Predictor-Corrector Smoothing Newton Method, Based on a New Smoothing Function, for Solving the Nonlinear Complementarity Problem with a P 0 Function

作者: Z.H. Huang , J. Han , Z. Chen

DOI: 10.1023/A:1023648305969

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摘要: By smoothing a perturbed minimum function, we propose in this paper new function. The existence and continuity of smooth path for solving the nonlinear complementarity problem (NCP) with P 0 function are discussed. We investigate boundedness iteration sequence generated by noninterior continuation/smoothing methods under assumption that solution set NCP is nonempty bounded. Based on present predictor-corrector Newton algorithm which shown to be globally linearly locally superlinearly convergent suitable assumptions. Some preliminary computational results reported.

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