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A class of modified modulus-based synchronous multisplitting iteration methods for linear complementarity problems

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Abstract

In this paper, we present modified modulus-based synchronous multisplitting iteration methods based on multisplittings of the system matrix for solving the large sparse linear complementarity problems. The proposed methods extend the existing modulus-based synchronous multisplitting iteration methods to a more general case. We establish the convergence theory of these modified modulus-based synchronous multisplitting iteration methods when the system matrix is an H+-matrix. In particular, we investigate the optimal choice of the parameter matrices in theory. Numerical results confirm that the new iteration methods have higher parallel computational efficiency than the existing modulus-based synchronous multisplitting iteration methods. The proposed methods are applied in reconstruction of two-dimensional image data and show the efficiency.

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References

  1. Bai, Z.-Z.: Modulus-based matrix splitting iteration methods for linear complementarity problems. Numerical Linear Algebra with Applications 17, 917–933 (2010)

    MathSciNet  MATH  Google Scholar 

  2. Bai, Z.Z.: On the monotone convergence of the projected iteration methods for linear complementarity problem. Numerical Mathematics-A Journal of Chinese Universities (English Series) 5, 228–233 (1996)

    MathSciNet  MATH  Google Scholar 

  3. Bai, Z.-Z., Zhang, L.-L.: Modulus-based synchronous multisplitting iteration methods for linear complementarity problems. Numerical Linear Algebra with Applications 20, 425–439 (2013)

    MathSciNet  MATH  Google Scholar 

  4. Bai, Z.-Z., Zhang, L.-L.: Modulus-based synchronous two-stage multisplitting iteration methods for linear complementarity problems. Numer. Algorithms 62, 59–77 (2013)

    MathSciNet  MATH  Google Scholar 

  5. Bai, Z.-Z.: On the convergence of the multisplitting methods for the linear complementarity problem. SIAM J. Matrix Anal. Appl. 21, 67–78 (1999)

    MathSciNet  MATH  Google Scholar 

  6. Bai, Z.-Z., Evans, D.J.: Matrix multisplitting relaxation methods for linear complementarity problems. Int. J. Comput. Math. 63, 309–326 (1997)

    MathSciNet  MATH  Google Scholar 

  7. Bai, Z.-Z., Evans, D.J.: Matrix multisplitting methods with applications to linear complementarity problems: parallel asynchronous methods. Int. J. Comput. Math. 79, 205–232 (2002)

    MathSciNet  MATH  Google Scholar 

  8. Berman, A., Plemmons, R.J.: Nonnegative Matrix in the Mathematical Sciences. Academic Press, New York (1979)

    MATH  Google Scholar 

  9. Cottle, R.W., Pang, J.-S., Stone, R.E.: The Linear Complementarity Problem. Academic Press, San Diego (1992)

    MATH  Google Scholar 

  10. Cryer, C. W.: The solution of a quadratic programming problem using systematic overrelaxation. SIAM Journal on Control 9, 385–392 (1971)

    MathSciNet  MATH  Google Scholar 

  11. Cvetković, Lj., Kostić, V.: A note on the convergence of the MSMAOR method for linear complementarity problems. Numerical Linear Algebra with Applications 21, 534–539 (2014)

    MathSciNet  MATH  Google Scholar 

  12. Dong, J.-L., Jiang, M.-Q.: A modified modulus method for symmetric positive-definite linear complementarity problems. Numerical Linear Algebra with Applications 16, 129–143 (2009)

    MathSciNet  MATH  Google Scholar 

  13. Dong, J.-L., Gao, J.-B., Ju, F.-J., Shen, J.H.: Modulus methods for nonnegatively constrained image restoration. SIAM J. Imag. Sci. 9, 1226–1246 (2016)

    MathSciNet  MATH  Google Scholar 

  14. Ferris, M.C., Pang, J.-S.: Engineering and economic applications of complementarity problems. SIAM Rev. 39, 669–713 (1997)

    MathSciNet  MATH  Google Scholar 

  15. Huang, Y.-M., Yan, H.-Y., Wen, Y.W., Yang, X.: Rank minimization with applications to image noise removal. Inform. Sci. 429, 147–163 (2018)

    MathSciNet  MATH  Google Scholar 

  16. Huang, Y.-M., Moisan, L., Ng, M. K., Zeng, T.-Y.: Multiplicative noise removal via a learned dictionary. IEEE Trans. Image Process. 21, 4534–4543 (2012)

    MathSciNet  MATH  Google Scholar 

  17. Huang, Y.-M., Lu, D.-Y., Zeng, T.-Y.: Two-step approach for the restoration of images corrupted by multiplicative noise. SIAM J. Sci. Comput. 35, A2856–A2873 (2013)

