An edition of Probabilistic Models for Dynamical Systems (2013)

Probabilistic Models for Dynamical Systems

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Cover of: Probabilistic Models for Dynamical Systems by Haym Benaroya, Seon Mi Han, Mark Nagurka
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Last edited by Kaustubh Chakraborty
October 29, 2022 | History
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An edition of Probabilistic Models for Dynamical Systems (2013)

Probabilistic Models for Dynamical Systems

by , , and

  • 0 Ratings
  • 1 Want to read
  • 0 Currently reading
  • 0 Have read

This book provides a suitable resource for self-study and can be used as an all-inclusive introduction to probability for engineering. It presents basic concepts, presents history and insight, and highlights applied probability in a practical manner. With updated information, this edition includes new sections, problems, applications, and examples. Biographical summaries spotlight relevant historical figures, providing life sketches, their contributions, relevant quotes, and what makes them noteworthy. A new chapter on control and mechatronics, and over 300 illustrations rounds out the coverage.

Publish Date
Publisher
Taylor & Francis Group
Language
English
Pages
764

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Subjects
Reliability (engineering), Dynamics, Mathematical models, Probabilities, Random variables, Mathematical statistics

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Edition Availability
Cover of: Probabilistic Models for Dynamical Systems
Probabilistic Models for Dynamical Systems
2013, Taylor & Francis Group
in English
Libraries near you: WorldCat
Cover of: Probabilistic Models for Dynamical Systems
Probabilistic Models for Dynamical Systems
2013, Taylor & Francis Group
in English
  • Not in Library
Libraries near you: WorldCat
Cover of: Probabilistic Models for Dynamical Systems
Probabilistic Models for Dynamical Systems
2013, Taylor & Francis Group
in English
Libraries near you: WorldCat

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Book Details

Edition Notes

Now in its second edition, Probabilistic Models for Dynamical Systems expands on the subject of probability theory. Written as an extension to its predecessor, this revised version introduces students to the randomness in variables and time dependent functions, and allows them to solve governing equations.

  • Introduces probabilistic modeling and explores applications in a wide range of engineering fields
  • Identifies and draws on specialized texts and papers published in the literature
  • Develops the theoretical underpinnings and covers approximation methods and numerical methods
  • Presents material relevant to students in various engineering disciplines as well as professionals in the field.

ID Numbers

Open Library
OL29266673M
ISBN 13
9781439850152

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
October 29, 2022 Edited by Kaustubh Chakraborty Updated informations of the book
October 29, 2022 Edited by Kaustubh Chakraborty //covers.openlibrary.org/b/id/12980005-S.jpg
August 24, 2020 Created by ImportBot Imported from Better World Books record.