English

Preconditioned geometric iterative methods for cubic B-spline interpolation curves

Numerical Analysis 2023-04-11 v1 Numerical Analysis

Abstract

The geometric iterative method (GIM) is widely used in data interpolation/fitting, but its slow convergence affects the computational efficiency. Recently, much work was done to guarantee the acceleration of GIM in the literature. In this work, we aim to further accelerate the rate of convergence by introducing a preconditioning technique. After constructing the preconditioner, we preprocess the progressive iterative approximation (PIA) and its variants, called the preconditioned GIMs. We show that the proposed preconditioned GIMs converge and the extra computation cost brought by the preconditioning technique is negligible. Several numerical experiments are given to demonstrate that our preconditioner can accelerate the convergence rate of PIA and its variants.

Keywords

Cite

@article{arxiv.2304.04511,
  title  = {Preconditioned geometric iterative methods for cubic B-spline interpolation curves},
  author = {Chengzhi Liu and Yue Qiu and Li Zhang},
  journal= {arXiv preprint arXiv:2304.04511},
  year   = {2023}
}
R2 v1 2026-06-28T09:57:06.459Z