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Table of contents

  1. Front Matter
  2. Werner Krauth
    Pages 1-35
  3. Ferenc Niedermayer
    Pages 36-49
  4. Enzo Marinari
    Pages 50-81
  5. Dietrich Stauffer
    Pages 82-87
  6. Henrik Flyvbjerg
    Pages 88-103
  7. Dietrich E. Wolf
    Pages 104-121
  8. Hans Herrmann
    Pages 159-166

About these proceedings

Introduction

Computer simulation has become a basic tool in many branches of physics such as statistical physics, particle physics, or materials science. The application of efficient algorithms is at least as important as good hardware in large-scale computation. This volume contains didactic lectures on such techniques based on physical insight. The emphasis is on Monte Carlo methods (introduction, cluster algorithms, reweighting and multihistogram techniques, umbrella sampling), efficient data analysis and optimization methods, but aspects of supercomputing, the solution of stochastic differential equations, and molecular dynamics are also discussed. The book addresses graduate students and researchers in theoretical and computational physics.

Keywords

Monte Carlo Monte Carlo methods Simulation computer simulation molecular dynamics optimization stochastic differential equations

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0105456
  • Copyright Information Springer-Verlag 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-63942-8
  • Online ISBN 978-3-540-69675-9
  • Series Print ISSN 0075-8450
  • Series Online ISSN 1616-6361
  • Buy this book on publisher's site
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