In this paper, we discuss convergence of the extrapolated iterative methods for linear systems with the coefficient matrices are singular H-matrices. And we present the sufficient and necessary conditions for convergence of the extrapolated iterative methods. Moreover, we apply the results to the GMAOR methods. Finally, we give one numerical example
AbstractIn this paper, we first study convergence of nonstationary multisplitting methods associated...
In this paper, we investigate two parallel alternating methods for solving the system of linear equa...
AbstractFor the system of mildly nonlinear equations Ax=F(x), where A∈Rn×n is an n-by-n sparse real ...
AbstractIn this paper, we study the convergence of both the multisplitting method and the relaxed mu...
AbstractIn this paper, we discuss convergence of the extrapolated iterative methods for solving sing...
AbstractIn this paper, we first show that for the stationary iterative methods for solving consisten...
Abstract. Non-stationary multisplitting algorithms for the solution of linear systems are studied. C...
AbstractTo solve the linear system Ax = b, this paper presents a generalized extrapolated method by ...
AbstractMultisplitting methods are parallel methods for the solution of a linear system Ax = b. It h...
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...
AbstractA unified framework for the construction of various synchronous and asynchronous parallel ma...
AbstractIn this paper, two multisplitting methods with K+1 relaxed parameters are established for so...
Based on the methods presented by Song and Yuan (1994), we construct relaxed matrix parallel multis...
AbstractIn this paper, the parallel multisplitting TOR (MTOR) method is proposed by Chang [1], for s...
AbstractIn this paper, we first study convergence of nonstationary multisplitting methods associated...
In this paper, we investigate two parallel alternating methods for solving the system of linear equa...
AbstractFor the system of mildly nonlinear equations Ax=F(x), where A∈Rn×n is an n-by-n sparse real ...
AbstractIn this paper, we study the convergence of both the multisplitting method and the relaxed mu...
AbstractIn this paper, we discuss convergence of the extrapolated iterative methods for solving sing...
AbstractIn this paper, we first show that for the stationary iterative methods for solving consisten...
Abstract. Non-stationary multisplitting algorithms for the solution of linear systems are studied. C...
AbstractTo solve the linear system Ax = b, this paper presents a generalized extrapolated method by ...
AbstractMultisplitting methods are parallel methods for the solution of a linear system Ax = b. It h...
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...
AbstractA unified framework for the construction of various synchronous and asynchronous parallel ma...
AbstractIn this paper, two multisplitting methods with K+1 relaxed parameters are established for so...
Based on the methods presented by Song and Yuan (1994), we construct relaxed matrix parallel multis...
AbstractIn this paper, the parallel multisplitting TOR (MTOR) method is proposed by Chang [1], for s...
AbstractIn this paper, we first study convergence of nonstationary multisplitting methods associated...
In this paper, we investigate two parallel alternating methods for solving the system of linear equa...
AbstractFor the system of mildly nonlinear equations Ax=F(x), where A∈Rn×n is an n-by-n sparse real ...
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