6533b82bfe1ef96bd128cdbd

RESEARCH PRODUCT

Guide to Practical Work with the Monte Carlo Method

Dieter W. HeermannKurt Binder

subject

Logical conjunctionComputer scienceMonte Carlo methodDynamic Monte Carlo methodIsing modelMonte Carlo method in statistical physicsRandom walkAlgorithmImportance samplingMonte Carlo molecular modeling

description

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.

yearjournalcountryeditionlanguage
2002-01-01
https://doi.org/10.1007/978-3-642-03163-2_3