AbstractIn this paper, we propose the parallel multisplitting TOR method, for solving a large nonsingular systems of linear equations Ax = b. These new methods are a generalization and an improvement of the relaxed parallel multisplitting method (Formmer and Mager, 1989) and parallel multisplitting AOR Algorithm (Wang Deren, 1991). The convergence theorem of this new algorithm is established under the condition that the coefficient matrix A of linear systems is an H-matrix. Some results also yield new convergence theorem for TOR method
AbstractWe establish some comparison theorems for parallel multisplitting AOR type iteration matrice...
AbstractA unified framework for the construction of various synchronous and asynchronous parallel ma...
AbstractFor the linear complementarity problem, we set up a class of parallel matrix multisplitting ...
AbstractIn this paper, the parallel multisplitting TOR (MTOR) method is proposed by Chang [1], for s...
AbstractIn this paper, we propose the parallel multisplitting TOR method, for solving a large nonsin...
AbstractWe present a class of relaxed parallel multisplitting algorithms, called the parallel multis...
AbstractRelaxed nonstationary multisplitting methods are studied for the parallel solution of nonsin...
AbstractIn this paper, we study the convergence of both the multisplitting method and the relaxed mu...
AbstractRelaxed technique is one of techniques for improving convergence rate of splitting iterative...
AbstractDespite the major recent activity in parallel processing, few effective new algorithms desig...
AbstractWe set up a class of parallel nonlinear AOR method in the sense of matrix multi-splitting fo...
In this paper, we discuss convergence of the extrapolated iterative methods for linear systems with ...
AbstractIn this paper, we first study convergence of nonstationary multisplitting methods associated...
AbstractIn this paper, two multisplitting methods with K+1 relaxed parameters are established for so...
AbstractMultisplitting methods are parallel methods for the solution of a linear system Ax = b. It h...
AbstractWe establish some comparison theorems for parallel multisplitting AOR type iteration matrice...
AbstractA unified framework for the construction of various synchronous and asynchronous parallel ma...
AbstractFor the linear complementarity problem, we set up a class of parallel matrix multisplitting ...
AbstractIn this paper, the parallel multisplitting TOR (MTOR) method is proposed by Chang [1], for s...
AbstractIn this paper, we propose the parallel multisplitting TOR method, for solving a large nonsin...
AbstractWe present a class of relaxed parallel multisplitting algorithms, called the parallel multis...
AbstractRelaxed nonstationary multisplitting methods are studied for the parallel solution of nonsin...
AbstractIn this paper, we study the convergence of both the multisplitting method and the relaxed mu...
AbstractRelaxed technique is one of techniques for improving convergence rate of splitting iterative...
AbstractDespite the major recent activity in parallel processing, few effective new algorithms desig...
AbstractWe set up a class of parallel nonlinear AOR method in the sense of matrix multi-splitting fo...
In this paper, we discuss convergence of the extrapolated iterative methods for linear systems with ...
AbstractIn this paper, we first study convergence of nonstationary multisplitting methods associated...
AbstractIn this paper, two multisplitting methods with K+1 relaxed parameters are established for so...
AbstractMultisplitting methods are parallel methods for the solution of a linear system Ax = b. It h...
AbstractWe establish some comparison theorems for parallel multisplitting AOR type iteration matrice...
AbstractA unified framework for the construction of various synchronous and asynchronous parallel ma...
AbstractFor the linear complementarity problem, we set up a class of parallel matrix multisplitting ...