6533b7d5fe1ef96bd1264715

RESEARCH PRODUCT

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

Dieter W. HeermannKurt Binder

subject

Computer scienceMonte Carlo methodThermodynamic limitPeriodic boundary conditionsMonte Carlo method in statistical physicsIsing modelStatistical physicsImportance samplingMonte Carlo molecular modelingInterpretation (model theory)

description

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.

https://doi.org/10.1007/978-3-662-04685-2_2