Note: On finding a large number of 3D points with a small diameter

  • Authors:
  • Minghui Jiang

  • Affiliations:
  • Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA

  • Venue:
  • Discrete Applied Mathematics
  • Year:
  • 2007

Quantified Score

Hi-index 0.04

Visualization

Abstract

Given a set S of n points in R^3, we wish to decide whether S has a subset of size at least k with Euclidean diameter at most r. It is unknown whether this decision problem is NP-hard. The two closely related optimization problems, (i) finding a largest subset of diameter at most r, and (ii) finding a subset of the smallest diameter of size at least k, were recently considered by Afshani and Chan. For maximizing the size, they presented several polynomial-time algorithms with constant approximation factors, the best of which has a factor of @p/arccos13