Y. Q. Bai M. El Ghami and C. Roos, “A Comparative Study of Kernel Functions for Primaldual Interior-Point Algorithms in Linear Optimization,” SIAM Journal on Optimization, Vol. 15, No. 1, 2004, pp. 101-128. doi:10.1137/S1052623403423114

has been cited by the following article:

• TITLE: A New Full-NT-Step Infeasible Interior-Point Algorithm for SDP Based on a Specific Kernel Function

  AUTHORS: Samir Bouali, Samir Kabbaj

  KEYWORDS: Semidefinite Programming; Full Nesterov-Todd Steps; Infeasible Interior-Point Methods; Polynomial Complexity; Kernel Functions

  JOURNAL NAME: Applied Mathematics, Vol.3 No.9, September 27, 2012

  ABSTRACT: In this paper, we propose a new infeasible interior-point algorithm with full NesterovTodd (NT) steps for semidefinite programming (SDP). The main iteration consists of a feasibility step and several centrality steps. We used a specific kernel function to induce the feasibility step. The analysis is more simplified. The iteration bound coincides with the currently best known bound for infeasible interior-point methods.