtained is bounded above by \(2+\log_ t(\sum t^{(w_ i)})\). This result has applications in the study of the effect of fan-out constraints in logical circuits.

Keywords

Analysis of algorithms and problem complexity, minimax value, upper bound, t-ary tree, alphabetic tree, optimal weighted tree, fanout reduction, Graph theory (including graph drawing) in computer science, Switching theory, application of Boolean algebra; Boolean functions, Applications of graph theory to circuits and networks, rooted tree, fan-out constraints, linear algorithm, logical circuits

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Top 10%
Average
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