Abstract
In this paper, we consider a Levenberg-Marquardt method for the solution of constrained nonlinear equation problems. The global convergence is established even without requiring the existence of an accumulation point. Some numerical tests are also presented.
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S. Bellavia, M. Macconi and B. Morini,An affine scale trust region algorithm for bound constrained nonlinear systems, Technique Report, Dipartimento di Energeticn, university of Florence, Italy, 2001.
C. Kanzow,An active set type Newton method for constrained nonlinear systems, In: M. C. Ferris, O. L. Mangasarian and J. S. Pang (eds), Complementarity: Application, Algorithms, and extensions, Kluwer Academic Publishers, 2001, 179–200.
C. Kanzow,Strictly feasible equation-based methods for mixed complementarity problems, Numerische Mathematik, 2001, 89:135–160.
D. N. Kozakevich, J. M. Martinez and S. A. Santos,Solving nonlinear system of equation with simple bounded constraints, Journal of Computation and Applied Mathematics. 1997, 16:215–235.
R. D. C. Monteiro and J. S. Pang,A potential reduction Newton method for constrained equations, Siam J. Optim, 1999, 9:729–754.
M. Ulbrich,Nonmonotone trust region method for bound-constrained semismooth equation with application to mixed complementarity problems, Siam J. Optim, 2001, 11: 889–917.
F. Facchinei, A. Fischer, C. Kanzow and J. M. Peng,A simply constrained optimization reformulation of KKT systems arising from variational inequalities, Applied Mathematics and Optimization, 1999, 40:19–37.
C. Kanzow,An inexact QP-based methods for nonlinear complementarity problems, Numerische Mathematik, 1998, 80:557–577.
C. Kanzow, N. Yamashita and M. Fukushima,Levenberg-Marquardt methods for constrained nonlinear equation with strong local convergence properties, Technique Report, Department of Applied Mathematics and Physics, Kyoto University, April, 2002.
H. Dan, N. Yamashita, and M. Fukushima,Convergence properties of the inexact Levenberg-Marquardt method under local error bound conditions Technical Report 2001-001, Department of Applied Mathematics and Physics, Kyoto University (January 2001).
C. A. Floudas, P. M. Pardalos, C. S. Adjiman W. R. Esposito, Z. H. Gumus, S. T. Harding, J. L. Klepeis, C. A. Meyer and C. A. Schweiger,Handbook of Test Problems in Local and Global Optimization, Nonconvex optimization and Its Applications, 33, Kluwer Acdemic Publishers, 1999.
J. Y. Fan and Y. X. Yuan,On the convergence of a new Levenberg-Marquardt method, Technique Report, AMMS, Chinese Academic of Sciences, 2001.
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This work was supported by the National Natural Science Foundation of China (Grant No. 10171055).
Zhensheng Yu received his BS from Qufu Normal University in 2001. He is now a docterate student in Dalian University of Technology. His research intrests cover optimization theory and algorithm.
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Yu, Z. On the global convergence of a Levenberg-Marquardt method for constrained nonlinear equations. JAMC 16, 183–194 (2004). https://doi.org/10.1007/BF02936160
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DOI: https://doi.org/10.1007/BF02936160