INFORMATION-THEORETIC BOUND IS GOOD FOR MERGING.

Nathan Linial*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Let A equals (a//1 greater than . . . greater than a//m) and B equals (b//1 greater than . . . greater than b//n) be given ordered lists; also let there be given some order relations between a//is and b//js. Suppose that an unknown total order exists on A U B which is consistent with all these relations ( equals a linear extension of the partial order) and the author wishes to find out this total order by comparing pairs of elements a//t:b//s. If the partial order has N linear extensions, then the Information Theoretic Bound says that log//2 N steps will be required in the worst case from any such algorithm. In this paper it is shown that there exists an algorithm which will take no more than C log//2 Ncomparisons where C equals (log//2(( ROOT 5 plus 1)/2))** minus **1. The computation required to determine the pair a//t:b//s to be compared has length polynomial in (m plus n). The constant C is best possible. Many related results are reviewed.

Original languageAmerican English
Pages (from-to)795-801
Number of pages7
JournalSIAM Journal on Computing
Volume13
Issue number4
DOIs
StatePublished - 1984

Fingerprint

Dive into the research topics of 'INFORMATION-THEORETIC BOUND IS GOOD FOR MERGING.'. Together they form a unique fingerprint.

Cite this