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Cybernetics And Systems Analysis
International Theoretical Science Journal
UDC 517.988
Ya.I. Vedel1, G.V. Sandrakov2, V.V. Semenov3


1 Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

yana.vedel@gmail.com

2 Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

gsandrako@gmail.com

3 Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

semenov.volodya@gmail.com

AN ADAPTIVE TWO-STAGE PROXIMAL ALGORITHM FOR EQUILIBRIUM PROBLEMS
IN HADAMARD SPACES

Abstract. Equilibrium problems in Hadamard metric spaces are considered in the paper. For an approximate solution of problems, a new iterative adaptive two-stage proximal algorithm is proposed and analyzed. In contrast to the previously used rules for choosing the step size, the proposed algorithm does not calculate bifunction values at additional points and does not require knowledge of the value of bifunction’s Lipschitz constants. For pseudo-monotone bifunctions of Lipschitz type, the theorem on weak convergence of the sequences generated by the algorithm is proved. It is shown that the proposed algorithm is applicable to pseudo-monotone variational inequalities in Hilbert spaces.

Keywords: Hadamard space, equilibrium problem, pseudo-monotonicity, two-stage proximal algorithm, adaptivity, convergence.



FULL TEXT

REFERENCES

  1. Kassay G., Radulescu V.D. Equilibrium problems and applications. London: Academic Press, 2019. xx+419 p.

  2. Combettes P.L., Hirstoaga S.A. Equilibrium programming in Hilbert spaces. J. Nonlinear Convex Anal. 2005. Vol. 6. P. 117–136.

  3. Antipin A.S. Equilibrium programming: Proximal methods. Comput. Math. Math. Phys. 1997. Vol. 37. P. 1285–1296. https://doi.org/10.1134/S0965542507120044.

  4. Mastroeni G. On auxiliary principle for equilibrium problems. In: Daniele P. et al. (Eds.). Equilibrium problems and variational models. Dordrecht: Kluwer Academic Publishers, 2003. P. 289–298. https://doi.org/10.1007/978-1-4613-0239-1.

  5. Quoc T.D., Muu L.D., Hien N.V. Extragradient algorithms extended to equilibrium problems. Optimization. 2008. Vol. 57. P. 749–776. https://doi.org/10.1080/02331930601122876.

  6. Semenov V.V. On the parallel proximal decomposition method for solving the problems of convex optimization. Journal of Automation and Information Sciences. 2010. Vol. 42, Iss. 4. P. 13–18. https://doi.org/10.1615/JAutomatInfScien.v42.i4.20.

  7. Lyashko S.I., Semenov V.V., Voitova T.A. Low-cost modification of Korpelevich’s methods for monotone equilibrium problems. Cybernetics and Systems Analysis. 2011. Vol. 47, N 4. P. 631–639. https://doi.org/10.1007/s10559-011-9343-1.

  8. Semenov V.V. Strongly convergent algorithms for variational inequality problem over the set of solutions the equilibrium problems. In: Zgurovsky M.Z. and Sadovnichiy V.A. (Eds.). Continuous and Distributed Systems. Solid Mechanics and Its Applications. Vol. 211. Springer International Publishing Switzerland, 2014. P. 131–146. https://doi.org/10.1007/978-3-319-03146-0_10.

  9. Lyashko S.I., Semenov V.V. A new two-step proximal algorithm of solving the problem of equilibrium programming. In: Goldengorin B. (Ed.). Optimization and Its Applications in Control and Data Sciences. Springer Optimization and Its Applications. Vol. 115. Cham: Springer, 2016. P. 315–325. https://doi.org/10.1007/978-3-319-42056-1_10.

  10. Chabak L., Semenov V., Vedel Y. A new non-euclidean proximal method for equilibrium problems. In: Chertov O., Mylovanov T., Kondratenko Y., Kacprzyk J., Kreinovich V., Stefanuk V. (Eds.). Recent Developments in Data Science and Intelligent Analysis of Information. ICDSIAI 2018. Advances in Intelligent Systems and Computing. Vol. 836. Cham: Springer, 2019. P. 50–58. https://doi.org/10.1007/978-3-319-97885-7_6.

  11. Colao V., Lopez G., Marino G., Martin-Marquez V. Equilibrium problems in Hadamard manifolds. Journal of Mathematical Analysis and Applications. 2012. Vol. 388. P. 61–77. https://doi.org/ 10.1016/j.jmaa.2011.11.001.

  12. Khatibzadeh H., Mohebbi V. Monotone and pseudo-monotone equilibrium problems in Hadamard spaces. Journal of the Australian Mathematical Society. 2019. P. 1–23. https://doi.org/ 10.1017/S1446788719000041.

  13. Khatibzadeh H., Mohebbi V. Approximating solutions of equilibrium problems in Hadamard spaces. Miskolc Mathematical Notes. 2019. Vol. 20, N 1. P. 281–297. https://doi.org/10.18514/MMN.2019.2361.

  14. Kinderlehrer D., Stampacchia G. An introduction to variational inequalities and their applications. New York: Academic Press, 1980. Russian transl., Moscow: Mir, 1983. 256 p.

