Notice bibliographique
- Notice
000 02288n0 m 22000271 45as
001 FRBNF446846100000004
008 170801s 2005 deeng b 001
009 a zd a z
009 sa 1 a c
017 .. $o OCoLC $a 652731182 $k MUQ $l fre $m ZWZ $m OCLCQ $m U9S $m OCLCO $m GA0 $n pn
020 .. $a 9783540273059
051 .. $a txt $b c
245 1. $a Computational ergodic theory $d Texte électronique $f Geon Ho Choe
260 .. $a Berlin $c Springer-Verlag $d 2005
280 .. $a 1 online resource (1 texte électronique)
295 1. $a Algorithms and computation in mathematics $v v. 13
300 .. $a Titre de l'écran-titre (visionné le Jan. 30, 2008)
300 .. $a In Springer Link (Monographies électroniques)
300 .. $a Versement en lot
300 .. $a Comprend des références bibliographiques
330 .. $a "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 ben 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."--Résumé de l'éditeur
