Download BookIntroduction to Nonextensive Statistical Mechanics Approaching a Complex World

Ebook Introduction to Nonextensive Statistical Mechanics Approaching a Complex World

Ebook Introduction to Nonextensive Statistical Mechanics Approaching a Complex World

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Book Details :
Published on: 2009-03-11
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Original language: English

Metaphors, generalizations and unifications are natural and desirable ingredients of the evolution of scientific theories and concepts. Physics, in particular, obviously walks along these paths since its very beginning. This book focuses on nonextensive statistical mechanics, a current generalization of Boltzmann-Gibbs (BG) statistical mechanics, one of the greatest monuments of contemporary physics. Conceived more than 130 years ago by Maxwell, Boltzmann and Gibbs, the BG theory exhibits uncountable – some of them impressive – successes in physics, chemistry, mathematics, and computational sciences, to name a few. Presently, more than two thousand publications, by over 1800 scientists around the world, have been dedicated to the nonextensive generalization. Remarkable applications have emerged, and its mathematical grounding is by now relatively well established. A pedagogical introduction to its concepts – nonlinear dynamics, extensivity of the nonadditive entropy, global correlations, generalization of the standard CLT’s, among others – is presented in this book as well as a selection of paradigmatic applications in various sciences together with diversified experimental verifications of some of its predictions. This is the first pedagogical book on the subject, written by the proponent of the theory Presents many applications to interdisciplinary complex phenomena in virtually all sciences, ranging from physics to medicine, from economics to biology, through signal and image processing and others Offers a detailed derivation of results, illustrations and for the first time detailed presentation of Nonextensive Statistical Mechanics Introduction to nonextensive statistical mechanics ... Introduction to nonextensive statistical mechanics : ... statistical mechanics : approaching a complex ... the world have been dedicated to its nonextensive ... Introduction to Nonextensive Statistical Mechanics ... ... Statistical Mechanics: Approaching a Complex World on ... Mechanics: Approaching a Complex World ... Introduction to Nonextensive Statistical ... Introduction To Nonextensive Statistical Mechanics ... Introduction To Nonextensive Statistical Mechanics Approaching A Complex World ... Introduction To Nonextensive Statistical Mechanics Approaching A Complex ... Introduction To Nonextensive Statistical Mechanics ... Introduction To Nonextensive Statistical Mechanics Approaching A Complex World File Archived Document Type Reif Statistical ... Introduction to nonextensive statistical mechanics ... Introduction to nonextensive statistical mechanics : approaching a complex ... Introduction to Nonextensive Statistical Mechanics (Approaching a complex World) ... Introduction to Nonextensive Statistical Mechanics Introduction to Nonextensive Statistical Mechanics. ... Statistical Mechanics Approaching a Complex World 123. Constantino Tsallis Centro Brasileiro de Pesquisas F ... Introduction to Nonextensive Statistical Mechanics - Springer Introduction to Nonextensive Statistical Mechanics Approaching a Complex World. ... Introduction to Nonextensive Statistical Mechanics ... Approaching a Complex World Introduction To Nonextensive Statistical Mechanics ... Introduction To Nonextensive Statistical Mechanics Approaching A Complex ... Mechanics Approaching A Complex World ... introduction to nonextensive statistical ... Introduction to Nonextensive Statistical Mechanics ... Introduction to Nonextensive Statistical Mechanics (Approaching a complex World) ... is an appealing introduction to a wide variety of exciting subjects ... Introduction to Nonextensive Statistical Mechanics ... Introduction to Nonextensive Statistical Mechanics: Approaching a Complex World ... nonextensive statistical mechanics ... Introduction to Nonextensive Statistical ...
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