The Monte Carlo method is a computational technique that relies on random sampling to obtain numerical results. In the context of statistical mechanics, it is used to study and simulate the behavior of physical systems at a statistical level, particularly when dealing with large systems that are difficult to analyze analytically. ### Key Features of the Monte Carlo Method in Statistical Mechanics: 1. **Sampling of Configurations**: The method involves generating a large number of random configurations of a system (e.g.
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