On the complexity of curve fitting algorithms

Computer Science – Computational Complexity

Scientific paper

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8 pages, no figures

Scientific paper

10.1016/j.jco.2004.01.004

We study a popular algorithm for fitting polynomial curves to scattered data
based on the least squares with gradient weights. We show that sometimes this
algorithm admits a substantial reduction of complexity, and, furthermore, find
precise conditions under which this is possible. It turns out that this is,
indeed, possible when one fits circles but not ellipses or hyperbolas.

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