Primal-Dual Methods and Infeasibility Detectors for Nonlinear Programming Problems
Yurii Nesterov (),
Michael Todd and
Yinyu Ye
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Yurii Nesterov: Center for Operations Research and Econometrics (CORE), Université catholique de Louvain (UCL), Louvain la Neuve, Belgium
Yinyu Ye: The University of Iowa, Iowa City
No 1996037, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)
Abstract:
In this paper we present several "infeasible-start" path-following and potential-reduction primal-dual interior-point methods for nonlinear conic problems. These methods try to find a recession direction of the feasible set of a self-dual homogeneous primal-dual problem. The methods under consideration generate an E -solution for an E- perturbation of an initial strictly (primal and dual) feasible problem in O [square root. v ln(v /e pf)] iterations, where v is the parameter of a self-concordant barrier for the cone, E is a relative accuracy and pf is a feasibility measure. We also discuss the behavior of path-following methods as applied to infeasible problems. We prove that strict infeasibility (primal or dual) can be detected in O [square root. v ln(v /p)] iterations, where p. is a primal or dual infeasibility measure.
Date: 1996-08-01
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvco:1996037
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