Journal of the Operations Research Society of China ›› 2017, Vol. 5 ›› Issue (3): 333-346.doi: 10.1007/s40305-017-0172-4

Special Issue: Continuous Optimization

• Continuous Optimization • Previous Articles     Next Articles

Polynomial Convergence of Primal-Dual Path-Following Algorithms for Symmetric Cone Programming Based on Wide Neighborhoods and a New Class of Directions

Chang-He Liu 1· Yuan-Yuan Huang1 ·You-Lin Shang1   

  1. 1 School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang 471023, Henan, China
  • Online:2017-09-30 Published:2017-09-30

Abstract:

This paper presents a class of primal-dual path-following interior-point algorithms for symmetric cone programming (SCP) based on wide neighborhoods and new directions with a parameter θ. When the parameter θ = 1, the direction is exactly the classical Newton direction. When the parameter θ is independent of the rank of the associated Euclidean Jordan algebra, the algorithm terminates in at most O(κr log ε-1)  iterations, which coincides with the best known iteration bound for the classical wide neighborhood algorithms. When the parameterθ =√n/βτ and Nesterov–Todd search direction is used, the algorithm has O (√r log ε−1 )iteration complexity, the best iteration complexity obtained so far by any interior-point method for solving SCP. To our knowledge, this is the first time that a class of interior-point algorithms including the classical wide neighborhood path-following algorithm is proposed and analyzed over symmetric cone.