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Global linear and quadratic one-step smoothing newton method for vertical linear complementarity problems

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Abstract

A one-step smoothing Newton method is proposed for solving the vertical linear complementarity problem based on the so-called aggregation function. The proposed algorithm has the following good features: (i) It solves only one linear system of equations and does only one line search at each iteration; (ii) It is well-defined for the vertical linear complementarity problem with vertical block P 0 matrix and any accumulation point of iteration sequence is its solution. Moreover, the iteration sequence is bounded for the vertical linear complementarity problem with vertical block P 0 +R 0 matrix; (iii) It has both global linear and local quadratic convergence without strict complementarity. Many existing smoothing Newton methods do not have the property (iii).

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Communicated by Zuphang Shi-sheng

Foundation items: the National Natural Science Foundation of China (10201001); the National Outstanding Young Investigator Grant (70225005)

Biography: Zuphang Li-ping (1970≈)

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Li-ping, Z., Zi-you, G. Global linear and quadratic one-step smoothing newton method for vertical linear complementarity problems. Appl Math Mech 24, 738–746 (2003). https://doi.org/10.1007/BF02437876

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  • DOI: https://doi.org/10.1007/BF02437876

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Chinese Library Classification

2000 MR Subject Classification

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