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… Plus…

[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 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.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 2.70], Neuware, gewerbliches Angebot, 235x155x25 mm, 476, [GW: 715g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

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… Plus…

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. Books > Mathematics Soft cover, Springer Shop<

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… Plus…

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. Books List_Books, [PU: Springer, Berlin/Heidelberg/New York, NY]<

2010, ISBN: 3642062075

Edition reliée

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

Softcover reprint of hardcover 1st ed. 2005 Kartoniert / Broschiert Mathematische Physik, Mathematik für Ingenieure, LyapunovExponent; Maplesimulations; dynamicalsystems; entropy; ergodictheory; linearoptimization; Simulation, mit Schutzumschlag 11, [PU:Springer Berlin Heidelberg; Springer Berlin]<

2010, ISBN: 9783642062070

Livres de poche

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