Computational Ergodic Theory
2554 Kč
Sleva až 70% u třetiny knih
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. One last remark: The last chapter explains the relation between entropy and data compression, which belongs to information theory and not to ergodic theory.
Autor: | Choe, Geon Ho |
Nakladatel: | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG |
ISBN: | 9783540231219 |
Rok vydání: | 2005 |
Jazyk : | Angličtina |
Vazba: | Hardback |
Počet stran: | 453 |
Mohlo by se vám také líbit..
-
Stochastic Analysis for Finance with...
Choe, Geon Ho
-
Theory of Metal Forming Plasticity
Sluzalec, Andrzej
-
Integral Closure
Vasconcelos, Wolmer
-
Topologie Generale
Bourbaki, N
-
Statistical Physics
Honerkamp, Josef
-
Introductory Mathematics: Algebra an...
Nowell-Smith, Geoffrey
-
Computational Geometry
Bergin Mark
-
Perturbation Theory for Linear Opera...
Kato, Tosio
-
Basic Stochastic Processes
Brzezniak, Zdzislaw; Zastawniak, Tomasz
-
Elementary Number Theory
Jones, Gareth
-
Adaptive Business Intelligence
Michalewicz, Zbigniew; Fogel, David B.
-
Infinite Dimensional Analysis
Aliprantis, Charalambos D. (Purdue University, Indianapolis, U.S.A.); Burkinshaw, Owen (Indiana University-Purdue Univer
-
Optimal Transport
Villani Cédric
-
Stochastic Differential Equations
Oksendal, Bernt
-
Graph Theory
Diestel, Reinhard
-
Convex Analysis and Minimization Algo...
Hiriart-Urruty, Jean-Baptiste; Lemarechal, Claude