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Predictor-Corrector Smoothing Newton Method,Based on a New Smoothing Function,for Solving the Nonlinear Complementarity Problem with a P 0 Function
Authors:Huang  ZH  Han  J  Chen  Z
Institution:(1) Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Institute of Applied Mathematics, Beijing, PRC;(2) Department of Mathematics, Suzhou University, Suzhou, Jiangsu Province, PRC
Abstract:By smoothing a perturbed minimum function, we propose in this paper a new smoothing function. The existence and continuity of a smooth path for solving the nonlinear complementarity problem (NCP) with a P 0 function are discussed. We investigate the boundedness of the iteration sequence generated by noninterior continuation/smoothing methods under the assumption that the solution set of the NCP is nonempty and bounded. Based on the new smoothing function, we present a predictor-corrector smoothing Newton algorithm for solving the NCP with a P 0 function, which is shown to be globally linearly and locally superlinearly convergent under suitable assumptions. Some preliminary computational results are reported.
Keywords:Nonlinear complementarity problems  boundedness of iteration sequence  predictor-corrector smoothing Newton method  global linear convergence  local superlinear convergence
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