イジングモデルのモンテカルロシミュレーション

概要

論文の詳細を見る
The Monte Carlo simulational study of the Ising model is explained. The Ising model is the most elementary subject in the statistical physics, and its simulational study is a typical computing science. Many new problems of the computing science have been appearing firstly in this Ising problems because the most intensive simulation and the most extensive study have made for them. Some recent remarkable results in the simulational methods come from the Ising Monte Carlo, in which many computing researchers studying other problems will be interested, are introduced. The statistical-dependence analysis provides a new and a very practical method to study the correlation in a temporal data. The recycle method gives an efficient way to generate and use the random number.
日本応用数理学会の論文
1996-09-17