    MathSciNet  MATH  Google Scholar 

  18. Li, W.: A general modulus-based matrix splitting iteration method for linear complementarity problems of H-matrices. Appl. Math. Lett. 26, 1159–1164 (2013)

    MathSciNet  MATH  Google Scholar 

  19. Li, W., Zheng, H.: A preconditioned modulus-based iteration method for solving linear complementarity problems of H-matrices. Linear and Multilinear Algebra 64, 1390–1403 (2016)

    MathSciNet  MATH  Google Scholar 

  20. Liu, S.-M., Zheng, H, Li, W.: A general accelerated modulus-based matrix splitting iteration method for solving linear complementarity problems. CALCOLO 53, 189–199 (2016)

    MathSciNet  MATH  Google Scholar 

  21. Machida, N., Fukushima, M., Ibaraki, T.: A multisplitting method for symmetric linear complementarity problems. J. Comput. Appl. Math. 62, 217–227 (1995)

    MathSciNet  MATH  Google Scholar 

  22. Peng, X.-F., Wang, M., Li, W.: A relaxation two-sweep modulus-based matrix splitting iteration method for linear complementarity problems. East Asian Journal on Applied Mathematics 9, 102–121 (2019)

    MathSciNet  Google Scholar 

  23. Song, Y.-Z.: Comparison theorems for splittings of matrices. Numerische Mathematik 92, 563–591 (2002)

    MathSciNet  MATH  Google Scholar 

  24. Varga, R.S.: Matrix Iterative Analysis. Springer, Berlin (2000)

    MATH  Google Scholar 

  25. Wen, B.-L., Zheng, H., Li, W., Peng, X.-F.: The relaxation modulus-based matrix splitting iteration method for solving linear complementarity problems of positive definite matrices. Appl. Math. Comput. 321, 349–357 (2018)

    MathSciNet  MATH  Google Scholar 

  26. Wu, X.-P., Peng, X.-F., Li, W.: A preconditioned general modulus-based matrix splitting iteration method for linear complementarity problems of H-matrices. Numer. Algorithms 79, 1131–1146 (2018)

    MathSciNet  MATH  Google Scholar 

  27. Xu, W.-W.: Modified modulus-based matrix splitting iteration methods for linear complementarity problems. Numerical Linear Algebra with Applications 5, 748–760 (2015)

    MathSciNet  MATH  Google Scholar 

  28. Zhang, L.-L.: Two-step modulus-based synchronous multisplitting iteration methods for linear complementarity problems. J. Comput. Math. 33, 100–112 (2015)

    MathSciNet  MATH  Google Scholar 

  29. Zhang, L.-L., Ren, Z.-R.: Improved convergence theorems of modulus-based matrix splitting iteration methods for linear complementarity problems. Numerical Linear Algebra with Applications 26, 638–642 (2013)

    MathSciNet  MATH  Google Scholar 

  30. Zheng, N., Yin, J.-F.: Accelerated modulus-based matrix splitting methods for linear complementarity problem. Numer. Algorithms 64, 245–262 (2013)

    MathSciNet  MATH  Google Scholar 

  31. Zheng, H., Li, W., Vong, S.-W.: A relaxation modulus-based matrix splitting iteration method for solving linear complementarity problems. Numer. Algorithms 74, 137–152 (2017)

    MathSciNet  MATH  Google Scholar 

  32. Zheng, H., Vong, S.-W.: Improved convergence theorems of the two-step modulus-based matrix splitting and synchronous multisplitting iteration methods for solving linear complementarity problems. Linear and Multilinear Algebra 67, 1773–1784 (2018)

    MathSciNet  MATH  Google Scholar 

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Acknowledgments

The authors are very grateful to the referees for their constructive suggestions and helpful comments. Sincere thanks to Prof. Wen Li from South China Normal University for his many helpful suggestions in mathematics.

Funding

The work was supported by the Jiangsu Provincial Natural Science Foundation of Jiangsu Province of China under Grant No. BK20181405 and the National Natural Science Foundation of China under Grant Nos. 11971243, U1533202, U1811464, 11571124, 11671158, 11401305, 11971354, 61573181 and Civil Aviation Science and Technology Project under Grant No. 20150218.

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Correspondence to Xiaofei Peng.

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Xu, W., Zhu, L., Peng, X. et al. A class of modified modulus-based synchronous multisplitting iteration methods for linear complementarity problems. Numer Algor 85, 1–21 (2020). https://doi.org/10.1007/s11075-019-00799-3

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