Markov Set-Chains

1998
ISBN: 978-3-540-64775-1
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 1695, 132 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 224 g

Reihe: Lecture Notes in Mathematics

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.

Zielgruppe

Research

Autoren/Hrsg.

Hartfiel, Darald J.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Elementare Stochastik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Geometrie
• Mathematik | Informatik Mathematik Topologie Mengentheoretische Topologie
• Mathematik | Informatik Mathematik Algebra Homologische Algebra
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik

Inhaltsverzeichnis

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