Weighted Least-Squares for a Nearly Perfect Min-Max Fit

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DOI: 10.4236/am.2017.85051    1,429 Downloads   2,575 Views  Citations
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ABSTRACT

In this note, we experimentally demonstrate, on a variety of analytic and nonanalytic functions, the novel observation that if the least squares polynomial approximation is repeated as weight in a second, now weighted, least squares approximation, then this new, second, approximation is nearly perfect in the uniform sense, barely needing any further, say, Remez correction.

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Fried, I. and Feng, Y. (2017) Weighted Least-Squares for a Nearly Perfect Min-Max Fit. Applied Mathematics, 8, 645-654. doi: 10.4236/am.2017.85051.

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