Mean Field Annealing is a technique used in statistical mechanics, optimization, and machine learning, particularly in the context of spin systems and combinatorial optimization problems. It combines concepts from mean field theory and simulated annealing. ### Key Concepts: 1. **Mean Field Theory**: This is a statistical approach used to analyze complex systems by approximating all interactions with an average field, rather than considering individual interactions between particles or variables.
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