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A strongly polynomial algorithm for linear optimization problems having 0-1 optimal solutions

Sergei Chubanov (sergei.chubanov***at***uni-siegen.de)

Abstract: We present a strongly polynomial algorithm for linear optimization problems of the form min{cx|Ax = b, x >= 0} having 0-1 vectors among their optimal solutions. The algorithm runs in time O(n^4*max\{m,log n}), where n is the number of variables and m is the number of equations. The algorithm also constructs necessary and sufficient optimality conditions for 0-1 solutions in the form of a linear system.

Keywords: Linear programming, strongly polynomial algorithm

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

Citation:

Download: [PDF]

Entry Submitted: 01/06/2014
Entry Accepted: 01/06/2014
Entry Last Modified: 01/24/2014

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