Soft kinetic data structures
Document Type
Conference Proceeding
Publication Date
12-1-2001
Abstract
We introduce the framework of soft kinetic data structures (SKDS). A soft kinetic data structure is an approximate data structure that can be used to answer guéries on a set of moving objects with unpredictable motion. We analyze the guality of a soft kinetic data structure by giving a competitive analysis with respect to the dynamics of the system. We illustrate our approach by presenting soft kinetic data structures for maintaining classical data structures: sorted arrays, balanced search trees, heaps, and range trees. We also describe soft kinetic data structures for maintaining the Euclidean minimum spanning trees. Copyright © 2009 ACM, Inc.
Identifier
64049112220 (Scopus)
ISBN
[0898714907]
Publication Title
Proceedings of the Annual ACM SIAM Symposium on Discrete Algorithms
First Page
865
Last Page
872
Recommended Citation
Czumaj, Artur and Sohler, Christian, "Soft kinetic data structures" (2001). Faculty Publications. 15056.
https://digitalcommons.njit.edu/fac_pubs/15056
