An O(n) algorithm for least squares quasi-convex approximation

This article is concerned with the approximation problem of fitting n data points by a quasi-convex function using the least squares distance function. An algorithm of O(n) worst-case time complexity for computing a best fit is developed. This problem arises in the context of curve fitting or statistical estimation.

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