Stochastic Models, Information Theory, and Lie Groups, Volume 2

Gregory S. Chirikjian

ISBN 10: 0817649433 / ISBN 13: 9780817649432

Verlag: Birkhäuser Boston Nov 2011, 2011

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby building bridges between fields that are rarely studied by the same people. Unlike the many excellent formal treatments available for each of these subjects individually, the emphasis in both of these volumes is on the use of stochastic, geometric, and group-theoretic concepts in the modeling of physical phenomena.Stochastic Models, Information Theory, and Lie Groups will be of interest to advanced undergraduate and graduate students, researchers, and practitioners working in applied mathematics, the physical sciences, and engineering. Extensive exercises, motivating examples, and real-world applications make the work suitable as a textbook for use in courses that emphasize applied stochastic processes or differential geometry. 464 pp. Englisch. Bestandsnummer des Verkäufers 9780817649432

Bibliografische Details

Titel: Stochastic Models, Information Theory, and ...

Verlag: Birkhäuser Boston Nov 2011

Erscheinungsdatum: 2011

Einband: Buch

Zustand: Neu

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Inhaltsangabe:

This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby building bridges between fields that are rarely studied by the same people. Unlike the many excellent formal treatments available for each of these subjects individually, the emphasis in both of these volumes is on the use of stochastic, geometric, and group-theoretic concepts in the modeling of physical phenomena.

Stochastic Models, Information Theory, and Lie Groups will be of interest to advanced undergraduate and graduate students, researchers, and practitioners working in applied mathematics, the physical sciences, and engineering. Extensive exercises, motivating examples, and real-world applications make the work suitable as a textbook for use in courses that emphasize applied stochastic processes or differential geometry.