Abstract
Tensor complementarity problem (TCP) has attracted many attentions in recent years. In this paper, we equivalently reformulate tensor complementarity problem as a fixed point equation. Based on the fixed point equation, projected fixed point iterative methods are proposed and corresponding convergence proofs on the fixed point iterative methods for the tensor complementarity problem associated with a power Lipschitz tensor are investigated. Furthermore, the monotone convergence analysis of the fixed point iteration method for the tensor complementarity problem involving an \({\mathcal {L}}\) tensor is given. Numerical examples are tested to illustrate the given approach.
Similar content being viewed by others
References
Huang, Z., Qi, L.: Formulating an \(n\)-person noncoorperative game as a tensor complementarity problem. Comput. Optim. Appl. 66, 557–576 (2017)
Huang, Z., Qi, L.: Tensor complementarity problems-part III: applications. J. Optim. Theory Appl. 183, 771–791 (2019)
Song, Y., Qi, L.: Properties of tensor complementarity problem and some classes of structured tensors. Ann. Appl. Math. 33(3), 308–323 (2017)
Gowda, M., Luo, Z., Qi, L., Xiu, N.: \({\cal{Z}}\)-tensors and complementarity problems. arXiv: 1510.07933v1 (2015)
Che, M., Qi, L., Wei, Y.: Positive-definite tensors to nonlinear complementarity problems. J. Optim. Theory Appl. 168(2), 475–487 (2016)
Song, Y., Yu, G.: Properties of solution set of tensor complementarity problem. J. Optim. Theory Appl. 170, 85–96 (2016)
Bai, X., Huang, Z., Wang, Y.: Global uniqueness and solvability for tensor complementarity problems. J. Optim. Theory Appl. 170, 72–84 (2016)
Wang, X., Che, M., Wei, Y.: Global uniqueness and solvability of tensor complementarity problems for \({\cal{H}}^{+}\)-tensors. Numer. Algor. 84, 567–590 (2020)
Yu, W., Ling, C., He, H.: On the properties of tensor complementarity problems. Pac. J. Optim. 14(4), 675–691 (2018)
Ling, L., He, H., Ling, C.: On error bounds of polynomial complementarity problems with structured tensors. Optimization 67(2), 341–358 (2018)
Song, Y., Qi, L.: Error bound of \({\cal{P}}\)-tensor nonlinear complementarity problem (2015). arXiv:1508.02005v2
Huang, Z.H., Qi, L.: Tensor complementarity problems-part I: basic theory. J. Optim. Theory Appl. 183(1), 1–23 (2019)
Liu, D., Li, W., Vong, S.: Tensor complementarity problems: the GUS-property and an algorithm. Linear Multilinear Algebra 66, 1726–1749 (2018)
Wang, Y., Huang, Z., Bai, X.: Exceptionally regular tensors and tensor complementarity problems. Optim. Meth. Soft. 31, 815–828 (2016)
Zhang, L., Qi, L., Zhou, G.: \({\cal{M}}\)-tensors and some applications. SIAM J. Matrix Anal. Appl. 35(2), 437–452 (2014)
Rajesh Kannan, M., Shaked-Monderer, N., Berman, A.: Some properties of strong \({\cal{H}}\)-tensors and general \({\cal{H}}\)-tensors. Linear Algebra Appl. 476, 42–55 (2015)
Li, C., Li, Y.: Double \({\cal{B}}\)-tensors and quasi-double \({\cal{B}}\)-tensors. Linear Algebra Appl. 466, 343–356 (2015)
Guo, Q., Zheng, M., Huang, Z.: Properties of \({\cal{S}}\)-tensors. Linear Multilinear Algebra 67(4), 685–696 (2019)
Song, Y., Qi, L.: Tensor complementarity problem and semi-positive tensors. J. Optim. Theory Appl. 169(3), 1069–1078 (2015)
Luo, Z., Qi, L., Xiu, N.: The sparsest solutions to \({\cal{Z}}\)-tensor complementarity problems. Optim. Lett. 11(3), 471–482 (2017)
Xie, S., Li, D., Xu, H.: An iterative method for finding the least solution of the tensor complementarity problem. J. Optim. Theory Appl. 175, 119–136 (2017)
