Generalised Thermostatistics

Name: Generalised Thermostatistics
Brand: Springer, Berlin
SKU: 9780857293541
Price: 40303 HUF
Availability: InStock

Szerző: Jan Naudts

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 13-18 napon belül

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The domain of non-extensive thermostatistics has been subject to intensive research over the past tw...

Információk a könyvről

Szerző

Jan Naudts

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2011

oldal

199

EAN

9780857293541

ISBN

0857293540

Enbook ID

01399981

Kiadó

Springer, Berlin

Súly

480

Méretek

155 x 235 x 19

Teljes leírás

The domain of non-extensive thermostatistics has been subject to intensive research over the past twenty years and has matured significantly. Generalised Thermostatistics cuts through the traditionalism of many statistical physics texts by offering a fresh perspective and seeking to remove elements of doubt and confusion surrounding the area.The book is divided into two parts - the first covering topics from conventional statistical physics, whilst adopting the perspective that statistical physics is statistics applied to physics. The second developing the formalism of non-extensive thermostatistics, of which the central role is played by the notion of a deformed exponential family of probability distributions.Presented in a clear, consistent, and deductive manner, the book focuses on theory, part of which is developed by the author himself, but also provides a number of references towards application-based texts.Written by a leading contributor in the field, this book will provide a useful tool for learning about recent developments in generalized versions of statistical mechanics and thermodynamics, especially with respect to self-study. Written for researchers in theoretical physics, mathematics and statistical mechanics, as well as graduates of physics, mathematics or engineering. A prerequisite knowledge of elementary notions of statistical physics and a substantial mathematical background are required.

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