Local Self-Concordance of Barrier Functions Based on Kernel Functions

Y. Bai, Goran Lesaja, H. Mansouri, C. Roos, M. Zangiabadi

Research output: Contribution to journalArticlepeer-review

Abstract

Many efficient interior-point methods (IPMs) are based on the use of a self-concordant barrier function for the domain of the problem that has to be solved. Recently, a wide class of new barrier functions has been introduced in which the functions are not self-concordant, but despite this fact give rise to efficient IPMs. Here, we introduce the notion of locally self-concordant barrier functions and we prove that the new barrier functions are locally self-concordant. In many cases, the (local) complexity numbers of the new barrier functions along the central path are better than the complexity number of the logarithmic barrier function by a factor between 0.5 and 1.

Original languageAmerican English
JournalIranian Journal of Operations Research
Volume3
StatePublished - Jan 1 2012

Keywords

  • Kernel function
  • Linear optimization
  • Polynomial complexity
  • Primal-dual interior-point method
  • Self-concordance
  • Self-dual embedding

DC Disciplines

  • Education
  • Mathematics

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