Improving the convergence of noninterior point algorithms for nonlinear complementarity problems
Authors:
Liqun Qi and Defeng Sun
Journal:
Math. Comp. 69 (2000), 283304
MSC (1991):
Primary 90C33; Secondary 90C30, 65H10
Published electronically:
February 19, 1999
MathSciNet review:
1642766
Fulltext PDF Free Access
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Abstract: Recently, based upon the ChenHarkerKanzowSmale smoothing function and the trajectory and the neighbourhood techniques, Hotta and Yoshise proposed a noninterior point algorithm for solving the nonlinear complementarity problem. Their algorithm is globally convergent under a relatively mild condition. In this paper, we modify their algorithm and combine it with the superlinear convergence theory for nonlinear equations. We provide a globally linearly convergent result for a slightly updated version of the HottaYoshise algorithm and show that a further modified HottaYoshise algorithm is globally and superlinearly convergent, with a convergence order , under suitable conditions, where is an additional parameter.
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 J. Burke and S. Xu, ``The global linear convergence of a noninterior pathfollowing algorithm for linear complementarity problem", to appear in Mathematics of Operations Research.
 2.
 J. Burke and S. Xu, ``A noninterior predictorcorrector path following algorithm for the monotone linear complementarity problem", Preprint, Department of Mathematics, University of Washington, Seattle, WA 98195, September, 1997.
 3.
 J. Burke and S. Xu, ``A noninterior predictorcorrector path following method for LCP'', in: M. Fukushima and L. Qi, eds., Reformulation  Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods, Kluwer Academic Publisher, Nowell, Maryland, pp. 4564, 1998.
 4.
 B. Chen and X. Chen, ``A global linear and local quadratic continuation smoothing method for variational inequalities with box constraints'', Preprint, Department of Management and Systems, Washington State University, Pullman, March 1997.
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 B. Chen and X. Chen, ``A global and local superlinear continuationsmoothing method for and monotone NCP'', to appear in SIAM Journal on Optimization.
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 C. Chen and O.L. Mangasarian, ``A class of smoothing functions for nonlinear and mixed complementarity problems", Computational Optimization and Applications, 5 (1996), 97138. MR 96m:90102
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 M. Fukushima, Z.Q. Luo, and J.S. Pang, ``A globally convergent sequential quadratic programming algorithm for mathematical programming problems with linear complementarity constraints'', Computational Optimization and Applications, 10 (1998), 534. CMP 98:09
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 S. Xu, ``The global linear convergence and complexity of a noninterior pathfollowing algorithm for monotone LCP based on ChenHarkerKanzowSmale smooth functions", Preprint, Department of Mathematics, University of Washington, Seattle, WA 98195, February 1997.
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Additional Information
Liqun Qi
Affiliation:
School of Mathematics, The University of New South Wales, Sydney 2052, Australia
Email:
L.Qi@unsw.edu.au
Defeng Sun
Affiliation:
School of Mathematics, The University of New South Wales, Sydney 2052, Australia
Email:
sun@maths.unsw.edu.au
DOI:
http://dx.doi.org/10.1090/S0025571899010820
PII:
S 00255718(99)010820
Keywords:
Nonlinear complementarity problem,
noninterior point,
approximation,
superlinear convergence
Received by editor(s):
June 9, 1997
Received by editor(s) in revised form:
March 9, 1998
Published electronically:
February 19, 1999
Additional Notes:
This work is supported by the Australian Research Council.
Article copyright:
© Copyright 1999
American Mathematical Society
