Abstract
In this paper, based on the implicit fixed-point equation of the linear complementarity problem (LCP), a generalized Newton method is presented to solve the non-Hermitian positive definite linear complementarity problem. Some convergence properties of the proposed generalized Newton method are discussed. Numerical experiments are presented to illustrate the efficiency of the proposed method.
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Cottle, R.W., Dantzig, G.B.: Complementary pivot theory of mathematical programming. Linear Algebra Appl. 1, 103–125 (1968)
Cottle, R.W., Pang, J.-S., Stone, R.E.: The Linear Complementarity Problem. Academic, San Diego (1992)
Murty, K.G.: Linear Complementarity, Linear and Nonlinear Programming. Heldermann, Berlin (1988)
Schäfer, U.: A linear complementarity problem with a P-matrix. SIAM Rev. 46, 189–201 (2004)
Cryer, C.W.: The solution of a quadratic programming using systematic overrelaxation. SIAM J. Control. 9, 385–392 (1971)
Ahn, B.H.: Solutions of nonsymmetric linear complementarity problems by iterative methods. J. Optim. Theory Appl. 33, 175–185 (1981)
Mangasarian, O.L.: Solutions of symmetric linear complementarity problems by iterative methods. J. Optim. Theory Appl. 22, 465–485 (1977)
Pang, J.-S.: Necessary and sufficient conditions for the convergence of iterative methods for the linear complementarity problem. J. Optim. Theory Appl. 42, 1–17 (1984)
Tseng, P.: On linear convergence of iterative methods for the variational inequality problem. J. Comput. Appl. Math. 60, 237–252 (1995)
Van Bokhoven, W.: Piecewise-linear Modelling and Analysis. Proefschrift, Eindhoven (1981)
Dong, J.-L., Jiang, M.-Q.: A modified modulus method for symmetric positive-definite linear complementarity problems. Numer. Linear Algebra Appl. 16, 129–143 (2009)
Bai, Z.-Z.: Modulus-based matrix splitting iteration methods for linear complementarity problems. Numer. Linear Algebra Appl. 17, 917–933 (2010)
Hadjidimos, A., Tzoumas, M.: Nonstationary extrapolated modulus algorithms for the solution of the linear complementarity problem. Linear Algebra Appl. 431, 197–210 (2009)
Ortega, J.M., Rheinboldt, W.C.: Iterative solution of nonlinear equations in several variables. Academic Press, USA (1970)
Benzi, M.: A generalization of the Hermitian and skew-Hermitian splitting iteration. SIAM J. Matrix Anal. Appl. 31, 360–374 (2009)
Li, W.: A general modulus-based matrix splitting method for linear complementarity problems of \(H\)-matrices. Appl. Math. Lett. 26, 1159–1164 (2013)
Xu, W.-W., Liu, H.: A modified general modulus-based matrix splitting method for linear complementarity problems of \(H\)-matrices. Linear Algebra Appl. 458, 626–637 (2014)
Hadjidimos, A., Lapidakis, M., Tzoumas, M.: On iterative solution for linear complementarity problem with an \(H\)-matrix. SIAM J. Matrix Anal. Appl. 33, 97–110 (2012)
Zhang, L.-L.: Two-step modulus-based matrix splitting iteration method for linear complementarity problems. Numer. Algor. 57, 83–99 (2011)
Zhang, L.-L., Ren, Z.-R.: Improved convergence theorems of modulus-based matrix splitting iteration methods for linear complementarity problems. Appl. Math. Lett. 26, 638–642 (2013)
Zheng, N., Yin, J.-F.: Accelerated modulus-based matrix splitting iteration methods for linear complementarity problems. Numer. Algor. 64, 245–262 (2013)
Zheng, N., Yin, J.-F.: Convergence of accelerated modulus-based matrix splitting iteration methods for linear complementarity problem with an \(H_{+}\)-matrix. J. Comp. Appl. Math. 260, 281–293 (2014)
Ahn, B.H.: Iterative methods for linear complementarity problems with upper-bounds on primary variables. Math. Program. 26, 295–315 (1983)
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This research was supported by NSFC (No.11301009) and by Natural Science Foundations of Henan Province (No.15A110007).
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Wu, SL., Li, CX. A generalized Newton method for non-Hermitian positive definite linear complementarity problem. Calcolo 54, 43–56 (2017). https://doi.org/10.1007/s10092-016-0175-2
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DOI: https://doi.org/10.1007/s10092-016-0175-2