Computational statistical physics:
Providing 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, mag...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
Cambridge
Cambridge University Press
2021
|
Links: | https://doi.org/10.1017/9781108882316 |
Summary: | Providing 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. |
Physical Description: | 1 Online-Ressource (xiii, 257 Seiten) |
ISBN: | 9781108882316 |
Staff View
MARC
LEADER | 00000nam a2200000 i 4500 | ||
---|---|---|---|
001 | ZDB-20-CTM-CR9781108882316 | ||
003 | UkCbUP | ||
005 | 20210907082808.0 | ||
006 | m|||||o||d|||||||| | ||
007 | cr|||||||||||| | ||
008 | 191223s2021||||enk o ||1 0|eng|d | ||
020 | |a 9781108882316 | ||
100 | 1 | |a Böttcher, Lucas | |
245 | 1 | 0 | |a Computational statistical physics |c Lucas Böttcher, Hans J. Herrmann |
264 | 1 | |a Cambridge |b Cambridge University Press |c 2021 | |
300 | |a 1 Online-Ressource (xiii, 257 Seiten) | ||
336 | |b txt | ||
337 | |b c | ||
338 | |b cr | ||
520 | |a Providing 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. | ||
700 | 1 | |a Herrmann, Hans J. | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781108841429 |
966 | 4 | 0 | |l DE-91 |p ZDB-20-CTM |q TUM_PDA_CTM |u https://doi.org/10.1017/9781108882316 |3 Volltext |
912 | |a ZDB-20-CTM | ||
912 | |a ZDB-20-CTM | ||
049 | |a DE-91 |
Record in the Search Index
DE-BY-TUM_katkey | ZDB-20-CTM-CR9781108882316 |
---|---|
_version_ | 1827038445967507456 |
adam_text | |
any_adam_object | |
author | Böttcher, Lucas |
author2 | Herrmann, Hans J. |
author2_role | |
author2_variant | h j h hj hjh |
author_facet | Böttcher, Lucas Herrmann, Hans J. |
author_role | |
author_sort | Böttcher, Lucas |
author_variant | l b lb |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-20-CTM |
format | eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01502nam a2200253 i 4500</leader><controlfield tag="001">ZDB-20-CTM-CR9781108882316</controlfield><controlfield tag="003">UkCbUP</controlfield><controlfield tag="005">20210907082808.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr||||||||||||</controlfield><controlfield tag="008">191223s2021||||enk o ||1 0|eng|d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108882316</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Böttcher, Lucas</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Computational statistical physics</subfield><subfield code="c">Lucas Böttcher, Hans J. Herrmann</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiii, 257 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Providing 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.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Herrmann, Hans J.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781108841429</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-20-CTM</subfield><subfield code="q">TUM_PDA_CTM</subfield><subfield code="u">https://doi.org/10.1017/9781108882316</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-20-CTM-CR9781108882316 |
illustrated | Not Illustrated |
indexdate | 2025-03-19T15:54:00Z |
institution | BVB |
isbn | 9781108882316 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (xiii, 257 Seiten) |
psigel | ZDB-20-CTM TUM_PDA_CTM ZDB-20-CTM |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Cambridge University Press |
record_format | marc |
spelling | Böttcher, Lucas Computational statistical physics Lucas Böttcher, Hans J. Herrmann Cambridge Cambridge University Press 2021 1 Online-Ressource (xiii, 257 Seiten) txt c cr Providing 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. Herrmann, Hans J. Erscheint auch als Druck-Ausgabe 9781108841429 |
spellingShingle | Böttcher, Lucas Computational statistical physics |
title | Computational statistical physics |
title_auth | Computational statistical physics |
title_exact_search | Computational statistical physics |
title_full | Computational statistical physics Lucas Böttcher, Hans J. Herrmann |
title_fullStr | Computational statistical physics Lucas Böttcher, Hans J. Herrmann |
title_full_unstemmed | Computational statistical physics Lucas Böttcher, Hans J. Herrmann |
title_short | Computational statistical physics |
title_sort | computational statistical physics |
work_keys_str_mv | AT bottcherlucas computationalstatisticalphysics AT herrmannhansj computationalstatisticalphysics |