English

Maintaining the Union of Unit Discs under Insertions with Near-Optimal Overhead

Computational Geometry 2023-07-06 v2

Abstract

We present efficient dynamic data structures for maintaining the union of unit discs and the lower envelope of pseudo-lines in the plane. More precisely, we present three main results in this paper: (i) We present a linear-size data structure to maintain the union of a set of unit discs under insertions. It can insert a disc and update the union in O((k+1)log2n)O((k+1) \log^2 n) time, where nn is the current number of unit discs and kk is the combinatorial complexity of the structural change in the union due to the insertion of the new disc. It can also compute, within the same time bound, the area of the union after the insertion of each disc. (ii) We propose a linear-size data structure for maintaining the lower envelope of a set of xx-monotone pseudo-lines. It can handle insertion/deletion of a pseudo-line in O(log2n)O(\log^2 n) time; for a query point x0Rx_0\in\mathbb{R}, it can report, in O(logn)O(\log n) time, the point on the lower envelope with xx-coordinate x0x_0; and for a query point qR2q\in\mathbb{R}^2, it can return all kk pseudo-lines lying below qq in time O(logn+klog2n)O(\log n+k\log^2 n). (iii) We present a linear-size data structure for storing a set of circular arcs of unit radius (not necessarily on the boundary of the union of the corresponding discs), so that for a query unit disc DD, all input arcs intersecting DD can be reported in O(n1/2+ε+k)O(n^{1/2+\varepsilon} + k) time, where kk is the output size and ε>0\varepsilon > 0 is an arbitrarily small constant. A unit-circle arc can be inserted or deleted in O(log2n)O(\log^2 n) time.

Keywords

Cite

@article{arxiv.1903.10943,
  title  = {Maintaining the Union of Unit Discs under Insertions with Near-Optimal Overhead},
  author = {Pankaj K. Agarwal and Ravid Cohen and Dan Halperin and Wolfgang Mulzer},
  journal= {arXiv preprint arXiv:1903.10943},
  year   = {2023}
}

Comments

29 pages, 19 figures; this article is an extension of our previous work arXiv:1902.09565; a preliminary version appeared at SoCG 2019