Title :
Orthogonal Range Reporting in Three and Higher Dimensions
Author :
Afshani, Peyman ; Arge, Lars ; Larsen, Kasper Dalgaard
Author_Institution :
Dept. of Comput. Sci., Aarhus Univ., Aarhus, Denmark
Abstract :
In orthogonal range reporting we are to preprocess N points in d-dimensional space so that the points inside a d-dimensional axis-aligned query box can be reported efficiently. This is a fundamental problem in various fields, including spatial databases and computational geometry. In this paper we provide a number of improvements for three and higher dimensional orthogonal range reporting: In the pointer machine model, we improve all the best previous results, some of which have not seen any improvements in almost two decades. In the I/O-model, we improve the previously known three-dimensional structures and provide the first (non-trivial) structures for four and higher dimensions.
Keywords :
computational complexity; computational geometry; data structures; query processing; visual databases; computational geometry; d-dimensional axis-aligned query box; dimensional orthogonal range reporting; pointer machine model; spatial databases; Binary search trees; Computational geometry; Computational modeling; Computer science; Councils; Data structures; Random access memory; Read-write memory; Solid modeling; Spatial databases; computational geometry; data structures; external memory; orthogonal range searching;
Conference_Titel :
Foundations of Computer Science, 2009. FOCS '09. 50th Annual IEEE Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-5116-6
DOI :
10.1109/FOCS.2009.58