Abstract
In this paper, we focus on the identification of the degenerate indices of the nonlinear complementarity problem under the local error bound condition. Under this condition, the complementarity problems may fail to have non-singularity or local uniqueness at its solutions. We present an active-set Levenberg–Marquardt method, which introduces an estimated set to approximate the degenerate indices of the solutions. When near the solution, the degenerate indices will be correctly identified and the original problem will be transformed to a reduced problem. This method has global convergence. Under the local error bound condition, local superlinear convergence is obtained as well.
Similar content being viewed by others
References
Facchinei, F., Fischer, A., Kanzow, C.: On the accurate identification of active constraints. SIAM. J. Optim. 9, 14–32 (1998)
Kanzow, C., Qi, H.D.: A QP-free constrained Newton-type method for variational inequality problems. Math. Prog. 85, 81–106 (1999)
Yu, H.D., Pu, D.G.: Smoothing Newton method for NCP with the identification of degenerate indices. J. Comput. Appl. Math. 234, 3424–3435 (2010)
Yamashita, N., Dan, H., Fukushima, F.: On the identification of degenerate indices in the nonlinear complementarity problem with the proximal point algorithm. Math. Prog. 99, 377–397 (2004)
Yamashita, N., Fukushima, F.: The proximal point algorithm with genuine superlinear convergence for the monotone complementarity problem. SIAM J. Optim. 11, 364–379 (2001)
HäuBler, W.M.: A local convergence analysis for the gauss-newton and Levenberg–Morrison–Marquardt algorithms. Computing 31, 231–244 (1983)
Ueda, K., Yamashita, N.: Global complexity bound analysis of the Levenberg–Marquardt method for nonsmooth equations and its application to the nonlinear complementarity problem. J. Optim. Theory Appl. 152, 450–467 (2012)
Behling, R., Fischer, A.: A unified local convergence analysis of inexact constrained Levenberg–Marquardt methods. Optim. Lett. 6, 927–940 (2012)
Zhou, W., Chen, X.: On the convergence of a modified regularized Newton method for convex optimization with singular solutions. J. Comput. Appl. Math. 239, 179–188 (2013)
Zhu, D.: Affine scaling interior Levenberg–Marquardt method for bound-constrained semismooth equations under local error bound conditions. J. Comput. Appl. Math. 219, 198–215 (2008)
Zhang, J., Zhang, X.: A smoothing Levenberg–Marquardt method for NCP. Appl. Math. Comput. 178, 212–228 (2006)
Yu, H.D., Pu, D.G.: Smoothing Levenberg–Marquardt method for general nonlinear complementarity problems under local error bound. Appl. Math. Model. 35, 1337–1348 (2011)
Yamashita, N., Fukushima, M.: On the rate of convergence of the Levenberg–Marquardt method. Computing 15, 239–249 (2001)
Dan, H., Yamashita, N., Fukushima, M.: Convergence properties of the inexact Levenberg–Marquardt method under local error bound conditions. Optim. Methods Softw. 17, 605–626 (2002)
Fan, J.Y., Yuan, Y.X.: On the quadratic convergence of the Levenberg–Marquardt method without nonsingularity assumption. Computing 74, 23–39 (2005)
Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley, New York (1983)
Facchinei, F., Fischer, A., Kanzow, C.: Regularity properties of a semismooth reformulation of variational inequalities. SIAM. J. Optim. 8, 850–869 (1998)
Qi, L.: C-differentiability, C-differential operators and generalized newton methods. Applied Mathematics Report AMR96/5, University of New South Wales, Sydney, Australia (1996)
Kanzow, C., Pieper, H.: Jacobian smoothing methods for nonlinear complementarity problems. SIAM. J. Optim. 9, 342–373 (1999)
Mathiesen, L.: An algorithm based on a sequence of a linear complementarity problems applied to a Walrasion equilibrium model: An example. Math. Prog. 37, 1–18 (1987)
Acknowledgments
This work is supported by National Natural Science Foundation of China (11401384), the Scientific Research Foundation for youth teachers of Lixin University of Commerce (2014QNYB17).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yu, H. An active-set Levenberg–Marquardt method for degenerate nonlinear complementarity problem under local error bound conditions. J. Appl. Math. Comput. 52, 191–213 (2016). https://doi.org/10.1007/s12190-015-0937-z
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12190-015-0937-z
Keywords
- Nonlinear complementarity problems
- Degenerate indices
- Local error bound condition
- Global convergence
- Superlinearly convergence