  15. Sandrakov G.V. Homogenization of variational inequalities for non-linear diffusion problems in perforated domains. Izvestiya Mathematics. 2005. Vol. 69, Iss. 5. P. 1035–1059. http://dx.doi.org/ 10.1070/IM2005v069n05ABEH002287.

  16. Korpelevich G.M. An extragradient method for finding saddle points and for other problems. Matecon. 1976. Vol. 12, N 4. P. 747–756.

  17. Nemirovski A. Prox-method with rate of convergence O(1/T) for variational inequalities with Lipschitz continuous monotone operators and smooth convex-concave saddle point problems. SIAM J. Optim. 2004. Vol. 15, Iss. 1. P. 229–251. https://doi.org/10.1137/S1052623403425629.

  18. Denisov S.V., Semenov V.V., Stetsyuk P.I. Bregman extragradient method with monotone rule of step adjustment. Cybernetics and Systems Analysis. 2019. Vol. 55, N 3. P. 377–383. https://doi.org/ 10.1007/s10559-019-00144-5.

  19. Stonyakin F.S. On the adaptive proximal method for a class of variational inequalities and related problems. Trudy Inst. Mat. i Mekh. UrO RAN. 2019. Vol. 25, N 2. P. 185–197. https://doi.org/ 10.21538/0134-4889-2019-25-2-185-197.

  20. Stonyakin F.S., Vorontsova E.A., Alkousa M.S. New version of mirror prox for variational inequalities with adaptation to inexactness. In: Jaimovi M., Khachay M., Malkova V., Posypkin M. (Eds.). Optimization and Applications. OPTIMA 2019. Communications in Computer and Information Science. Vol 1145. Cham: Springer, 2020. P. 427–442. https://doi.org/10.1007/ 978-3-030-38603-0_31.

  21. Semenov V.V. A strongly convergent splitting method for systems of operator inclusions with monotone operators. Journal of Automation and Information Sciences. 2014. Vol. 46, Iss. 5. P. 45–56. https://doi.org/10.1615/JAutomatInfScien.v46.i5.40.

  22. Semenov V.V. Hybrid splitting methods for the system of operator inclusions with monotone operators. Cybernetics and Systems Analysis. 2014. Vol. 50, N 5. P. 741–749. https://doi.org/ 10.1007/s10559-014-9664-y.

  23. Verlan D.A., Semenov V.V., Chabak L.M. A strongly convergent modified extragradient method for variational inequalities with non-Lipschitz operators. Journal of Automation and Information Sciences. 2015. Vol. 47, Iss. 7. P. 31–46. https://doi.org/10.1615/JAutomatInfScien.v47.i7.40.

  24. Semenov V.V. Modified extragradient method with Bregman divergence for variational inequalities. Journal of Automation and Information Sciences. 2018. Vol. 50, Iss. 8. P. 26–37. https://doi.org/ 10.1615/JAutomatInfScien.v50.i8.30.

  25. Denisov S.V., Nomirovskii D.A., Rublyov B.V., Semenov V.V. Convergence of extragradient algorithm with monotone step size strategy for variational inequalities and operator equations. Journal of Automation and Information Sciences. 2019. Vol. 51, Iss. 6. P. 12–24. https://doi.org/ 10.1615/JAutomatInfScien.v51.i6.20.

  26. Popov L.D. A modification of the Arrow-Hurwicz method for search of saddle points. Mathematical notes of the Academy of Sciences of the USSR. 1980. Vol, 28. Iss. 5. P. 845–848. https://doi.org/ 10.1007/BF01141092.

  27. Semenov V.V. A version of the mirror descent method to solve variational inequalities. Cybernetics and Systems Analysis. 2017. Vol. 53, N 2. P. 234–243. https://doi.org/10.1007/s10559-017-9923-9.

  28. Nomirovskii D.A., Rublyov B.V., Semenov V.V. Convergence of two-stage method with Bregman divergence for solving variational inequalities. Cybernetics and Systems Analysis. 2019. Vol. 55, N 3. P. 359–368. https://doi.org/10.1007/s10559-019-00142-7.

  29. Bacak M. Convex analysis and optimization in Hadamard spaces. Berlin; Boston: De Gruyter, 2014. viii+185 p.

  30. Vedel Ya.I., Sandrakov G.V., Semenov V.V., Chabak L.M. Convergence of a two-stage proximal algorithm for the equilibrium problem in Hadamard spaces. Kibernetika i sistemnyj analiz. 2020. Vol. 56, N 5. P. 115–125.

  31. Kirk W., Shahzad N. Fixed point theory in distance spaces. Cham: Springer, 2014. xii+173 p. https://doi.org/10.1007/978-3-319-10927-5.

  32. Burago D., Burago Yu., Ivanov S. A course in metric geometry. Graduate Studies in Mathematics. Vol. 33. Providence: AMS, 2001. xiv+415 p.

  33. Gidel G., Berard H., Vincent P., Lacoste-Julien S. A variational inequality perspective on generative adversarial networks. arXiv preprint arXiv:1802.10551. 2018.
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