Range tree
From Wikipedia, the free encyclopedia
In computer science, a range tree is an ordered tree data structure to hold a list of points. It allows all points within a given range to be efficiently retrieved, and is typically used in two or higher dimensions.
It is similar to a kd-tree except with faster query times of O(logd n + k) but worse storage of O(n log(d-1) n), with d being the dimension of the space, n being the number of points in the tree, and k being the number of points retrieved for a given query.
Range trees may be contrasted with interval trees: instead of storing points and allowing points in a given range to be retrieved efficiently, an interval tree stores intervals and allows the intervals containing a given point to be retrieved efficiently.
[edit] External links
- Range and Segment Trees in CGAL, the Computational Geometry Algorithms Library.
[edit] References
- Mark de Berg, Marc van Kreveld, Mark Overmars, and Otfried Schwarzkopf. Computational Geometry, Second Revised Edition. Springer-Verlag 2000. Section 5.3: Range Trees, pp.105-110.
- David M. Mount. Lecture Notes: CMSC 754 Computational Geometry. Lecture 23: Orthogonal Range Trees, pp. 102-104.
|
||||||||||||||||||||||||||
| This algorithms or data structures-related article is a stub. You can help Wikipedia by expanding it. |