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    A regularized smoothing Newton method for symmetric cone complementarity problems

    200394_114511_81779_publication.pdf (270.5Kb)
    Access Status
    Open access
    Authors
    Kong, L.
    Sun, Jie
    Xiu, N.
    Date
    2008
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Kong, L. and Sun, J. and Xiu, N. 2008. A regularized smoothing Newton method for symmetric cone complementarity problems. SIAM Journal on Optimization. 19 (3): pp. 1028-1047.
    Source Title
    SIAM Journal on Optimization
    DOI
    10.1137/060676775
    ISSN
    1052-6234
    Remarks

    Copyright © 2008 Society for Industrial and Applied Mathematics

    URI
    http://hdl.handle.net/20.500.11937/46475
    Collection
    • Curtin Research Publications
    Abstract

    This paper extends the regularized smoothing Newton method in vector complementarity problems to symmetric cone complementarity problems (SCCP), which includes the nonlinear complementarity problem, the second-order cone complementarity problem, and the semidefinite complementarity problem as special cases. In particular, we study strong semismoothness and Jacobian nonsingularity of the total natural residual function for SCCP. We also derive the uniform approximation property and the Jacobian consistency of the Chen–Mangasarian smoothing function of the natural residual. Based on these properties, global and quadratical convergence of the proposed algorithm is established.

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