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This linear programming formulated based on the available secondary data obtained from the information Technology units of an institution as the secondary data as well as the primary data source ...
We assume that the k -linear factors of the upper level problem and the l -linear factors of the lower level problem to be non-negative. In this paper, we propose an algorithm based on branch-and-cut ...
This repository contains a simple implementation of a linear programming solver, in particular for the primal and dual simplex method in tableau form and the application of Gomory's cut in case of ...
Whereas interior point methods provide polynomial-time linear programming algorithms, the running time bounds depend on bit-complexity or condition measures that can be unbounded in the problem ...
Examples were found on which simplex ran in exponential time. Eventually, polynomial-time algorithms for linear programming were found, but the simplex method continued to be used — and in many ...
Linear programming: methods and applications by Gass, Saul I. Publication date 1964 Publisher McGraw-Hill Book Company Collection internetarchivebooks; inlibrary; printdisabled Contributor Internet ...
Zhang, Ma & Li (2008) treat inverse linear programming as a supporting method for reducing resource consumption in manufacturing systems management, leading to greater operational efficiency. Noori et ...
This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical ...
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