@Article{JCM-22-3,
author = {Wenbao, Ai},
title = {An Optimal Method for Adjusting the Centering Parameter in the Wide-Neighborhood Primal-Dual Interior-Point Algorithm for Linear Programming},
journal = {Journal of Computational Mathematics},
year = {2004},
volume = {22},
number = {3},
pages = {437--446},
abstract = {<p style="text-align: justify;">In this paper we present a dynamic optimal method for adjusting the centering parameter in the wide-neighborhood primal-dual interior-point algorithms for linear programming, while the centering parameter is generally a constant in the classical wide-neighborhood primal-dual interior-point algorithms. The computational results show that the new method is more efficient.</p>},
issn = {1991-7139},
doi = {https://doi.org/2004-JCM-10317},
url = {https://global-sci.com/article/85232/an-optimal-method-for-adjusting-the-centering-parameter-in-the-wide-neighborhood-primal-dual-interior-point-algorithm-for-linear-programming}
}