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2010, ISBN: 3642062075, Lieferbar binnen 4-6 Wochen Shipping costs:Versandkostenfrei innerhalb der BRD

ID: 9783642062070

Internationaler Buchtitel. In englischer Sprache. Verlag: Springer-Verlag GmbH, Paperback, 476 Seiten, L=235mm, B=155mm, H=25mm, Gew.=713gr, [GR: 16270 - HC/Mathematik/Analysis], Kartoniert/Broschiert, Klappentext: 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. 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.

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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 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. Textbooks New Books ~~ Mathematics~~ Applied Computational-Ergodic-Theory~~Geon-Ho-Choe Springer Berlin Heidelberg 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.

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ISBN: 9783642062070

ID: 978364206207

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. Geon Ho Choe, Books, Science and Nature, Computational Ergodic Theory Books>Science and Nature, Springer Berlin Heidelberg

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2005, ISBN: 9783642062070

ID: 819684626

Computational Ergodic Theory ab 79.99 EURO Algorithms and Computation in Mathematics. Softcover reprint of hardcover 1st ed. 2005. Computational Ergodic Theory ab 79.99 EURO Algorithms and Computation in Mathematics. Softcover reprint of hardcover 1st ed. 2005. Bücher > Wissenschaft > Mathematik, [PU: Springer, Berlin/Heidelberg/New York, NY]

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2010, ISBN: 9783642062070

Hardcover, ID: 14928537

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

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** Details of the book - Computational Ergodic Theory**

EAN (ISBN-13): 9783642062070

ISBN (ISBN-10): 3642062075

Hardcover

Paperback

Publishing year: 2010

Publisher: Springer-Verlag GmbH

476 Pages

Weight: 0,713 kg

Language: eng/Englisch

Book in our database since 15.02.2012 10:05:22

Book found last time on 14.02.2018 09:05:06

ISBN/EAN: 9783642062070

ISBN - alternate spelling:

3-642-06207-5, 978-3-642-06207-0

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