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PREDICTOR-CORRECTOR METHOD FOR NONLINEAR COMPLEMENTARITY PROBLEM

PREDICTOR-CORRECTOR METHOD FOR NONLINEAR COMPLEMENTARITY PROBLEM
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摘要 Recently, Ye et al.[2] proved that the predictor-corrector method proposed by Mizuno et al[1] maintains O( L)-iteration complexity while exhibiting the quadratic convergence of the dual gap to zero under very mild conditions. This impressive result becomes the best-known in the interior point methods. In this paper, we modify the predictor-corrector method and then extend it to solving the nonlinear complementarity problem. We prove that the new method has a ( log(1/ε))-iteration complexity while maintaining the quadratic asymptotic convergence. Recently, Ye et al.[2] proved that the predictor-corrector method proposed by Mizuno et al[1] maintains O( L)-iteration complexity while exhibiting the quadratic convergence of the dual gap to zero under very mild conditions. This impressive result becomes the best-known in the interior point methods. In this paper, we modify the predictor-corrector method and then extend it to solving the nonlinear complementarity problem. We prove that the new method has a ( log(1/ε))-iteration complexity while maintaining the quadratic asymptotic convergence.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1997年第3期321-328,共6页 应用数学学报(英文版)
关键词 Interior point method nonlinear complementarity problem monotone mapping complexity quadratic convergence Interior point method, nonlinear complementarity problem, monotone mapping,complexity, quadratic convergence
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