Chebyshev approximation refers to a mathematical method that seeks to find the best polynomial approximation of a continuous function by minimizing the maximum error (or deviation) between the function and the approximating polynomial. This technique is significant because it provides a way to achieve high accuracy with fewer polynomial terms, especially useful in various applications such as signal and image processing. The method is connected to the Remez algorithm, which efficiently determines the coefficients of these polynomials to ensure that the Chebyshev error criterion is met.
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