Efficient computation of minimum-area rectilinear convex hull under rotation and generalizations
Abstract
Let be a set of points in the plane. We compute the value of for which the rectilinear convex hull of , denoted by , has minimum (or maximum) area in optimal time and space, improving the previous bound. Let be a set of lines through the origin sorted by slope and let be the sizes of the angles defined by pairs of two consecutive lines, . Let and . We obtain: (1) Given a set such that , we provide an algorithm to compute the -convex hull of in optimal time and space; If , the time and space complexities are and respectively. (2) Given a set such that , we compute and maintain the boundary of the -convex hull of for in time and space, or if , in time and space. (3) Finally, given a set such that , we compute, in time and space, the angle such that the -convex hull of has minimum (or maximum) area over all .
Keywords
Cite
@article{arxiv.1710.10888,
title = {Efficient computation of minimum-area rectilinear convex hull under rotation and generalizations},
author = {Carlos Alegría-Galicia and David Orden and Carlos Seara and Jorge Urrutia},
journal= {arXiv preprint arXiv:1710.10888},
year = {2025}
}
Comments
28 pages, 23 figures. Accepted version