Modified AOR methods for linear complementarity problem
Applied Mathematics and Computation
On convergence of two-stage splitting methods for linear complementarity problems
Journal of Computational and Applied Mathematics
Inexact multisplitting methods for linear complementarity problems
Journal of Computational and Applied Mathematics
Mathematics and Computers in Simulation
A multiplicative multisplitting method for solving the linear complementarity problem
Computers & Mathematics with Applications
On convergence of two-stage splitting methods for linear complementarity problems
Journal of Computational and Applied Mathematics
IGAOR and multisplitting IGAOR methods for linear complementarity problems
Journal of Computational and Applied Mathematics
Two class of synchronous matrix multisplitting schemes for solving linear complementarity problems
Journal of Computational and Applied Mathematics
Computational Optimization and Applications
Convergence of SSOR methods for linear complementarity problems
Operations Research Letters
On the equivalence of linear complementarity problems
Operations Research Letters
On Iterative Solution for Linear Complementarity Problem with an $H_{+}$-Matrix
SIAM Journal on Matrix Analysis and Applications
Journal of Computational and Applied Mathematics
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The convergence properties of a variant of the multisplitting methods for solving the large sparse linear complementarity problems presented by Machida, Fukushima, and Ibaraki [J. Comput. Appl. Math., 62 (1995), pp. 217--227] are further discussed when the system matrices are nonsymmetric and the weighting matrices are nonnegative and diagonal. This directly results in several novel sufficient conditions for guaranteeing the convergence of these multisplitting methods. Moreover, some applicable parallel multisplitting relaxation methods and their corresponding convergence properties are discussed in detail.