The Simplex Algorithm in Dimension Three

dc.creatorKaibel, Volker
dc.creatorMechtel, Rafael
dc.creatorSharir, Micha
dc.creatorZiegler, Guenter M.
dc.date2003-09-22
dc.date2004-08-20
dc.date.accessioned2026-07-07T05:01:21Z
dc.date.available2026-07-07T05:01:21Z
dc.descriptionWe investigate the worst-case behavior of the simplex algorithm on linear programs with three variables, that is, on 3-dimensional simple polytopes. Among the pivot rules that we consider, the ``random edge'' rule yields the best asymptotic behavior as well as the most complicated analysis. All other rules turn out to be much easier to study, but also produce worse results: Most of them show essentially worst-possible behavior; this includes both Kalai's ``random-facet'' rule, which without dimension restriction is known to be subexponential, as well as Zadeh's deterministic history dependent rule, for which no non-polynomial instances in general dimensions have been found so far.
dc.description24 pages, to appear in: SIAM J. Comp.; the paper comprises the contents of our paper 'The Random Edge Rule on Three-Dimensional Linear Programs' (math.CO/0301076)
dc.identifierhttps://arxiv.org/abs/math/0309351
dc.identifierhttp://arxiv.org/abs/math/0309351
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/68635
dc.subjectCombinatorics
dc.subjectOptimization and Control
dc.subject90C05; 52B10; 68W20
dc.titleThe Simplex Algorithm in Dimension Three
dc.typetext

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