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001 978-3-540-40919-9
003 DE-He213
005 20190213151842.0
007 cr nn 008mamaa
008 121227s2001 gw | s |||| 0|eng d
020 _a9783540409199
_9978-3-540-40919-9
024 7 _a10.1007/3-540-40919-X
_2doi
050 4 _aQC174.7-175.36
072 7 _aPHS
_2bicssc
072 7 _aSCI055000
_2bisacsh
072 7 _aPHS
_2thema
072 7 _aPHDT
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082 0 4 _a621
_223
245 1 0 _aNonextensive Statistical Mechanics and Its Applications
_h[electronic resource] /
_cedited by Sumiyoshi Abe, Yuko Okamoto.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2001.
300 _aIX, 278 p. 9 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Physics,
_x0075-8450 ;
_v560
505 0 _aLectures 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.
520 _aNonextensive 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.
650 0 _aThermodynamics.
650 0 _aStatistical physics.
650 1 4 _aComplex Systems.
_0http://scigraph.springernature.com/things/product-market-codes/P33000
650 2 4 _aThermodynamics.
_0http://scigraph.springernature.com/things/product-market-codes/P21050
650 2 4 _aStatistical Physics and Dynamical Systems.
_0http://scigraph.springernature.com/things/product-market-codes/P19090
700 1 _aAbe, Sumiyoshi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aOkamoto, Yuko.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642074448
776 0 8 _iPrinted edition:
_z9783540412083
776 0 8 _iPrinted edition:
_z9783662143216
830 0 _aLecture Notes in Physics,
_x0075-8450 ;
_v560
856 4 0 _uhttps://doi.org/10.1007/3-540-40919-X
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912 _aZDB-2-LNP
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