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Beschreibung
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.
Details
| Verlag | Springer Berlin |
| Ersterscheinung | 20. August 1998 |
| Maße | 27.9 cm x 21.6 cm |
| Gewicht | 224 Gramm |
| Format | Softcover |
| ISBN-13 | 9783540647751 |
| Seiten | 132 |
Schlagwörter
Algebra, Convex and Discrete Geometry, Diskrete Mathematik, DV-gestützte Biologie/Bioinformatik, Geometrie, Linear Algebra, Mathematical and Computational Biology, Mathematical Applications in Computer Science, Probability Theory, Stochastik, Theoretische Informatik, Wahrscheinlichkeitsrechnung und Statistik
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