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Parametric Linear Programming and Anti-Cycling Pivoting Rules

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dc.creator Magnanti, Thomas L.
dc.creator Orlin, James B., 1953-
dc.date 2004-05-28T19:34:10Z
dc.date 2004-05-28T19:34:10Z
dc.date 1985-10
dc.date.accessioned 2013-10-09T02:39:05Z
dc.date.available 2013-10-09T02:39:05Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/5332
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description The traditional perturbution (or lexicographic) methods for resolving degeneracy in linear programming impose decision rules that eliminate ties in the simplex ratio rule and, therefore,restrict the choice of exiting basic variables. Bland's combinatorial pivoting rule also restricts the choice of exiting variables. Using ideas from parametric linear programming, we develop anti-cycling pivoting rules that do not limit the choice of exiting variables beyond the simplex ratio rule. That is, any variable that ties for the ratio rule can leave the basis. A similar approach gives pivoting rules for the dual simplex method that do not restrict the choice of entering variables.
dc.format 722045 bytes
dc.format application/pdf
dc.language en_US
dc.publisher Massachusetts Institute of Technology, Operations Research Center
dc.relation Operations Research Center Working Paper;OR 144-85
dc.title Parametric Linear Programming and Anti-Cycling Pivoting Rules
dc.type Working Paper


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