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Permutations in the factorization of simplex bases

Ricardo Fukasawa(rfukasawa***at***uwaterloo.ca)
Laurent Poirrier(lpoirrier***at***uwaterloo.ca)

Abstract: The basis matrices corresponding to consecutive iterations of the simplex method only differ in a single column. This fact is commonly exploited in current LP solvers to avoid having to compute a new factorization of the basis at every iteration. Instead, a previous factorization is updated to reflect the modified column. Several methods are known for performing the update, most prominently the Forrest-Tomlin method. We present an alternative algorithm for the special case where the update can be performed purely by permuting rows and columns of the factors. In our experiments, this occurred for about half of the basis updates, and the new algorithm provides a modest reduction in computation time for the dual simplex method.

Keywords: linear programming, simplex method, basis factorization

Category 1: Linear, Cone and Semidefinite Programming (Linear Programming )

Citation:

Download: [PDF]

Entry Submitted: 12/13/2016
Entry Accepted: 12/14/2016
Entry Last Modified: 12/13/2016

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