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008 140113s2015||||enk o ||1 0|eng|d
020 _a9781139696463 (ebook)
020 _z9781107074026 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQC174.85.M64
_bL36 2015
082 0 4 _a530.13
_223
100 1 _aLandau, David P.,
_eauthor.
245 1 2 _aA guide to Monte Carlo simulations in statistical physics /
_cDavid P. Landau, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut für Physik, Johannes-Gutenberg-Universität, Germany.
250 _aFourth edition.
264 1 _aCambridge :
_bCambridge University Press,
_c2015.
300 _a1 online resource (xvii, 519 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aDealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. This fourth edition contains extensive new material describing numerous powerful algorithms not covered in previous editions, in some cases representing new developments that have only recently appeared. Older methodologies whose impact was previously unclear or unappreciated are also introduced, in addition to many small revisions that bring the text and cited literature up to date. This edition also introduces the use of petascale computing facilities in the Monte Carlo arena. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.
650 0 _aMonte Carlo method.
650 0 _aStatistical physics.
700 1 _aBinder, K.
_q(Kurt),
_d1944-
_eauthor.
776 0 8 _iPrint version:
_z9781107074026
856 4 0 _uhttps://doi.org/10.1017/CBO9781139696463
907 _a.b16844142
_b2020-12-22
_c2020-12-22
942 _n0
998 _a1
_b2020-12-22
_cm
_da
_feng
_genk
_y0
_z.b16844142
999 _c651758
_d651758