Buch, Englisch, 278 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1290 g
Reihe: Lecture Notes in Physics
Buch, Englisch, 278 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1290 g
Reihe: Lecture Notes in Physics
ISBN: 978-3-540-41208-3
Verlag: Springer Berlin Heidelberg
Nonextensive statistical mechanics is now a rapidly growing field and a new stream in the research of the foundations of statistical mechanics. This generalization of the well-known Boltzmann--Gibbs theory enables the study of systems with long-range interactions, long-term memories or multi-fractal structures. This book consists of a set of self-contained lectures and includes additional contributions where some of the latest developments -- ranging from astro- to biophysics -- are covered. Addressing primarily graduate students and lecturers, this book will also be a useful reference for all researchers working in the field.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Physik Angewandte Physik Astrophysik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
- Naturwissenschaften Physik Thermodynamik
- Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
- Naturwissenschaften Astronomie Astrophysik
- Naturwissenschaften Physik Angewandte Physik Biophysik
Weitere Infos & Material
Lectures on Nonextensive Statistical Mechanics.- I. Nonextensive Statistical Mechanics and Thermodynamics: Historical Background and Present Status.- II. Quantum Density Matrix Description of Nonextensive Systems.- III. Tsallis Theory, the Maximum Entropy Principle, and Evolution Equations.- IV. ComputationalMetho ds for the Simulation of Classical and Quantum Many Body Systems Arising from Nonextensive Thermostatistics.- Further Topics.- V. Correlation Induced by Nonextensivity and the Zeroth Law of Thermodynamics.- VI. Dynamic and Thermodynamic Stability of Nonextensive Systems.- VII. Generalized Simulated Annealing Algorithms Using Tsallis Statistics: Application to ±J Spin Glass Model.- VIII. Protein Folding Simulations by a Generalized-Ensemble Algorithm Based on Tsallis Statistics.
