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

By: Contributor(s): Material type: TextTextPublication details: Cambridge, UK ; New York : Cambridge University Press, 2005.Edition: 2nd edDescription: 1 online resource (xv, 432 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0511130988
  • 9780511130984
  • 0511129459
  • 9780511129452
  • 051112838X
  • 9780511128387
  • 9780521842389
  • 0521842387
Subject(s): Genre/Form: Additional physical formats: Print version:: Guide to Monte Carlo simulations in statistical physics.DDC classification:
  • 530.13 22
LOC classification:
  • QC174.85.M64 L36 2005eb
Other classification:
  • 33.26
  • O242. 2
Online resources:
Contents:
Introduction -- Some necessary background -- Simple sampling Monte Carlo methods -- Importance sampling Monte Carlo methods -- More on importance sampling Monte Carlo methods for lattice systems -- Off-lattice models -- Reweighting methods -- Quantum Monte Carlo methods -- Monte Carlo Renormalization Group methods -- Non-equilibrium and irreversible processes -- Lattice gauge models: a brief introduction -- A brief review of other methods of computer simulation -- Monte Carlo methods outside of physics -- Outlook.
Summary: This updated edition deals with the Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. It contains many applications, examples, and exercises to help the reader. It is an excellent guide for graduate students and researchers who use computer simulations in their research.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Science Available
Total holds: 0

Previous edition: 2000.

Includes bibliographical references and index.

Print version record.

Introduction -- Some necessary background -- Simple sampling Monte Carlo methods -- Importance sampling Monte Carlo methods -- More on importance sampling Monte Carlo methods for lattice systems -- Off-lattice models -- Reweighting methods -- Quantum Monte Carlo methods -- Monte Carlo Renormalization Group methods -- Non-equilibrium and irreversible processes -- Lattice gauge models: a brief introduction -- A brief review of other methods of computer simulation -- Monte Carlo methods outside of physics -- Outlook.

This updated edition deals with the Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. It contains many applications, examples, and exercises to help the reader. It is an excellent guide for graduate students and researchers who use computer simulations in their research.

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