The Cell Probe Complexity of Dynamic Range Counting
Kasper Green Larsen

TL;DR
This paper introduces a novel technique for establishing lower bounds on the update and query times of dynamic data structures in the cell probe model, proving the highest known lower bounds for weighted orthogonal range counting.
Contribution
It presents a new method for proving lower bounds and applies it to establish the highest cell probe lower bounds for dynamic range counting problems.
Findings
Proves a lower bound of a((\u221f n/\u03bclog(wt_u))^2) for query time.
Establishes a lower bound of a((\u221f n/b\u221f \u03bclog n)^2) in the natural cell size setting.
Lower bound is tight for data structures with update time a(b\u221f \u03bclog^{2+\u03b5} n).
Abstract
In this paper we develop a new technique for proving lower bounds on the update time and query time of dynamic data structures in the cell probe model. With this technique, we prove the highest lower bound to date for any explicit problem, namely a lower bound of . Here is the number of update operations, the cell size, the query time and the update time. In the most natural setting of cell size , this gives a lower bound of for any polylogarithmic update time. This bound is almost a quadratic improvement over the highest previous lower bound of , due to P\v{a}tra\c{s}cu and Demaine [SICOMP'06]. We prove the lower bound for the fundamental problem of weighted orthogonal range counting. In this problem, we are to support insertions of two-dimensional points, each…
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Taxonomy
TopicsError Correcting Code Techniques · Algorithms and Data Compression · DNA and Biological Computing
