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Linear Algebra, Markov Chains, and Queueing Models

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Cover of 'Linear Algebra, Markov Chains, and Queueing Models'

Table of Contents

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    Book Overview
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    Chapter 1 Error Bounds for the Computation of Null Vectors with Applications to Markov Chains
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    Chapter 2 The Influence of Nonnormality on Matrix Computations
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    Chapter 3 Componentwise Error Analysis for Stationary Iterative Methods
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    Chapter 4 The Character of a Finite Markov Chain
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    Chapter 5 Gaussian Elimination, Perturbation Theory, and Markov Chains
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    Chapter 6 Algorithms for Periodic Markov Chains
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    Chapter 7 Iterative Methods for Queueing Networks with Irregular State-Spaces
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    Chapter 8 Analysis of P -Cyclic Iterations for Markov Chains
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    Chapter 9 Iterative Methods for Finding the Stationary Vector for Markov Chains
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    Chapter 10 Local Convergence of (Exact and Inexact) Iterative Aggregation
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    Chapter 11 Automated Generation and Analysis of Markov Reward Models Using Stochastic Reward Nets
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    Chapter 12 Means and Variances in Markov Reward Systems
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    Chapter 13 A Direct Algorithm for Computing the Stationary Distribution of a P -Cyclic Markov Chain
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    Chapter 14 Approximate Analysis of a Discrete-Time Queueing Model of the Shared Buffer ATM Switch
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    Chapter 15 Algorithms for Infinite Markov Chains with Repeating Columns
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    Chapter 16 CRAY-2 Memory Organization and Interprocessor Memory Contention
Attention for Chapter 10: Local Convergence of (Exact and Inexact) Iterative Aggregation
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Summary
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Chapter title
Local Convergence of (Exact and Inexact) Iterative Aggregation
Chapter number 10
Book title
Linear Algebra, Markov Chains, and Queueing Models
Published by
Springer, New York, NY, January 1993
DOI 10.1007/978-1-4613-8351-2_10
Book ISBNs
978-1-4613-8353-6, 978-1-4613-8351-2
Authors

Daniel B. Szyld

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