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  • 标题:Primal-dual interior-point methods with asymmetric barriers
  • 本地全文:下载
  • 作者:Yu. NESTEROV
  • 期刊名称:CORE Discussion Papers / Center for Operations Research and Econometrics (UCL), Louvain
  • 出版年度:2008
  • 卷号:1
  • 出版社:Center for Operations Research and Econometrics (UCL), Louvain
  • 摘要:In this paper we develop several polynomial-time interior-point methods (IPM) for solving nonlinear primal-dual conic optimization problem. We assume that the barriers for the primal and the dual cone are not conjugate. This broken symmetry does not allow to apply the standard primal-dual IPM. However, we show that in this situation it is also possible to develop very efficient optimization methods, which satisfy all desired qualities, including the infeasible-start features. Our technique is based on asymmetric primal-dual barrier augmented by squared residual of the primal-dual linear system.
  • 关键词:conic optimization, self-concordant barriers, polynomial-time methods, interior-point methods, path-following methods, potential-reduction methods, infeasible start.
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