000 02845cam a2200313 i 4500
003 CUTN
005 20180412122636.0
008 150615s2015 enka b 001 0 eng
020 _a9781107074026
020 _a9781107074026 (hardback)
041 _aEnglish
042 _apcc
082 _a530.13
_bLAN
100 1 _aLandau, David P.
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.
300 _axvii, 519 pages :
_billustrations ;
_c26 cm
500 _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.
505 _a1. Introduction; 2. Some necessary background; 3. Simple sampling Monte Carlo methods; 4. Importance sampling Monte Carlo methods; 5. More on importance sampling Monte Carlo methods for lattice systems; 6. Off-lattice models; 7. Reweighting methods; 8. Quantum Monte Carlo methods; 9. Monte Carlo renormalization group methods; 10. Non-equilibrium and irreversible processes; 11. Lattice gauge models: a brief introduction; 12. A brief review of other methods of computer simulation; 13. Monte Carlo simulations at the periphery of physics and beyond; 14. Monte Carlo studies of biological molecules; 15. Outlook; Appendix: listing of programs mentioned in the text; Index.
650 0 _aMonte Carlo method.
650 0 _aStatistical physics.
700 1 _aBinder, K.
942 _2ddc
_cBOOKS
246 3 0 _aMonte Carlo simulations in statistical physics
504 _aIncludes bibliographical references and index.
700 1 _q(Kurt),
_d1944-
906 _a7
_bcbc
_corigcop
_d2
_encip
_f20
_gy-gencatlg
999 _c24683
_d24683