Markov Set-Chains
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the author develops a theory of Markov set-chains and provides numerous examples showing how that theory can be applied. Chapters are concluded with a discussion of related research. Readers who can benefit from this monograph are those interested in, or involved with, systems whose data is imprecise or that fluctuate with time. A background equivalent to a course in linear algebra and one in probability theory should be sufficient.
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Markov Set-Chains
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the author develops a theory of Markov set-chains and provides numerous examples showing how that theory can be applied. Chapters are concluded with a discussion of related research. Readers who can benefit from this monograph are those interested in, or involved with, systems whose data is imprecise or that fluctuate with time. A background equivalent to a course in linear algebra and one in probability theory should be sufficient.
39.95 Out Of Stock
Markov Set-Chains

Markov Set-Chains

by Darald J. Hartfiel
Markov Set-Chains

Markov Set-Chains

by Darald J. Hartfiel

Paperback(1998)

$39.95 
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Overview

In this study extending classical Markov chain theory to handle fluctuating transition matrices, the author develops a theory of Markov set-chains and provides numerous examples showing how that theory can be applied. Chapters are concluded with a discussion of related research. Readers who can benefit from this monograph are those interested in, or involved with, systems whose data is imprecise or that fluctuate with time. A background equivalent to a course in linear algebra and one in probability theory should be sufficient.

Product Details

ISBN-13: 9783540647751
Publisher: Springer Berlin Heidelberg
Publication date: 09/18/1998
Series: Lecture Notes in Mathematics , #1695
Edition description: 1998
Pages: 132
Product dimensions: 8.50(w) x 10.98(h) x 0.01(d)

Table of Contents

Shastic matrices and their variants.- to Markov set-chains.- Convergence of Markov set-chains.- Behavior in Markov set-chains.
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