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 in | Journal of Zhejiang University. Science Vol. 3; no. 3; pp. 321 - 325 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
2002
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Subjects | |
Online Access | Get full text |
ISSN | 1009-3095 |
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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. |
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Bibliography: | 33-1236/Z O221.1 |
ISSN: | 1009-3095 |