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...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2005. |
| Col·lecció: | Algorithms and Computation in Mathematics
13 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational ergodic theory, Geon Ho Choe, New York, NY, Springer, 2005, 1 vol. (XIX-453 p.), Algorithms and computation in mathematics, 3-540-23121-8 • Computational Ergodic Theory, Texte imprimé, 9783540803966 • Computational ergodic theory, with 250 figures and 10 tables, Geon Ho Choe, New York, NY, Springer, 2010, 1 vol. (XIX-453 p.), Algorithms and computation in mathematics, 978-3-642-06207-0 • Computational ergodic theory, Geon Ho Choe, New York, NY, Springer, 2005, 1 vol. (XIX-453 p.), Algorithms and computation in mathematics, 3-540-23121-8 |
Taula de continguts:
- 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