Abstract
We study the complexity of a noninterior path-following method for the linear complementarity problem. The method is based on the Chen–Harker–Kanzow–Smale smoothing function. It is assumed that the matrix M is either a P-matrix or symmetric and positive definite. When M is a P-matrix, it is shown that the algorithm finds a solution satisfying the conditions Mx-y+q=0 and \(\left\| {{\text{min\{ }}x,y{\text{\} }}} \right\|_\infty \leqslant \varepsilon \) in at most
Newton iterations; here, β and µ0 depend on the initial point, l(M) depends on M, and ɛ> 0. When Mis symmetric and positive definite, the complexity bound is
where
and \(\lambda _{\min } (M),\lambda _{\max } (M)\) are the smallest and largest eigenvalues of M.
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BURKE, J., and XU, S., The Global Linear Convergence of a Noninterior Path-Following Algorithm for Linear Complementarity Problems, Mathematics of Operations Research, Vol. 23, pp. 719-734, 1998.
BURKE, J., and XU, S., A Noninterior Predictor-Corrector Path-Following Algorithm for the Monotone Linear Complementarity Problem, Mathematical Programming, Vol. 87, pp. 113-130, 2000.
CHEN, B., and CHEN, X., A Global Linear and Local Quadratic Continuation Method for Variational Inequalities with Box Constraints, Computational Optimization and Applications, Vol. 17, pp. 131-158, 2000.
CHEN, B., and CHEN, X., A Global and Local Superlinear Continuation Method for P 0 + R 0 and Monotone NCP, SIAM Journal on Optimization, Vol. 9, pp. 605-623, 1999.
CHEN, B., and HARKER, P. T., A Noninterior Point Continuation Method for Linear Complementarity Problems, SIAM Journal on Matrix Analysis and Applications, Vol. 14, pp. 1168-1190, 1993.
CHEN, B., and XIU, N., A Global Linear and Local Quadratic Noninterior Continuation Method for Nonlinear Complementarity Problems Based on Chen-Mangasarian Smoothing Functions, SIAM Journal on Optimization, Vol. 9, pp. 605-623, 1999.
CHEN, X., QI, L., and SUN, D., Global and Superlinear Convergence of the Smoothing Newton Method and Its Application to General Box-Constrained Variational Inequalities, Mathematics of Computation, Vol. 67, pp. 519-540, 1998.
CHEN, X., and YE, Y., On Homotopy-Smoothing Methods for Box-Constrained Variational Inequalities, SIAM Journal on Control and Optimization, Vol. 37, pp. 589-616, 1999.
HOTTA, K., and YOSHISE, A., Global Convergence of a Class of Noninterior Point Algorithms Using Chen-Harker-Kanzow Functions for Nonlinear Complementarity Problems, Mathematical Programming, Vol. 86, pp. 105-133, 1999.
JIANG, H., Global Convergence Analysis of the Generalized Newton and Gauss-Newton Methods for the Fischer-Burmeister Equation for the Complementarity Problem, Mathematics of Operations Research, Vol. 24, pp. 529-543, 1999.
KANZOW, C., Some Noninterior Continuation Methods for Linear Complementarity Problems, SIAM Journal on Matrix Analysis and Applications, Vol. 17, pp. 851-868, 1996.
QI, L., and SUN, D., Improving the Convergence of Noninterior Point Algorithms for Nonlinear Complementarity Problems, Mathematics of Computation, Vol. 69, pp. 283-304, 2000.
QI, L., SUN, D., and ZHOU, G., A New Look at Smoothing Newton Methods for Nonlinear Complementarity Problems and Box-Constrained Variational Inequalities, Mathematical Programming, Vol. 87, pp. 1-35, 2000.
TSENG, P., Analysis of a Noninterior Continuation Method Based on Chen-Mangasarian Smoothing Functions for Complementarity Problems, Reformulation: Nonsmooth, Piecewise Smooth, Semismooth, and Smoothing Methods, Edited by M. Fukushima and L. Qi, Kluwer Academic Publishers, Dordrecht, Holland, pp. 381-404, 1997.
XU, S., The Global Linear Conergence of an Infeasible Noninterior Path-Following Algorithm for Complementarity Problems with Uniform P-Functions, Mathematical Programming, Vol. 87, pp. 501-517, 2000.
XU, S., The Global Linear Convergence and Complexity of a Noninterior Path-Following Algorithm for Monotone LCP Based on the Chen-Harker-Kanzow-Smale Smoothing Function, Technical Report, Department of Mathematics, University of Washington, Seattle, Washington, 1997.
XU, S., and BURKE, J. V., A Polynomial-Time Interior-Point Path-Following Algorithm for LCP Based on Chen-Harker-Kanzow Smoothing Techniques, Mathematical Programming, Vol. 86, pp. 91-103, 1999.
HOTTA, K., INABA, M., and YOSHISE, A., A Complexity Analysis of a Smoothing Method Using CHKS-Functions for Monotone Linear Complementarity Problems, Computational Optimization and Applications, Vol. 17, pp. 183-201, 2000.
SMALE, S., Algorithms for Soling Equations, Proceedings of the International Congress of Mathematicians, American Mathematical Society, Providence, Rhode Island, pp. 172-195, 1987.
CHEN, C., and MANGASARIAN, O. L., A Class of Smoothing Functions for Nonlinear and Mixed Complementarity Problems, Computational Optimization and Applications, Vol. 5, pp. 1168-1190, 1996.
LUO, X. D., and TSENG, P., On a Global Projection-Type Error Bound for the Linear Complementarity Problem, Linear Algebra and Its Applications, Vol. 253, pp. 251-278, 1997.
MANGASARIAN, O. L., and REN, J., New Improved Error Bounds for the Linear Complementarity Problem, Mathematical Programming, Vol. 66, pp. 241-255, 1994.
MATHIAS, R., and PANG, J. S., Error Bounds for the Linear Complementarity Problem with a P-Matrix, Linear Algebra and Its Applications, Vol. 132, pp. 123-136, 1990.
TSENG, P., Growth Behaû ior of a Class of Merit Functions for the Nonlinear Complementarity Problem, Journal of Optimization Theory and Applications, Vol. 89, pp. 17-37, 1996.
COTTLE, R. W., PANG, J. S., and STONE, R. E., The Linear Complementarity Problem, Academic Press, New York, NY, 1992.
SMITH, R. L., Some Interlacing Properties of the Schur Complement of a Hermitian Matrix, Linear Algebra and Its Applications, Vol. 177, pp. 137-144, 1992.
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Burke, J., Xu, S. Complexity of a Noninterior Path-Following Method for the Linear Complementarity Problem. Journal of Optimization Theory and Applications 112, 53–76 (2002). https://doi.org/10.1023/A:1013040428127
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DOI: https://doi.org/10.1023/A:1013040428127