Computing best discrete least-squares approximations by first-degree splines with free knots (1704.05670v1)

Published 19 Apr 2017 in math.NA

Abstract: We present an algorithm to compute best least-squares approximations of discrete real-valued functions by first-degree splines (broken lines) with free knots. We demonstrate that the algorithm delivers after a finite number of steps a (global) best approximation. The analysis is complemented by remarks on programming and by a number of numerical examples including applications from medicine (MBC, MIC).

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