Povej prijatelju o tem izdelku:
Introduction to Nonextensive Statistical Mechanics: Approaching a Complex World Constantino Tsallis Second Edition 2023 edition
Naročeno iz oddaljenega skladišča
Kaj pravijo naše stranke:
Na voljo tudi kot:
Introduction to Nonextensive Statistical Mechanics: Approaching a Complex World
Constantino Tsallis
This book focuses on nonextensive statistical mechanics, a current generalization of Boltzmann-Gibbs (BG) statistical mechanics.
Conceived nearly 150 years ago by Maxwell, Boltzmann and Gibbs, the BG theory, one of the greatest monuments of contemporary physics, exhibits many impressive successes in physics, chemistry, mathematics, and computational sciences. Presently, several thousands of publications by scientists around the world have been dedicated to its nonextensive generalization. A variety of applications have emerged in complex systems and its mathematical grounding is by now well advanced.
Since the first edition release twelve years ago, there has been a vast amount of new results in the field, all of which have been incorporated in this comprehensive second edition. Heavily revised and updated with new sections and figures, the second edition remains the go-to text on the subject.
A pedagogical introduction to the BG theory concepts and their generalizations - nonlinear dynamics, extensivity of the nonadditive entropy, global correlations, generalization of the standard CLT's, complex networks, 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. Introduction to Nonextensive Statistical Mechanics is suitable for students and researchers with an interest in complex systems and statistical physics.
728 pages, 206 Illustrations, color; 163 Illustrations, black and white; XVI, 728 p. 369 illus., 206
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 31. januarja 2023 |
| ISBN13 | 9783030795689 |
| Založniki | Springer Nature Switzerland AG |
| Strani | 569 |
| Dimenzije | 243 × 162 × 34 mm · 1,06 kg |
| Jezik | Angleščina |
![Cover for Deborah Morrison · Brave Work in the Age of Climate Change: A Creative's Guide to Making Compelling Advertising and Brand Messages in Complicated Times (Paperback Book) [2022 edition] (2027)](https://imusic-static.b-cdn.net/images/missing-tall.png)
![Cover for David Kergel · Qualitative Educational and Bildungs Research (Hardcover Book) [2nd Second 2026 edition] (2027)](https://imusic.b-cdn.net/images/item/original/171/9783032186171.jpg?david-kergel-2027-qualitative-educational-and-bildungs-research-hardcover-book&class=scaled&v=1778118707)
![Cover for Matthew Harker · Fractional Differential Equations: Numerical Methods for Applications - Studies in Systems, Decision and Control (Hardcover Book) [2021 edition] (2027)](https://imusic.b-cdn.net/images/item/original/769/9783030323769.jpg?matthew-harker-2027-fractional-differential-equations-numerical-methods-for-applications-studies-in-systems-decision-and-control-hardcover-book&class=scaled&v=1604147403)
![Cover for Joseph F. Hair Jr. · Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook - Classroom Companion: Business (Hardcover Book) [Second Edition 2026 edition] (2027)](https://imusic.b-cdn.net/images/item/original/214/9783032283214.jpg?joseph-f-hair-jr-2027-partial-least-squares-structural-equation-modeling-pls-sem-using-r-a-workbook-classroom-companion-business-hardcover-book&class=scaled&v=1780320212)
![Cover for Sandro Skansi · Introduction to Deep Learning: Neural Networks, Large Language Models and Agentic AI - Undergraduate Topics in Computer Science (Paperback Book) [Second Edition 2027 edition] (2027)](https://imusic.b-cdn.net/images/item/original/597/9783032254597.jpg?sandro-skansi-2027-introduction-to-deep-learning-neural-networks-large-language-models-and-agentic-ai-undergraduate-topics-in-computer-science-paperback-book&class=scaled&v=1780344601)
