000 | 01816nam a2200301 i 4500 | ||
---|---|---|---|
003 | IN-BdCUP | ||
005 | 20250103125022.0 | ||
008 | 191223s2021||||enk o ||1 0|eng|d | ||
020 |
_a9781108882316 (ebook) _z9781108841429 (hardback) |
||
040 |
_aIN-BdCUP _beng _cIN-BdCUP _erda |
||
041 | _aeng | ||
050 |
_aQC174.8 _b.B68 2021 |
||
082 | _a530.13 | ||
100 |
_aBottcher, Lucas _eAuthor |
||
245 | 0 |
_aComputational statistical physics / _cLucas Bo?ttcher, Hans J. Herrmann. |
|
264 |
_aCambridge : _bCambridge University Press, _c2021 |
||
300 |
_a1 online resource (xiii, 257 pages) : _bdigital, PDF file(s). |
||
336 |
_atext _btxt |
||
337 | _2rdamedia | ||
338 |
_aonline resource _bcr _2rdacarrier |
||
500 | _aTitle from publisher's bibliographic system (viewed on 24 Aug 2021). | ||
520 | _aProviding a detailed and pedagogical account of the rapidly-growing field of computational statistical physics, this book covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications such as percolation, random walks, magnetic systems, machine learning dynamics, and spreading processes on complex networks. A detailed discussion of molecular dynamics simulations is also included, a topic of great importance in biophysics and physical chemistry. The accessible and self-contained approach adopted by the authors makes this book suitable for teaching courses at graduate level, and numerous worked examples and end of chapter problems allow students to test their progress and understanding. | ||
650 | _aStatistical physics. | ||
700 |
_aHerrmann, Hans J., _eauthor. |
||
776 |
_iPrint version: _z9781108882316 |
||
856 |
_3Electronic Book Resource _uhttps://doi.org/10.1017/9781108882316 |
||
942 |
_2ddc _cE |
||
999 |
_c54674 _d54674 |