Title of article :
Effciently computing the smallest axis-parallel squares spanning all colors
Author/Authors :
Khanteimouria, P. Department of Mathematics and Computer Science - Amirkabir University of Technology, Tehran, Iran , Mohadesa, A. Department of Mathematics and Computer Science - Amirkabir University of Technology, Tehran, Iran , Kazemia, M.R. Department of Mathematics and Computer Science - Amirkabir University of Technology, Tehran, Iran , Abam, M.A. Sharif University of Technology Tehran, Iran , Sedighin, S. University of Maryland - College Park, Maryland, USA
Pages :
10
From page :
1325
To page :
1334
Abstract :
For a set of colored points, a region is called color-spanning if it contains at least one point of each color. In this paper, we rst consider the problem of maintaining the smallest color-spanning interval for a set of n points with k colors on the real line, such that the insertion and deletion of an arbitrary point takes O(log2 n) the worst-case time. Then, we exploit the data structure to show that there is O(n log2 n) time algorithm to compute the smallest color-spanning square for a set of n points with k colors in the plane. This is a new way to improve O(nk log n) time algorithm presented by Abellanas et al. [1] when k = (log2 n). We also consider the problem of computing the smallest color-spanning square in a special case in which we have, at most, two points from each color. We present O(n log n) time algorithm to solve the problem which improves the result presented by Arkin et al. [2] by a factor of log n.
Keywords :
Algorithm , Location planning , Dynamic data structure , Color-spanning objects
Journal title :
Astroparticle Physics
Serial Year :
2017
Record number :
2461533
Link To Document :
بازگشت