Models of asynchronous parallel matrix multisplitting relaxed iterations
Parallel Computing
A multisplitting method for symmetric linear complementarity problems
Journal of Computational and Applied Mathematics
Chaotic iterative methods for the linear complementarity problems
Journal of Computational and Applied Mathematics
On the Convergence of the Multisplitting Methods for the Linear Complementarity Problem
SIAM Journal on Matrix Analysis and Applications
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
On convergence of two-stage splitting methods for linear complementarity problems
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
In this paper, we propose an interval version of the generalized accelerated overrelaxation methods, which we refer to as IGAOR, for solving the linear complementarity problems, LCP (M, q), and develop a class of multisplitting IGAOR methods which can be easily implemented in parallel. In addition, in regards to the H-matrix with positive diagonal elements, we prove the convergence of these algorithms and illustrate their efficiency through our numerical results.