The Minimax approximation algorithm is commonly associated with minimizing the maximum possible error in approximation problems, particularly in the context of function approximation and game theory. ### Key Concepts: 1. **Minimax Principle**: The core idea behind the Minimax principle is to minimize the maximum error. In a game-theoretic context, this means that a player tries to minimize the maximum possible loss while anticipating the opponent's strategy.
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