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An inexact interior point method for monotone NCP

An inexact interior point method for monotone NCP In this paper we present an inexact Interior Point method for solving monotone nonlinear complementarity problems. We show that the theory presented by Kojima, Noma and Yoshise for an exact version of this method can be used to establish global convergence for the inexact form. Then we prove that local superlinear convergence can be achieved under some stronger hypotheses. The complexity of the algorithm is also studied under the assumption that the problem satisfies a scaled Lipschitz condition. It is proved that the feasible version of the algorithm is polynomial, while the infeasible one is globally convergent at a linear rate. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Optimization Methods and Software Taylor & Francis

An inexact interior point method for monotone NCP

31 pages

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References (16)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1029-4937
eISSN
1055-6788
DOI
10.1080/10556789908805752
Publisher site
See Article on Publisher Site

Abstract

In this paper we present an inexact Interior Point method for solving monotone nonlinear complementarity problems. We show that the theory presented by Kojima, Noma and Yoshise for an exact version of this method can be used to establish global convergence for the inexact form. Then we prove that local superlinear convergence can be achieved under some stronger hypotheses. The complexity of the algorithm is also studied under the assumption that the problem satisfies a scaled Lipschitz condition. It is proved that the feasible version of the algorithm is polynomial, while the infeasible one is globally convergent at a linear rate.

Journal

Optimization Methods and SoftwareTaylor & Francis

Published: Jan 1, 1999

Keywords: inexact interior point; nonlinear complementarity problems; polynomial complexity; rate of convergence

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