Monte Carlo Simulation in Statistical Physics: An Introduction
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1988
|
| Schriftenreihe: | Springer Series in Solid-State Sciences
80 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | When leaming very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "reallife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects |
| Beschreibung: | 1 Online-Ressource (VIII, 129 p) |
| ISBN: | 9783662088548 9783662088562 |
| ISSN: | 0171-1873 |
| DOI: | 10.1007/978-3-662-08854-8 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV042414489 | ||
| 003 | DE-604 | ||
| 005 | 20150616 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150316s1988 |||| o||u| ||||||eng d | ||
| 020 | |a 9783662088548 |c Online |9 978-3-662-08854-8 | ||
| 020 | |a 9783662088562 |c Print |9 978-3-662-08856-2 | ||
| 024 | 7 | |a 10.1007/978-3-662-08854-8 |2 doi | |
| 035 | |a (OCoLC)863956232 | ||
| 035 | |a (DE-599)BVBBV042414489 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91 |a DE-83 | ||
| 082 | 0 | |a 530.15 |2 23 | |
| 084 | |a PHY 050f |2 stub | ||
| 084 | |a PHY 000 |2 stub | ||
| 084 | |a PHY 016f |2 stub | ||
| 100 | 1 | |a Binder, Kurt |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Monte Carlo Simulation in Statistical Physics |b An Introduction |c by Kurt Binder, Dieter W. Heermann |
| 264 | 1 | |a Berlin, Heidelberg |b Springer Berlin Heidelberg |c 1988 | |
| 300 | |a 1 Online-Ressource (VIII, 129 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Springer Series in Solid-State Sciences |v 80 |x 0171-1873 | |
| 500 | |a When leaming very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "reallife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects | ||
| 650 | 4 | |a Physics | |
| 650 | 4 | |a Mathematical physics | |
| 650 | 4 | |a Thermodynamics | |
| 650 | 4 | |a Mathematical Methods in Physics | |
| 650 | 4 | |a Numerical and Computational Physics | |
| 650 | 4 | |a Statistical Physics, Dynamical Systems and Complexity | |
| 650 | 4 | |a Condensed Matter Physics | |
| 650 | 4 | |a Mathematische Physik | |
| 650 | 0 | 7 | |a Statistische Physik |0 (DE-588)4057000-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Monte-Carlo-Simulation |0 (DE-588)4240945-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Statistische Physik |0 (DE-588)4057000-9 |D s |
| 689 | 0 | 1 | |a Monte-Carlo-Simulation |0 (DE-588)4240945-7 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Heermann, Dieter W. |e Sonstige |4 oth | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-662-08854-8 |x Verlag |3 Volltext |
| 912 | |a ZDB-2-PHA |a ZDB-2-BAE | ||
| 940 | 1 | |q ZDB-2-PHA_Archive | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027849982 | ||
Datensatz im Suchindex
| _version_ | 1804153080184307712 |
|---|---|
| any_adam_object | |
| author | Binder, Kurt |
| author_facet | Binder, Kurt |
| author_role | aut |
| author_sort | Binder, Kurt |
| author_variant | k b kb |
| building | Verbundindex |
| bvnumber | BV042414489 |
| classification_tum | PHY 050f PHY 000 PHY 016f |
| collection | ZDB-2-PHA ZDB-2-BAE |
| ctrlnum | (OCoLC)863956232 (DE-599)BVBBV042414489 |
| dewey-full | 530.15 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 530 - Physics |
| dewey-raw | 530.15 |
| dewey-search | 530.15 |
| dewey-sort | 3530.15 |
| dewey-tens | 530 - Physics |
| discipline | Physik |
| doi_str_mv | 10.1007/978-3-662-08854-8 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03316nmm a2200553zcb4500</leader><controlfield tag="001">BV042414489</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20150616 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150316s1988 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783662088548</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-662-08854-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783662088562</subfield><subfield code="c">Print</subfield><subfield code="9">978-3-662-08856-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-662-08854-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)863956232</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042414489</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">530.15</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHY 050f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHY 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHY 016f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Binder, Kurt</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Monte Carlo Simulation in Statistical Physics</subfield><subfield code="b">An Introduction</subfield><subfield code="c">by Kurt Binder, Dieter W. Heermann</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin, Heidelberg</subfield><subfield code="b">Springer Berlin Heidelberg</subfield><subfield code="c">1988</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (VIII, 129 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Springer Series in Solid-State Sciences</subfield><subfield code="v">80</subfield><subfield