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Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics

  • Kurt Binder
  • Dieter W. Heermann
Part of the Springer Series in Solid-State Sciences book series (SSSOL, volume 80)

Abstract

In this chapter we first introduce the basic concepts of Monte Carlo sampling, give some details on how Monte Carlo programs need to be organized, and then proceed to the interpretation and analysis of Monte Carlo results.

Keywords

Ising Model Thermodynamic Limit Monte Carlo Step Monte Carlo Program Percolation Transition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Kurt Binder
    • 1
  • Dieter W. Heermann
    • 2
  1. 1.Institut für PhysikJohannes Gutenberg UniversitätMainzFed. Rep. of Germany
  2. 2.Gesamthochschule WuppertalBergische UniversitätWuppertal 1Fed. Rep. of Germany

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