A predictor-corrector interior-point algorithmfor monotone variational inequality problems

Mehrotra' s recent suggestion of a predictor-eorrector variant of primal-dual interior-point method for linear programming is currently the interior-point method of choice for linear programming.In this work the authors give a predictor-corrector interior-point algorithm for monotone variationa...

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Published inJournal of Zhejiang University. Science Vol. 3; no. 3; pp. 321 - 325
Main Author 梁昔明 钱积新
Format Journal Article
LanguageEnglish
Published 2002
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ISSN1009-3095

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Summary:Mehrotra' s recent suggestion of a predictor-eorrector variant of primal-dual interior-point method for linear programming is currently the interior-point method of choice for linear programming.In this work the authors give a predictor-corrector interior-point algorithm for monotone variational inequality problems. The algorithm was proved to be equivalent to a level-1 perturbed composite Newton method. Computations in the algorithm do not require the initial iteration to be feasible. Numerical results of experiments are presented.
Bibliography:33-1236/Z
O221.1
ISSN:1009-3095