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20132017
most citedPoisson's equation for discrete-time quasi-birth-and-death processes

11 citations · 19 across the 6 of their papers we have counts for

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6 papers

math.PR2017

The time-dependent expected reward and deviation matrix of a finite QBD process

Sarah Dendievel, Sophie Hautphenne, Guy Latouche +1

Deriving the time-dependent expected reward function associated with a continuous-time Markov chain involves the computation of its transient deviation matrix. In this paper we foc…

math.PR2017

Perturbation analysis of Markov modulated fluid models

Sarah Dendievel, Guy Latouche

We consider perturbations of positive recurrent Markov modulated fluid models. In addition to the infinitesimal generator of the phases, we also perturb the rate matrix, and analyz…

math.NA2016★ 8 cited

General solution of the Poisson equation for Quasi-Birth-and-Death processes

Dario A. Bini, Sarah Dendievel, Guy Latouche +1

We consider the Poisson equation , where is the transition matrix of a Quasi-Birth-and-Death (QBD) process with infinitely many levels, $\bm…

math.NA2015

Computing the Exponential of Large Block-Triangular Block-Toeplitz Matrices Encountered in Fluid Queues

D. A. Bini, S. Dendievel, G. Latouche +1

The Erlangian approximation of Markovian fluid queues leads to the problem of computing the matrix exponential of a subgenerator having a block-triangular, block-Toeplitz structure…

math.PR2014

Approximations for time-dependent distributions in Markovian fluid models

Sarah Dendievel, Guy Latouche

In this paper we study the distribution of the level at time of Markovian fluid queues and Markovian continuous time random walks, the maximum (and minimum) level over ,…

math.PR2013★ 11 cited

Poisson's equation for discrete-time quasi-birth-and-death processes

Sarah Dendievel, Guy Latouche, Yuanyuan Liu

We consider Poisson's equation for quasi-birth-and-death processes (QBDs) and we exploit the special transition structure of QBDs to obtain its solutions in two different forms. On…