Numerical Reparametrization of Rational Parametric Plane Curves
Sonia Perez-Diaz, Li-Yong Shen

TL;DR
This paper introduces a numerical algorithm for reparametrizing algebraic plane curves with approximate data, ensuring the new parametrization closely matches the original curve within a specified tolerance.
Contribution
It provides a novel numerical method for reparametrizing rational plane curves with error bounds, handling approximate input data.
Findings
Algorithm computes an $\e$-proper reparametrization of the curve.
Error bounds are explicitly formulated and analyzed.
The method effectively manages perturbed float coefficients in parametrizations.
Abstract
In this paper, we present an algorithm for reparametrizing algebraic plane curves from a numerical point of view. That is, we deal with mathematical objects that are assumed to be given approximately. More precisely, given a tolerance and a rational parametrization with perturbed float coefficients of a plane curve , we present an algorithm that computes a parametrization of a new plane curve such that is an {\it --proper reparametrization} of . In addition, the error bound is carefully discussed and we present a formula that measures the "closeness" between the input curve and the output curve .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
