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Convergence Analysis of Modified Hybrid Steepest-Descent Methods with Variable Parameters for Variational Inequalities

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Abstract

Assume that F is a nonlinear operator on a real Hilbert space H which is η-strongly monotone and κ-Lipschitzian on a nonempty closed convex subset C of H. Assume also that C is the intersection of the fixed-point sets of a finite number of nonexpansive mappings on H. We construct an iterative algorithm with variable parameters which generates a sequence {x n } from an arbitrary initial point x 0H. The sequence {x n } is shown to converge in norm to the unique solution u of the variational inequality \(\langle F(u^{\ast}), v - u^{\ast}\rangle \geq 0, \quad \forall v \in C.\)

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References

  1. Kinderlehrer, D., and Stampacchia, G., An Introduction to Variational Inequalities and Their Applications, Academic Press, New York, NY, 1980.

    MATH  Google Scholar 

  2. Glowinski, R., Numerical Methods for Nonlinear Variational Problems, Springer, New York, NY, 1984.

    MATH  Google Scholar 

  3. Jaillet, P., Lamberton, D., and Lapeyre, B., Variational Inequalities and the Princing of American Options, Acta Applicandae Mathematicae, Vol. 21, pp. 263–289, 1990.

    Article  MATH  MathSciNet  Google Scholar 

  4. Oden, J. T., Qualitative Methods on Nonlinear Mechanics, Prentice-Hall, Englewood Cliffs, New Jersey, 1986.

    Google Scholar 

  5. Zeidler, E., Nonlinear Functional Analysis and Its Applications, III: Variational Methods and Applications, Springer, New York, NY, 1985.

    Google Scholar 

  6. Yao, J. C., Variational Inequalities with Generalized Monotone Operators, Mathematics of Operations Research, Vol. 19, pp. 691–705, 1994.

    Article  MATH  MathSciNet  Google Scholar 

  7. Konnov, I., Combined Relaxation Methods for Variational Inequalities, Springer, Berlin, Germany, 2001.

    MATH  Google Scholar 

  8. Zeng, L. C., Iterative Algorithm for Finding Approximate Solutions to Completely Generalized Strongly Nonlinear Quasivariational Inequalities, Journal of Mathematical Analysis and Applications, Vol. 201, pp. 180–194, 1996.

    Article  MATH  MathSciNet  Google Scholar 

  9. Zeng, L. C., Completely Generalized Strongly Nonlinear Quasicomplementarity Problems in Hilbert Spaces, Journal of Mathematical Analysis and Applications, Vol. 193, pp. 706–714, 1995.

    Article  MATH  MathSciNet  Google Scholar 

  10. Zeng, L. C., On a General Projection Algorithm for Variational Inequalities, Journal of Optimization Theory and Applications, Vol. 97, pp. 229–235, 1998.

    Article  MATH  MathSciNet  Google Scholar 

  11. Yamada, I., The Hybrid Steepest-Descent Method for Variational Inequality Problems over the Intersection of the Fixed-Point Sets of Nonexpansive Mappings, Inherently Parallel Algorithms in Feasibility and Optimization and Their Applications, Edited by D. Butnariu, Y. Censor, and S. Reich, North-Holland, Amsterdam, Holland, pp. 473–504, 2001.

    Google Scholar 

  12. Deutsch, F., and Yamada. I., Minimizing Certain Convex Functions over the Intersection of the Fixed-Point Sets of Nonexpansive Mappings, Numerical Functional Analysis and Optimization, Vol. 19, pp. 33–56, 1998.

    MATH  MathSciNet  Google Scholar 

  13. Lions, P.L., Approximation de Points Fixes de Contractions, Comptes Rendus de L'Academie des Sciences de Paris, Vol. 284, pp. 1357–1359, 1977.

    MATH  Google Scholar 

  14. Bauschke, H. H., The Approximation of Fixed Points of Compositions of Nonexpansive Mappings in Hilbert Spaces, Journal of Mathematical Analysis and Applications, Vol. 202, pp. 150–159, 1996.

    Article  MATH  MathSciNet  Google Scholar 

  15. Wittmann, R., Approximation of Fixed Points of Nonexpansive Mappings, Archiv der Mathematik, Vol. 58, pp. 486–491, 1992.

    Article  MATH  MathSciNet  Google Scholar 

  16. Xu, H. K., and Kim, T. H., Convergence of Hybrid Steepest-Descent Methods for Variational Inequalities, Journal of Optimization Theory and Applications, Vol. 119, pp. 185–201, 2003.

    Article  MATH  MathSciNet  Google Scholar 

  17. Xu, H. K., An Iterative Approach to Quadratic Optimization, Journal of Optimization Theory and Applications, Vol. 116, pp. 659–678, 2003.

    Article  MATH  MathSciNet  Google Scholar 

  18. Goebel, K., and Kirk, W. A., Topics on Metric Fixed-Point Theory, Cambridge University Press, Cambridge, England, 1990.

    Google Scholar 

  19. Bauschke, H. H., and Borwein, J. M., On Projection Algorithms for Solving Convex Feasibility Problems, SIAM Review, Vol. 38, pp. 376–426, 1996.

    Article  MathSciNet  Google Scholar 

  20. Engl, H. W., Hanke, M., and Neubauer, A., Regularization of Inverse Problems, Kluwer, Dordrecht, Holland, 2000.

    Google Scholar 

  21. Yamada, I., Ogura, N., and Shirakawa, N., A Numerically Robust Hybrid Steepest Descent Method for Convexly Constrained Generalized Inverse Problems, Inverse Problems, Image Analysis, and Medical Imaging, Contemporary Mathematics, Edited by Z. Nashed and O. Scherzer, Vol. 313, pp. 269–305, 2002.

    MathSciNet  Google Scholar 

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Correspondence to J. C. Yao.

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The authors thank the referees for helpful comments and suggestions

His research was partially supported by the Teaching and Research Award Fund for Outstanding Young Teachers in Higher Education Institutions of MOE, China and the Dawn Program Foundation in Shanghai

His research was partially supported by grant from the National Science Council of Taiwan

His research was partially supported by grant from the National Science Council of Taiwan

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Zeng, L.C., Wong, N.C. & Yao, J.C. Convergence Analysis of Modified Hybrid Steepest-Descent Methods with Variable Parameters for Variational Inequalities. J Optim Theory Appl 132, 51–69 (2007). https://doi.org/10.1007/s10957-006-9068-x

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  • DOI: https://doi.org/10.1007/s10957-006-9068-x

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