Saito, G., Corley, H.W., Rosenberger, J.M., Sung, T.-K. and Noroziroshan, A. (2015) Constraint Optimal Selection Techniques (COSTs) for Nonnegative Linear Programming Problems. Applied Mathematics and Computation, 251, 586-598.
https://doi.org/10.1016/j.amc.2014.11.080

has been cited by the following article:

• TITLE: Posterior Constraint Selection for Nonnegative Linear Programming

  AUTHORS: H. W. Corley, Alireza Noroziroshan, Jay M. Rosenberger

  KEYWORDS: Linear Programming, Nonnegative Linear Programming, Large-Scale Problems, Active Set Methods, Constraint Selection, Posterior Method, COSTs

  JOURNAL NAME: American Journal of Operations Research, Vol.7 No.1, January 11, 2017

  ABSTRACT: 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.