In many embedded systems design applications, line-fitting techniques, particularly minimax algorithms, are used instead of the more well-known regression methods to "fit" noisy data. More often than not, minimax fitting is preferred to regression when the goal is to find a fitting line with minimum tolerance, such as some automatic control applications.
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