Using the concept of finite-size scaling, Monte Carlo calculations of vario
us models have become a very useful tool for the study of critical phenomen
a, with the system linear dimension as a variable. As an example, several r
ecent studies of Ising models are discussed, as well as the extension to mo
dels of polymer mixtures and solutions. It is shown that using appropriate
cluster algorithms. even the scaling functions describing the crossover fro
m the Ising universality class to the mean-field behavior with increasing i
nteraction range can be described. Additionally, the issue of finite-size s
caling in Ising models above the marginal dimension (d* = 4) is discussed.
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