000			02004nam a2200289Ia 4500
003			OSt
005			20251224141926.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9781107074026
037			_cTextbook
040			_aCSL _beng _cCSL
041			_aeng
084			_aB2817M0bCN2, Q5 TC _qCSL
100			_aLandau, David P. _eauthor. _9859399
245		0	_aGuide to monte carlo simulations in statistical physics
250			_a4th
260			_aUK: _bCUP, _c2015.
300			_axvii, 519p. _b: ill.
500			_aAppendix 479-510p.; Index 511-519p.
520			_a Dealing 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			_a Irreversible provesses _9859400
650			_a Reweighting methods _9859401
650			_aOff lattice models _9859402
700			_a Binder, Kurt _9859403 _eauthor.
942			_hB2817M0bCN2, Q5 TC _cTB _2CC _n0
999			_c16337 _d16337