Linear Algebra, Markov Chains, and Queueing Models

Name: Linear Algebra, Markov Chains, and Queueing Models
Brand: Springer-Verlag New York Inc.
SKU: 9781461383536
Price: 41531 HUF
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Szerző: Carl D. Meyer, Robert J. Plemmons

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten alacsony példányszámban

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This IMA Volume in Mathematics and its Applications LINEAR ALGEBRA, MARKOV CHAINS, AND QUEUEING MODE...

Információk a könyvről

Szerző

Carl D. Meyer, Robert J. Plemmons

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2011

oldal

294

EAN

9781461383536

ISBN

1461383536

Enbook ID

06797180

Kiadó

Springer-Verlag New York Inc.

Súly

482

Méretek

155 x 235 x 18

Teljes leírás

This IMA Volume in Mathematics and its Applications LINEAR ALGEBRA, MARKOV CHAINS, AND QUEUEING MODELS is based on the proceedings of a workshop which was an integral part of the 1991-92 IMA program on "Applied Linear Algebra". We thank Carl Meyer and R.J. Plemmons for editing the proceedings. We also take this opportunity to thank the National Science Founda tion, whose financial support made the workshop possible. A vner Friedman Willard Miller, Jr. xi PREFACE This volume contains some of the lectures given at the workshop Lin ear Algebra, Markov Chains, and Queueing Models held January 13-17, 1992, as part of the Year of Applied Linear Algebra at the Institute for Mathematics and its Applications. Markov chains and queueing models play an increasingly important role in the understanding of complex systems such as computer, communi cation, and transportation systems. Linear algebra is an indispensable tool in such research, and this volume collects a selection of important papers in this area. The articles contained herein are representative of the underlying purpose of the workshop, which was to bring together practitioners and re searchers from the areas of linear algebra, numerical analysis, and queueing theory who share a common interest of analyzing and solving finite state Markov chains. The papers in this volume are grouped into three major categories-perturbation theory and error analysis, iterative methods, and applications regarding queueing models.

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Linear Algebra, Markov Chains, and Queueing Models

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