The aim of this work is to derive a convergent parallel multisplitting two-stage iterative algorithm for the non-symmetric positive definite systems of linear ...

In this work, we propose a new parallel multisplitting iterative method for non-symmetric positive definite linear systems. Based on optimization theory, ...

In this paper, we study the non-stationary parallel multisplitting two-stage iterative methods with self- adaptive weighting matrices for solving a linear ...

This paper considers two-stage iterative processes for solving the linear system $Af = b$. The outer iteration is defined by $Mf^{k + 1} = Nf^k + b$, where M is ...

In this paper, we study a class of weakly nonlinear complementarity problems arising from the discretization of free boundary problems.

In this paper,the new non-stationary parallel multisplitting two-stage iterative methods with self-adaptive weighting matrices are presented for the linear ...

In this paper, we generalize the nonstationary parallel multisplitting iterative method for solving the symmetric positive definite linear systems.

Parallel iterative methods are studied, and the focus is on linear algebraic systems whose matrix is symmetric and positive definite. The set of unknowns may be ...

The aim of this paper is to investigate the convergent parallel multisplitting iterative algorithms for the non-Hermitian positive definite systems of linear.

Abstract. In the convergence theory of multisplittings for symmetric positive definite (s.p.d.) matrices it is usually assumed that the weighting matrices ...