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Computational Ergodic Theory - Geon Ho Choe
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Geon Ho Choe:

Computational Ergodic Theory - Paperback

2021, ISBN: 9783642062070

[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master fo… More...

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Computational Ergodic Theory - Geon Ho Choe
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Geon Ho Choe:

Computational Ergodic Theory - Paperback

ISBN: 9783642062070

Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors. Many of the… More...

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Computational Ergodic Theory - new book

ISBN: 9783642062070

Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors. Many of the… More...

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Computational Ergodic Theory - Choe, Geon Ho
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Choe, Geon Ho:
Computational Ergodic Theory - Paperback

2010, ISBN: 3642062075

Hardcover

Softcover reprint of hardcover 1st ed. 2005 Kartoniert / Broschiert Mathematische Physik, Mathematik für Ingenieure, LyapunovExponent; Maplesimulations; dynamicalsystems; entropy; ergod… More...

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Geon Ho Choe:
Computational Ergodic Theory - First edition

2010, ISBN: 9783642062070

Paperback

Buch, Softcover, Softcover reprint of hardcover 1st ed. 2005, [PU: Springer Berlin], Springer Berlin, 2010

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Details of the book
Computational Ergodic Theory

Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors. Many of the examples are introduced from a different perspective than in other books and theoretical ideas can be gradually absorbed while doing computer experiments. Theoretically less prepared students can appreciate the deep theorems by doing various simulations. The computer experiments are simple but they have close ties with theoretical implications. Even the researchers in the field can benefit by checking their conjectures, which might have been regarded as unrealistic to be programmed easily, against numerical output using some of the ideas in the book. One last remark: The last chapter explains the relation between entropy and data compression, which belongs to information theory and not to ergodic theory. It will help students to gain an understanding of the digital technology that has shaped the modern information society.

Details of the book - Computational Ergodic Theory


EAN (ISBN-13): 9783642062070
ISBN (ISBN-10): 3642062075
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer Berlin
476 Pages
Weight: 0,713 kg
Language: eng/Englisch

Book in our database since 2012-02-15T09:05:22+00:00 (London)
Detail page last modified on 2023-03-23T07:06:08+00:00 (London)
ISBN/EAN: 9783642062070

ISBN - alternate spelling:
3-642-06207-5, 978-3-642-06207-0
Alternate spelling and related search-keywords:
Book author: choe
Book title: ergodic theory and


Information from Publisher

Author: Geon Ho Choe
Title: Algorithms and Computation in Mathematics; Computational Ergodic Theory
Publisher: Springer; Springer Berlin
453 Pages
Publishing year: 2010-10-21
Berlin; Heidelberg; DE
Printed / Made in
Weight: 0,724 kg
Language: English
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XX, 453 p. 250 illus.

BC; Dynamical Systems and Ergodic Theory; Hardcover, Softcover / Mathematik/Analysis; Kybernetik und Systemtheorie; Verstehen; Lyapunov exponent; Maple simulations; dynamical systems; entropy; ergodic theory; linear optimization; simulation; Theoretical, Mathematical and Computational Physics; Mathematical and Computational Engineering; Dynamical Systems; Theoretical, Mathematical and Computational Physics; Mathematical and Computational Engineering Applications; Mathematische Physik; Mathematik für Ingenieure; BB

Prerequisites.- Invariant Measures.- The Birkhoff Ergodic Theorem.- The Central Limit Theorem.- More on Ergodicity.- Homeomorphisms of the Circle.- Mod 2 Uniform Distribution.- Entropy.- The Lyapunov Exponent: One-Dimensional Case.- The Lyapunov Exponent: Multidimensional Case.- Stable and Unstable Manifolds.- Recurrence and Entropy.- Recurrence and Dimension.- Data Compression.

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Latest similar book:
9783540231219 Computational Ergodic Theory (Algorithms and Computation in Mathematics, Vol. 13) (Algorithms and Computation in Mathematics (13)) (Choe, Geon Ho)


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