Abstract
In this paper, a full-Newton step Interior-Point Method for solving monotone Weighted Linear Complementarity Problem is designed and analyzed. This problem has been introduced recently as a generalization of the Linear Complementarity Problem with modified complementarity equation, where zero on the right-hand side is replaced with the nonnegative weight vector. With a zero weight vector, the problem reduces to a linear complementarity problem. The importance of Weighted Linear Complementarity Problem lies in the fact that it can be used for modelling a large class of problems from science, engineering and economics. Because the algorithm takes only full-Newton steps, the calculation of the step size is avoided. Under a suitable condition, the algorithm has a quadratic rate of convergence to the target point on the central path. The iteration bound for the algorithm coincides with the best iteration bound obtained for these types of problems.

Similar content being viewed by others
References
Potra, F.A.: Weighted complementarity problems—a new paradigm for computing equilibria. SIAM J. Optim. 2, 1634–1654 (2012)
Anstreicher, K.M.: Interior-point algorithms for a generalization of linear programming and weighted centering. Optim. Methods Soft. 2, 605–612 (2012)
Ye, Y.: A path to the Arrow–Debreu competitive market equilibrium. Math. Program. 111, 315–348 (2008)
McShane, K.A.: Superlinearly convergent \(O(\sqrt{n} L)\)-iteration interior-point algorithms for linear programming and the monotone linear complementarity problem. SIAM J. Optim. 4, 247–261 (1994)
Mizuno, S., Todd, M.J., Ye, Y.: On adaptive-step primal-dual interior-point algorithms for linear programming. Math. Oper. Res. 18, 964–981 (1993)
Potra, F.A.: Sufficient weighted complementarity problems. Comput. Optim. Appl. 64, 467–488 (2016)
Cottle, R.W., Pang, J.-S., Venkateswaran, V.: Sufficient matrices and the linear complementarity problem. Linear Algebra Appl. 114(115), 231–249 (1989)
Zhang, J.: A smoothing Newton algorithm for weighted linear complementarity problem. Optim. Lett. 10, 499–509 (2016)
Mansouri, H., Zangiabadi, M., Pirhaji, M.: A full-Newton step \(O(n)\) infeasible interior-point algorithm for linear complementarity problems. Nonlinear Anal. Real World Appl. 12, 545–561 (2011)
Asadi, S., Mansouri, H.: Polynomial interior-point algorithm for \(P_*(\kappa )\) horizontal linear complementarity problems. Numer. Algorithms 63, 385–398 (2013)
Darvay, Z.: New interior-point algorithms in linear programming. Adv. Model. Optim. 5, 51–92 (2003)
Asadi, S., Mansouri, H., Darvay, Zs: An infeasible full-NT step IPM for \(P_*(\kappa )\) horizontal linear complementarity problem over Cartesian product of symmetric cones. Optimization 66, 225–250 (2017)
Achache, M., Tabchouche, N.: A full-Newton step feasible interior-point algorithm for monotone horizontal linear complementarity problems. Optim. Lett. 13, 1039–1057 (2019)
Lesaja, G., Potra, F.A.: Adaptive full Newton-step infeasible interior-point method for sufficient horizontal LCP. Optim. Methods Softw. 34, 1014–1034 (2018)
Darvay, Zs: A weighted-path-following method for linear optimization. Stud. Univ. Babeş–Bolyai Inf. 47, 3–12 (2002)
Achache, M.: A weighted-path-following method for the linear complementarity problem. Stud. Univ. Babeş–Bolyai Inf. 49, 61–73 (2004)
Kojima, M., Megiddo, N., Noma, T., Yoshise, A.: A Unified Approach to Interior Point Algorithms for Linear Complementarity Problems, Volume 538 of Lecture Notes in Computer Science. Springer, New York (1991)
Gurtuna, F., Petra, C., Potra, F.A., Shevchenko, O., Vancea, A.: Corrector-predictor methods for sufficient linear complementarity problems. Comput. Optim. Appl. 48, 453–485 (2011)
Acknowledgements
The work of the first author is supported by a Grant from Iran’s National Elites Foundation, Project No. 15/2080. The first and the fourth authors thank Sharif University of Technology for supporting this work. The first author would also like to thank the support from the University of Applied Sciences and Arts, Northwestern Switzerland. The second author would like to thank the support of Babeş-Bolyai University.
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by Nobuo Yamashita.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Asadi, S., Darvay, Z., Lesaja, G. et al. A Full-Newton Step Interior-Point Method for Monotone Weighted Linear Complementarity Problems. J Optim Theory Appl 186, 864–878 (2020). https://doi.org/10.1007/s10957-020-01728-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10957-020-01728-4