In this paper, we present a novel algorithmic approach, the hybrid matrix geometric/invariant subspace method, for finding the stationary probability distribution of the finite QBD process which arises in performance analysis of computer and communication systems. Assuming that the QBD state space is defined in two dimensions with m phases and K + 1 levels, the solution vector for level k, ß k ; 0 k K is shown to be in a modified matrix geometric form ß k = v 1 R k 1 + v 2 R K \Gammak 2 where R 1 and R 2 are certain solutions to two nonlinear matrix equations and v 1 and v 2 are vectors to be determined using the boundary conditions. We show that the matrix geometric factors R 1 and R 2 can simultaneously be obtained independently...
This paper presents a class of Quasi-Birth-and-Death processes with finite state space for which the...
The application of matrix-analytic methods to the resolution of fluid queues has shown a close conne...
In the case of birth-and-death processes there are a few exactly solvable si...
Abstract: In this article, we present a solution to a class of Quasi-Birth-and-Death processes with ...
In this paper, we present sufficient conditions, under which the stationary probability vector of a ...
In this paper, we give a survey on computational methods developed for steady state solution of QBD ...
In this paper, we present an algorithmic approach to find the stationary probability distribution of...
Matrix equations of the kind A(1)X(2)+A(0)X+A(-1)=X, where both the matrix coefficients and the unkn...
In applying matrix-analytic methods to M/G/1-type and tree-like QBD Markov chains, it is crucial to ...
The paper shows that the theory of generalised invariant subspace and matrix sign function can be ap...
In applying matrix-analytic methods to M/G/1-type and tree-like QBD Markov chains, it is crucial to ...
In this paper, based on matrix structure analysis, we derive and analyze efficient algorithms to sol...
AbstractIn this paper, based on matrix structure analysis, we derive and analyze efficient algorithm...
In this paper, we present an algorithmic approach to find the stationary probability distribution of...
We consider a Markov Chain in which the state space is partitioned into sets where both transitions ...
This paper presents a class of Quasi-Birth-and-Death processes with finite state space for which the...
The application of matrix-analytic methods to the resolution of fluid queues has shown a close conne...
In the case of birth-and-death processes there are a few exactly solvable si...
Abstract: In this article, we present a solution to a class of Quasi-Birth-and-Death processes with ...
In this paper, we present sufficient conditions, under which the stationary probability vector of a ...
In this paper, we give a survey on computational methods developed for steady state solution of QBD ...
In this paper, we present an algorithmic approach to find the stationary probability distribution of...
Matrix equations of the kind A(1)X(2)+A(0)X+A(-1)=X, where both the matrix coefficients and the unkn...
In applying matrix-analytic methods to M/G/1-type and tree-like QBD Markov chains, it is crucial to ...
The paper shows that the theory of generalised invariant subspace and matrix sign function can be ap...
In applying matrix-analytic methods to M/G/1-type and tree-like QBD Markov chains, it is crucial to ...
In this paper, based on matrix structure analysis, we derive and analyze efficient algorithms to sol...
AbstractIn this paper, based on matrix structure analysis, we derive and analyze efficient algorithm...
In this paper, we present an algorithmic approach to find the stationary probability distribution of...
We consider a Markov Chain in which the state space is partitioned into sets where both transitions ...
This paper presents a class of Quasi-Birth-and-Death processes with finite state space for which the...
The application of matrix-analytic methods to the resolution of fluid queues has shown a close conne...
In the case of birth-and-death processes there are a few exactly solvable si...