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Des and res processes and their explicit solutions

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In this article, the down-entrance state (DES) and restart entrance state (RES) classes of quasi-skip free (QSF) processes specified in terms of the nonzero structure of the elements of their transition rate matrix were studied.
Abstract
This paper defines and studies the down entrance state (DES) and the restart entrance state (RES) classes of quasi-skip free (QSF) processes specified in terms of the nonzero structure of the elements of their transition rate matrix Q. A QSF process is a Markov chain with states that can be specified by tuples of the form (m, i), where the current phase of the state, and its transition probability matrix Q does not permit one-step transitions to states that are two or more levels away from the current state in one direction of the level variable m. A QSF process is a DES process if and only if one step “down” transitions from a level m can only reach a single state in level m − 1, for all m. A QSF process is a RES process if and only if one step “up” transitions from a level m can only reach a single set of states in the highest level M2, largest of all m.We derive explicit solutions and simple truncation bounds for the steady-state probabilities of both DES and RES processes, when in addition Q insures ergodicity. DES and RES processes have applications in many areas of applied probability comprising computer science, queueing theory, inventory theory, reliability, and the theory of branching processes. To motivate their applicability we present explicit solutions for the well-known open problem of the M/Er/n queue with batch arrivals, an inventory model, and a reliability model.

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Journal ArticleDOI

Linear birth/immigration-death process with binomial catastrophes

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Retrial queueing system with balking, optional service and vacation

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A comparative analysis of the successive lumping and the lattice path counting algorithms

TL;DR: This paper provides a comparison of the successive lumping (SL) methodology developed in Katehakis et al. (2015) with the popular lattice path counting (Mohanty (1979)) in obtaining rate matrices for queueing models, satisfying the specific quasi birth and death structure as in Van Leeuwaarden et al (2009).
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Waiting-time analysis of D-$${ BMAP}{/}G{/}1$$ queueing system

TL;DR: This paper presents a simple procedure to evaluate the actual waiting-time distributions for the first- and an arbitrary-customer of an arrival batch in the D-BMAP/G / 1 queueing system.
Posted Content

A Comparative Analysis of the Successive Lumping and the Lattice Path Counting Algorithms

TL;DR: In this paper, a comparison of the successive lumping (SL) methodology with the popular lattice path counting algorithm in obtaining rate matrices for queueing models, satisfying the quasi birth and death structure, is provided.
References
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Journal ArticleDOI

Matrix Iterative Analysis

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Matrix iterative analysis

TL;DR: In this article, the authors propose Matrix Methods for Parabolic Partial Differential Equations (PPDE) and estimate of Acceleration Parameters, and derive the solution of Elliptic Difference Equations.
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Non-negative Matrices and Markov Chains

Eugene Seneta
TL;DR: Finite Non-Negative Matrices as mentioned in this paper are a generalization of finite stochastic matrices, and finite non-negative matrices have been studied extensively in the literature.
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Matrix-geometric solutions in stochastic models : an algorithmic approach

TL;DR: In this paper, a mathematical text suitable for students of engineering and science who are at the third year undergraduate level or beyond is presented, which is a book of applicable mathematics, which avoids the approach of listing only the techniques, followed by a few examples.
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Introduction to matrix analytic methods in stochastic modeling

TL;DR: This chapter discusses quasi-Birth-and-Death Processes, a large number of which are based on the Markovian Point Processes and the Matrix-Geometric Distribution, as well as algorithms for the Rate Matrix.
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