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Guide to Practical Work with the Monte Carlo Method

  • Kurt BinderEmail author
  • Dieter W. Heermann
Chapter
Part of the Graduate Texts in Physics book series (GTP, volume 0)

Abstract

The guide is structured such that we proceed from the “easy” simulation methods and algorithms to the more sophisticated. For each method the algorithms are presented by the technique of stepwise refinement. We first present the idea and the basic outline. From then on we proceed by breaking up the larger logical and algorithmic structures into smaller ones, until we have reached the level of single basic statements. Sometimes we may elect not to go to such a depth and the reader is asked to fill in the gaps.

Keywords

Random Walk Ising Model Random Number Generator Importance Sampling Practical Work 
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 2010

Authors and Affiliations

  1. 1.Institut für PhysikUniversität MainzMainzGermany
  2. 2.Fakultät Physik und Astronomie, Institut für Theoretische PhysikRuprecht-Karls-Universität HeidelbergHeidelbergGermany

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