Computer Science – Data Structures and Algorithms
Scientific paper
2009-04-29
Computer Science
Data Structures and Algorithms
Expanded version of a paper that appeared in WADS 2007
Scientific paper
This paper studies a discrepancy-sensitive approach to dynamic fractional cascading. We provide an efficient data structure for dominated maxima searching in a dynamic set of points in the plane, which in turn leads to an efficient dynamic data structure that can answer queries for nearest neighbors using any Minkowski metric. We provide an efficient data structure for dominated maxima searching in a dynamic set of points in the plane, which in turn leads to an efficient dynamic data structure that can answer queries for nearest neighbors using any Minkowski metric.
Atallah Mikhail J.
Blanton Marina
Goodrich Michael T.
Polu Stanislas
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