Subexponential bound for linear programming

Jiri Matousek*, Micha Sharir, Emo Welzl

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

65 Scopus citations

Abstract

We present a simple randomized algorithm which solves linear programs with n constraints and d variables in expected O(nde4√dln(n+1)) time in the unit cost model (where we count the number of arithmetic operations on the numbers in the input). The expectation is over the internal randomizations performed by the algorithm, and holds for any input. The algorithm is presented in an abstract framework, which facilitates its application to several other related problems. The algorithm has been presented in a previous work by the authors [ShW], but its analysis and the subexponential complexity bound are new.

Original languageEnglish
Title of host publicationEighth Annual Symposium On Computational Geometry
PublisherAssociation for Computing Machinery (ACM)
Pages1-8
Number of pages8
ISBN (Print)0897915178
StatePublished - 1992
Externally publishedYes
EventEighth Annual Symposium On Computational Geometry - Berlin, Ger
Duration: 10 Jun 199212 Jun 1992

Publication series

NameEighth Annual Symposium On Computational Geometry

Conference

ConferenceEighth Annual Symposium On Computational Geometry
CityBerlin, Ger
Period10/06/9212/06/92

Fingerprint

Dive into the research topics of 'Subexponential bound for linear programming'. Together they form a unique fingerprint.

Cite this