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A guide to Monte Carlo simulations i...

Binder, K. (1944-)

A guide to Monte Carlo simulations in statistical physics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	530.13
書名/作者:	A guide to Monte Carlo simulations in statistical physics // David P. Landau, Kurt Binder.
作者:	Landau, David P.,
其他作者:	Binder, K.
面頁冊數:	1 online resource (xv, 432 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Monte Carlo method
標題:	Statistical physics
ISBN:	9780511614460 (ebook)
摘要、提要註:	This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.
電子資源:	http://dx.doi.org/10.1017/CBO9780511614460

A guide to Monte Carlo simulations in statistical physics /
Landau, David P.,

A guide to Monte Carlo simulations in statistical physics /David P. Landau, Kurt Binder. - Second edition. - 1 online resource (xv, 432 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.

ISBN: 9780511614460 (ebook)Subjects--Topical Terms:

230365
Monte Carlo method

LC Class. No.: QC174.85.M64 / L36 2005

Dewey Class. No.: 530.13

A guide to Monte Carlo simulations in statistical physics /
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.
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