TY - JOUR T1 - A Scaled Central Path for Linear Programming AU - Yuan , Ya-Xiang JO - Journal of Computational Mathematics VL - 1 SP - 35 EP - 40 PY - 2001 DA - 2001/02 SN - 19 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jcm/8955.html KW - Central path, Interior point methods, Linear programming. AB -

Interior point methods are very efficient methods for solving large scale linear programming problems. The central path plays a very important role in interior point methods. In this paper we propose a new central path, which scales the variables. Thus it has the advantage of forcing the path to have roughly the same distance from each active constraint boundary near the solution.