code="x">0171-1873</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">When leaming very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "reallife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Thermodynamics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical Methods in Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Numerical and Computational Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Physics, Dynamical Systems and Complexity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Condensed Matter Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematische Physik</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistische Physik</subfield><subfield code="0">(DE-588)4057000-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Monte-Carlo-Simulation</subfield><subfield code="0">(DE-588)4240945-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Statistische Physik</subfield><subfield code="0">(DE-588)4057000-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Monte-Carlo-Simulation</subfield><subfield code="0">(DE-588)4240945-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Heermann, Dieter W.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-662-08854-8</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-PHA</subfield><subfield code="a">ZDB-2-BAE</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-PHA_Archive</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027849982</subfield></datafield></record></collection> |
| id | DE-604.BV042414489 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:20:55Z |
| institution | BVB |
| isbn | 9783662088548 9783662088562 |
| issn | 0171-1873 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027849982 |
| oclc_num | 863956232 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-83 |
| owner_facet | DE-91 DE-BY-TUM DE-83 |
| physical | 1 Online-Ressource (VIII, 129 p) |
| psigel | ZDB-2-PHA ZDB-2-BAE ZDB-2-PHA_Archive |
| publishDate | 1988 |
| publishDateSearch | 1988 |
| publishDateSort | 1988 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Springer Series in Solid-State Sciences |
| spelling | Binder, Kurt Verfasser aut Monte Carlo Simulation in Statistical Physics An Introduction by Kurt Binder, Dieter W. Heermann Berlin, Heidelberg Springer Berlin Heidelberg 1988 1 Online-Ressource (VIII, 129 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Solid-State Sciences 80 0171-1873 When leaming very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "reallife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects Physics Mathematical physics Thermodynamics Mathematical Methods in Physics Numerical and Computational Physics Statistical Physics, Dynamical Systems and Complexity Condensed Matter Physics Mathematische Physik Statistische Physik (DE-588)4057000-9 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf Statistische Physik (DE-588)4057000-9 s Monte-Carlo-Simulation (DE-588)4240945-7 s DE-604 Heermann, Dieter W. Sonstige oth https://doi.org/10.1007/978-3-662-08854-8 Verlag Volltext |
| spellingShingle | Binder, Kurt Monte Carlo Simulation in Statistical Physics An Introduction Physics Mathematical physics Thermodynamics Mathematical Methods in Physics Numerical and Computational Physics Statistical Physics, Dynamical Systems and Complexity Condensed Matter Physics Mathematische Physik Statistische Physik (DE-588)4057000-9 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| subject_GND | (DE-588)4057000-9 (DE-588)4240945-7 |
| title | Monte Carlo Simulation in Statistical Physics An Introduction |
| title_auth | Monte Carlo Simulation in Statistical Physics An Introduction |
| title_exact_search | Monte Carlo Simulation in Statistical Physics An Introduction |
| title_full | Monte Carlo Simulation in Statistical Physics An Introduction by Kurt Binder, Dieter W. Heermann |
| title_fullStr | Monte Carlo Simulation in Statistical Physics An Introduction by Kurt Binder, Dieter W. Heermann |
| title_full_unstemmed | Monte Carlo Simulation in Statistical Physics An Introduction by Kurt Binder, Dieter W. Heermann |
| title_short | Monte Carlo Simulation in Statistical Physics |
| title_sort | monte carlo simulation in statistical physics an introduction |
| title_sub | An Introduction |
| topic | Physics Mathematical physics Thermodynamics Mathematical Methods in Physics Numerical and Computational Physics Statistical Physics, Dynamical Systems and Complexity Condensed Matter Physics Mathematische Physik Statistische Physik (DE-588)4057000-9 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| topic_facet | Physics Mathematical physics Thermodynamics Mathematical Methods in Physics Numerical and Computational Physics Statistical Physics, Dynamical Systems and Complexity Condensed Matter Physics Mathematische Physik Statistische Physik Monte-Carlo-Simulation |
| url | https://doi.org/10.1007/978-3-662-08854-8 |
| work_keys_str_mv | AT binderkurt montecarlosimulationinstatisticalphysicsanintroduction AT heermanndieterw montecarlosimulationinstatisticalphysicsanintroduction |