Han, L.: A continuation method for tensor complementarity problems. J. Optim. Theory Appl. 180, 949–963 (2019)
Zhang, K., Chen, H., Zhao, P.: A potential reduction method for tensor complementarity problems. J. Ind. Manag. Optim. 15(2), 429–443 (2019)
Du, S., Zhang, L.: A mixed integer programming approach to the tensor complementarity problem. J. Glob. Optim. 73, 789–800 (2019)
Zhao, X., Fan, F.: A semidefinite method for tensor complementarity problems. Optim. Method Softw. 34(4), 758–769 (2019)
Guan, H., Li, D.: Linearized Methods for Tensor Complementarity Problems. J. Optim. Theory Appl. 184, 972–987 (2020)
Qi, L., Huang, Z.: Tensor complementarity problems-part II: solution methods. J. Optim. Theory Appl. 183, 365–385 (2019)
Cottle, R., Pang, J., Stone, R.: The Linear Complementarity Problem. Academic Press, San Diego (1992)
Mangasarian, O.: Solution of symmetric linear complementarity problems by iterative methods. J. Optim. Theory Appl. 22, 465–485 (1977)
Ahn, B.: Solution of nonsymmetric linear complementarity problems by iterative methods. J. Optim. Theory Appl. 33, 175–185 (1981)
Cryer, W.: The solution of a quadratic programming problem using systematic overrelaxation. SIAM J. Control 9, 385–392 (1971)
Bu, C., Zhang, X., Zhou, J.: The inverse, rank and product of tensors. Linear Algebra Appl. 446, 269–280 (2014)
Liu, D., Li, W., Vong, S.: The tensor splitting with application to solve multi-linear systems. J. Comput. Appl. Math. 330, 75–94 (2018)
Qi, L.: Eigenvalues of a real supersymmetric tensor. J. Symbolic Comput. 40, 1302–1324 (2005)
Lim, L.-H.: Singular values and eigenvalues of tensors: a variational approach, in: Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 05, vol.1, IEEE Computer Society Press, Piscataway, NJ, pp. 129–132 (2005)
Young, D.: Iterative Solution of Large Linear Systems. Academic Press, New York (1971)
Dehghan, M., Hajarian, M.: Improving preconditioned SOR-type iterative methods for \(L\)-matrices. Int. J. Numer. Meth. Biomed. Engng. 27, 774–784 (2011)
Pearson, K.: Essentially positive tensors. Int. J. Algebra 4, 421–427 (2010)
Shao, J., You, L.: On some properties of three different types of triangular blocked tensors. Linear Algebra Appl. 511, 110–140 (2016)
Ortega, J.: Numerical Analysis. A Second Course. Academic Press, New York (1972)
Ding, W., Wei, Y.: Solving multi-linear systems with \({\cal{M}}\)-tensors. J. Sci. Comput. 68(2), 689–715 (2016)
Li, D., Xie, S., Xu, H.: Splitting methods for tensor equations. Numer. Linear Algebra Appl. 24(5), e2102 (2017)
Xie, Z., Jin, X., Wei, Y.: Tensor methods for solving symmetric \({\cal{M}}\)-tensor systems. J. Sci. Comput. 74(1), 412–425 (2017)
Acknowledgements
The author would like to thank the editor and two anonymous referees for their valuable comments and suggestions, which greatly improve the original manuscript. He also thanks Dr. Jianchao Bai for the discussion of numerical examples and Prof. Jicheng Li for the advice in Xi’an Jiaotong University.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This work was supported by the National Natural Science Foundation of China (11671318) and the Natural Science Foundations of Fujian Province of China (2016J01028, 2017N0029).
Rights and permissions
About this article
Cite this article
Dai, PF. A Fixed Point Iterative Method for Tensor Complementarity Problems. J Sci Comput 84, 49 (2020). https://doi.org/10.1007/s10915-020-01299-6
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10915-020-01299-6