%0 Journal Article
%T Posterior Constraint Selection for Nonnegative Linear Programming
%A H. W. Corley
%A Alireza Noroziroshan
%A Jay M. Rosenberger
%J American Journal of Operations Research
%P 26-40
%@ 2160-8849
%D 2017
%I Scientific Research Publishing
%R 10.4236/ajor.2017.71002
%X Posterior constraint optimal selection techniques (COSTs) are developed for nonnegative linear programming problems (NNLPs), and a geometric interpretation is provided. The posterior approach is used in both a dynamic and non-dynamic active-set framework. The computational performance of these methods is compared with the CPLEX standard linear programming algorithms, with two most-violated constraint approaches, and with previously developed COST algorithms for large-scale problems.
%K Linear Programming
%K Nonnegative Linear Programming
%K Large-Scale Problems
%K Active Set Methods
%K Constraint Selection
%K Posterior Method
%K COSTs
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=73373