Abstract
The diameter of a set P of n points in ℝ d is the maximum Euclidean distance between any two points in P. If P is the vertex set of a 3-dimensional convex polytope, and if the combinatorial structure of this polytope is given, we prove that, in the worst case, deciding whether the diameter of P is smaller than 1 requires Ω(nlog∈n) time in the algebraic computation tree model. It shows that the O(nlog∈n) time algorithm of Ramos for computing the diameter of a point set in ℝ 3 is optimal for computing the diameter of a 3-polytope. We also give a linear time reduction from Hopcroft's problem of finding an incidence between points and lines in ℝ 2 to the diameter problem for a point set in ℝ 7.
Original language | English (US) |
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Pages (from-to) | 245-257 |
Number of pages | 13 |
Journal | Algorithmica (New York) |
Volume | 49 |
Issue number | 3 |
DOIs | |
State | Published - Nov 2007 |
Externally published | Yes |
Keywords
- Computational geometry
- Convex polytope
- Diameter
- Hopcroft's problem
- Lower bound
ASJC Scopus subject areas
- General Computer Science
- Computer Science Applications
- Applied Mathematics