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Modified Combined Relaxation Method for General Monotone Equilibrium Problems in Hilbert Spaces

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Abstract

In this paper, we study a class of general monotone equilibrium problems in a real Hilbert space which involves a monotone differentiable bifunction. For such a bifunction, a skew-symmetric type property with respect to the partial gradients is established. We suggest to solve this class of equilibrium problems with the modified combined relaxation method involving an auxiliary procedure. We prove the existence and uniqueness of the solution to the auxiliary variational inequality in the auxiliary procedure. Further, we prove also the weak convergence of the modified combined relaxation method by virtue of the monotonicity and the skew-symmetric type property.

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References

  1. 1. Baiocchi, C., and Capelo, A., Variational and Quasivariational Inequalites: Applications to Free Boundary Problems, John Wiley and Sons, New York, NY, 1984.

    Google Scholar 

  2. 2. Blum, E., and Oettli, W., From Optimization and Variational Inequalities to Equilibrium Problems, Mathematics Student, Vol. 63, pp. 123–145, 1994.

    MathSciNet  Google Scholar 

  3. 3. Hadjisavvas, N., and Schaible, S., Quasimonotonicity and Pseudomonotonicity in Variational Inequalities and Equilibrium Problems, Generalized Convexity, Generalized Monotonicity, Edited by J. P. Crouzeix, J. E. Martinez-Legaz, and M. Volle, Kluwer Academic Publishers, Dordrecht, Netherlands, pp. 257–275, 1998.

    Google Scholar 

  4. 4. Demyanov, V. F., and Pevnyi, A. B., Numerical Methods for Finding Saddle Points, USSR Computational Mathematics and Mathematical Physics, Vol. 12, pp. 11–52, 1972.

    Article  Google Scholar 

  5. 5. Golshtein, E. G., and Tretyakov, N. V., Augmented Lagrange Functions, Nauka, Moscow, 1989 (in Russian).

    Google Scholar 

  6. 6. Polyak, B. T., Introduction to Optimization, Optimization Software, New York, NY, 1987.

    Google Scholar 

  7. 7. Konnov, I. V., Combined Subgradient Methods for Finding Saddle Points, Russian Mathematics, Vol. 36, pp. 30–33, 1992.

    MathSciNet  Google Scholar 

  8. 8. Konnov, I. V., A Two-Level Subgradient Method for Finding Equilibrium Points and Solving Related Problems, USSR Computational Mathematics and Mathematical Physics, Vol. 33, pp. 453–459, 1993.

    MathSciNet  Google Scholar 

  9. 9. Konnov, I. V., Combined Relaxation Methods for Finding Equilibrium Points and Solving Related Problems, Russian Mathematics, Vol. 37, pp. 44–51, 1993.

    MathSciNet  Google Scholar 

  10. 10. Konnov, I. V., Combined Relaxation Method for Monotone Equilibrium Problems, Journal of Optimization Theory and Applications, Vol. 111, pp. 327–340, 2001.

    Article  MathSciNet  Google Scholar 

  11. 11. Zoutendijk, G., Methods of Feasible Directions, Elsevier, Amsterdam, Netherlands, 1960.

    MATH  Google Scholar 

  12. 12. More, J., and Toraldo, G., Algorithms for Bound-Constrained Quadratic Programming Problems, Numerische Mahematik, Vol. 55, pp. 377–400, 1989.

    Article  MathSciNet  Google Scholar 

  13. 13. Madsen, K., Nielsen, H. B., and Pinar, M. C., Bound-Constrained Quadratic Programming via Piecewise-Quadratic Functions, Mathematical Programming, Vol. 85, pp. 135–156, 1999.

    Article  MathSciNet  Google Scholar 

  14. 14. Madsen, K., Nielsen, H. B., and Pinar, M. C., A Finite Continuation Algorithm for Bound-Constrained Quadratic Programming, SIAM Journal on Optimization, Vol. 9, pp. 62–83, 1999.

    Article  MathSciNet  Google Scholar 

  15. 15. Konnov, I. V., Methods for Solving Finite-Dimensional Variational Inequalities, DAS, Kazan, Russia, 1998 (in Russian).

    Google Scholar 

  16. 16. Fan, K., A Generalization of Tychonoff's Fixed-Point Problem, Mathematische Annalen, Vol. 142, pp. 305–310, 1961.

    Article  MathSciNet  Google Scholar 

  17. 17. Tan, K. K., and Xu, H. K., Approximating Fixed Points of Nonexpansive Mappings by the Ishikawa Iteration Process, Journal of Mathematical Analysis and Applications, Vol. 178, pp. 301–308, 1993.

    Article  MathSciNet  Google Scholar 

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Communicated by F. Giannessi

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

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

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Zeng, L.C., Yao, J.C. Modified Combined Relaxation Method for General Monotone Equilibrium Problems in Hilbert Spaces. J Optim Theory Appl 131, 469–483 (2006). https://doi.org/10.1007/s10957-006-9162-0

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