Range quantile queries: Another virtue of wavelet trees

66Citations
Citations of this article
21Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We show how to use a balanced wavelet tree as a data structure that stores a list of numbers and supports efficient range quantile queries. A range quantile query takes a rank and the endpoints of a sublist and returns the number with that rank in that sublist. For example, if the rank is half the sublist's length, then the query returns the sublist's median. We also show how these queries can be used to support space-efficient coloured range reporting and document listing. © 2009 Springer.

Cite

CITATION STYLE

APA

Gagie, T., Puglisi, S. J., & Turpin, A. (2009). Range quantile queries: Another virtue of wavelet trees. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5721 LNCS, pp. 1–6). https://doi.org/10.1007/978-3-642-03784-9_1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free