A New Class of Polynomial Interior-Point Algorithms for P*(κ)-Linear Complementarity Problems

Research output: Contribution to conferencePresentation

Abstract

We present a new class of short- and long-step polynomial interior-point algorithms for P*(κ)- Linear Complementarity Problems based on a new class of parametric kernel functions. This class is fairly general and includes the classical logarithmic function, the prototype self-regular function, and non-self-regular kernel functions as special cases. The iteration bounds obtained in this paper are very favorable and they match the best known existing iteration bounds

Original languageAmerican English
StatePublished - Aug 13 2007
EventInternational Conference on Continuous Optimization (ICCOPT) -
Duration: Aug 13 2007 → …

Conference

ConferenceInternational Conference on Continuous Optimization (ICCOPT)
Period08/13/07 → …

Keywords

  • Algorithms
  • Interior-Point
  • Linear Complementarity Problems
  • Polynomial

DC Disciplines

  • Mathematics
  • Physical Sciences and Mathematics

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