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In this book, 16 experts describe the application of methods of statistical physics to various areas in physics: disordered materials, quasicrystals, semiconductors, and also to other areas beyond physics, such as financial markets, game theory, evolution, and traffic planning, in which statistical physics has recently become significant.

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Produktbeschreibung
In this book, 16 experts describe the application of methods of statistical physics to various areas in physics: disordered materials, quasicrystals, semiconductors, and also to other areas beyond physics, such as financial markets, game theory, evolution, and traffic planning, in which statistical physics has recently become significant.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
In this book, 16 experts describe the application of methods of statistical physics to various areas in physics: disordered materials, quasicrystals, semiconductors, and also to other areas beyond physics, such as financial markets, game theory, evolution, and traffic planning, in which statistical physics has recently become significant.
Rezensionen
From the reviews of the first edition: "This book contains 17 chapters devoted to the use of statistical mechanical methods in areas not belonging to physics and also a few which do belong to physics. Each chapter is a nicely written tutorial presentation of the problem and of the numerical techniques used to solve it. ... Each of these chapters can be used as a concise introduction ... ." (M. Baus, Physicalia, Issue 6, 2002) "This book is a different style of computational physics text, rather more like the conference proceedings than the usual undergraduate text. ... The result then is quite a pleasing survey of current topics in computational statistical physics. ... For the lecturer this is a very attractive resource for project length problems in a computational physics course for higher undergraduate or early graduate level students. For graduate students it is a good survey of modern statistical physics problems that lend themselves to numerical treatment." (G. P. Morriss, The Physicist, Vol. 39 (3), 2002)