Abstract

Computer-simulation methods are by now an established tool in many branches of science. The motivations for computer simulations of physical systems are manifold. One of the main motivations is that one eliminates approximations. Usually, to treat a problem analytically (if it can be done at all) one needs to resort to some kind of approximation; for example, a mean-field-type approximation. With a computer simulation we have the ability to study systems not yet tractable with analytical methods. The computer simulation approach allows one to study complex systems and gain insight into their behaviour. Indeed, the complexity can go far beyond the reach of present analytic methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook
GBP 9.99
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. E. Friedberg,;J.E. Cameron;J. Chem. Phys. 52, 6049 (1970)

    ADS  Google Scholar 

  2. E.B. Smith, B.H. Wells: Mol. Phys. 52, 709 (1984)

    Article  ADS  Google Scholar 

  3. D. Fincham: Daresbury Lab. Information Quarterly for Computer Simulation of Condensed Phases 17, 43 (1985)

    Google Scholar 

  4. K. Binder, D.W. Heermann: The Monte Carlo Method in Statistical Physics,Springer Ser. Solid-State Sci., Vol. 80 ( Springer, Berlin, Heidelberg 1988 )

    Google Scholar 

  5. W.G. Hoover. Molecular Dynamics (Springer, Berlin, Heidelberg 1986 )

    Google Scholar 

  6. M.H. Kalos, P.A. Whitlock: Monte Carlo Methods,Vol.1 (Wiley, New York1986)

    Google Scholar 

  7. D. Stauffer, F.W. Hehl, V. Winkelmann,;J.G. Zabolitzky: Computational Physics (Springer, Berlin, Heidelberg 1988 )

    Google Scholar 

  8. D. Rapaport Comp. Phys. Rep. 9, 1 (1988)

    Article  Google Scholar 

  9. J.L. Lebowitz,;J.K. Percus: Phys. Rev. 124, 1673 (1961)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  10. J.L. Lebowitz,;J.K. Percus, L. Verlet Phys. Rev. 124, 1673 (1967)

    ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Heermann, D.W. (1990). Computer-Simulation Methods. In: Computer Simulation Methods in Theoretical Physics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75448-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-75448-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52210-2

  • Online ISBN: 978-3-642-75448-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Navigation