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Critical Phenomena in Natural Sciences: Chaos, Fractals, Selforganization and Disorder: Concepts and Tools (Springer Series in Synergetics) (Englisch) Taschenbuch – 22. Februar 2009

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"This is a magnificent book. Most of the examples given are taken from geosciences, although possible applications of the theory presented are promised for other fields. The contribution of statistical mechanics to modern physics has been enormous, and the text fully reflects this importance. The scope is vast, [...] a brilliant bird’s eye view of natural sciences. [...] This splendid book will find a readership among graduate students, researchers and engineers. It inspires ideas and provides means to play with them. Some of the extraordinarily efficient methods presented lead quickly to very practical results." (Pure and Applied Geophysics, 160, 2003)

"This is an excellent book, a timely and vital contribution written with a great clarity of style ..." (The Physicist, 2001)

-- Dieser Text bezieht sich auf eine vergriffene oder nicht verfügbare Ausgabe dieses Titels.


Concepts, methods and techniques of statistical physics in the study of correlated, as well as uncorrelated, phenomena are being applied ever increasingly in the natural sciences, biology and economics in an attempt to understand and model the large variability and risks of phenomena. This is the first textbook written by a well-known expert that provides a modern up-to-date introduction for workers outside statistical physics. The emphasis of the book is on a clear understanding of concepts and methods, while it also provides the tools that can be of immediate use in applications. Although this book evolved out of a course for graduate students, it will be of great interest to researchers and engineers, as well as to post-docs in geophysics and meteorology.

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Amazon.com: HASH(0x918d22d0) von 5 Sternen 3 Rezensionen
17 von 19 Kunden fanden die folgende Rezension hilfreich
HASH(0x917d8f6c) von 5 Sternen A must for understanding complexity 6. September 2001
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
Sornette's book is quite an achievement both in quantity and
quality. The presentation remains informal and quite readable; it reads like a physics textbook, not a math textbook. The references are very extensive (a total of 832! altogether) and they are a very valuable component of the book. In fact much of the book is about the reference material. You might choose to read the book instead of the 832 references... I think this is
the point...
There's probably nothing wrong with this book besides the fact that it throws it all at you at a high degree of sophistication and in as terse a way as possible, it seems. It's a unique and beautiful achievement but because it is so dense with information and insight, it seems every word counts for ten and you'll want to read several chapters again and again. Also, even though there is a clear unifying theme from chapter to chapter, the book simply ends almost like in the middle of a sentence. After machinegunning out 392 pages of material at research level spanning quite a few scientific fields, there is absolutely no attempt to put it all together. It's up to you to do it and it almost seems like the author is indirectly suggesting you start reading it all over again to "get it"... So, for the second edition, perhaps the author will be bold and add ten pages of wrap up material at the end so that this will read less like an atlas. Apart from that, it's the best!
2 von 2 Kunden fanden die folgende Rezension hilfreich
HASH(0x917dd444) von 5 Sternen Excellent mathematical survey of complexity 2. November 2011
Von T. Hogg - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This book describes many mathematical techniques used to study complex systems and numerous applications. These techniques include random walks, large deviations, fractals, power laws and renormalization. A strength of the book is relating these techniques to each other and applications in several fields. The book assumes readers are comfortable with calculus and statistics. It thus complements introductory books such as Complexity: A Guided Tour and how nature works: the science of self-organized criticality.

The book includes an extensive bibliography, and provides a unifying survey of these references. Unfortunately, the index is skimpy making it difficult to quickly find particular topics when using the book as a reference. E.g., the discussions of 'coherent noise', 'finite-size scaling' an 'highly optimized tolerance' are not mentioned in the index. The text has numerous typos that would easily be found by a spell checker, giving the impression there may also be more substantive errors.
5 von 8 Kunden fanden die folgende Rezension hilfreich
HASH(0x917dd3f0) von 5 Sternen One of the best textbooks ever written for graduate students 9. April 2004
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
Didier Sornette who is potentialy nobelisable realises with this book a great present for everybody interested to the recent progresses toward the physics of critical phenomena.
Particularly, it shows the way that some seismologists follow toward the ultimate goal to predict the event of large earthquakes. If this task was impossible yesterday,Didier Sornette shows that it is now became realisable.
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