AbstractIterative methods for the solution of consistent singular systems of linear equations are governed by the convergence factor of the iteration matrix T, i.e., by the quantity γ(T)=max{|λ|,λ∈σ(T),λ≠1}, where σ(T) is the spectrum of T. Theorems are presented comparing the convergence factor of two iterative methods. The comparison is based on the relationship between the matrices of the splittings. A cone other than the usual nonnegative hyperoctant is used to define the order used in this comparison. Although this cone is based on the (unknown) projection onto the null-space of a matrix, the characterization provided in the paper allows, in specific instances, the cone to be readily computable
AbstractWe study convergence conditions for the additive and the multiplicative splitting iteration ...
In this article the problem of solving a system of singular nonlinear equations will be discussed. N...
AbstractSingular systems with index one arise in many applications, such as Markov chain modelling. ...
AbstractIterative methods for the solution of consistent singular systems of linear equations are go...
AbstractIn this paper, we first show that for the stationary iterative methods for solving consisten...
AbstractThe study of convergence conditions to solve large and sparse linear systems Ax=b by iterati...
AbstractWe study the semiconvergence of two-stage iterative methods for solving nonsymmetric singula...
AbstractA new iterative method for the solution of linear systems, based upon a new splitting of the...
Research Report 95-121, Department of Mathematics, Temple University, December 1995. This paper appe...
AbstractIn this paper, we discuss convergence of the extrapolated iterative methods for solving sing...
AbstractIn this article, a convergence theorem and several comparison theorems are presented for a s...
AbstractIn this paper, the mixed-type splitting iterative method is established for solving the line...
AbstractThe comparison of the asymptotic rates of convergence of two iteration matrices induced by t...
AbstractWe discuss iterative methods for the solution of the linear system Ax = b, which are based o...
AbstractThe Ostrowski–Reich theorem gives the necessary and sufficient condition of convergence of t...
AbstractWe study convergence conditions for the additive and the multiplicative splitting iteration ...
In this article the problem of solving a system of singular nonlinear equations will be discussed. N...
AbstractSingular systems with index one arise in many applications, such as Markov chain modelling. ...
AbstractIterative methods for the solution of consistent singular systems of linear equations are go...
AbstractIn this paper, we first show that for the stationary iterative methods for solving consisten...
AbstractThe study of convergence conditions to solve large and sparse linear systems Ax=b by iterati...
AbstractWe study the semiconvergence of two-stage iterative methods for solving nonsymmetric singula...
AbstractA new iterative method for the solution of linear systems, based upon a new splitting of the...
Research Report 95-121, Department of Mathematics, Temple University, December 1995. This paper appe...
AbstractIn this paper, we discuss convergence of the extrapolated iterative methods for solving sing...
AbstractIn this article, a convergence theorem and several comparison theorems are presented for a s...
AbstractIn this paper, the mixed-type splitting iterative method is established for solving the line...
AbstractThe comparison of the asymptotic rates of convergence of two iteration matrices induced by t...
AbstractWe discuss iterative methods for the solution of the linear system Ax = b, which are based o...
AbstractThe Ostrowski–Reich theorem gives the necessary and sufficient condition of convergence of t...
AbstractWe study convergence conditions for the additive and the multiplicative splitting iteration ...
In this article the problem of solving a system of singular nonlinear equations will be discussed. N...
AbstractSingular systems with index one arise in many applications, such as Markov chain modelling. ...