Fast and numerically stable circle fit
Houssam Abdul-Rahman, Nikolai Chernov

TL;DR
This paper introduces a new circle fitting algorithm that is highly accurate, numerically stable, and efficient, capable of handling large circles with rapid convergence.
Contribution
The authors present a novel circle fitting method that overcomes limitations of existing techniques, achieving machine precision and stability for large circles.
Findings
Achieves ultimate accuracy to machine precision
Remains stable and avoids divergence for large circles
Converges in less than 10 iterations on average
Abstract
We develop a new algorithm for fitting circles that does not have drawbacks commonly found in existing circle fits. Our fit achieves ultimate accuracy (to machine precision), avoids divergence, and is numerically stable even when fitting circles get arbitrary large. Lastly, our algorithm takes less than 10 iterations to converge, on average.
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