Lower bounds for predecessor searching in the cell probe model
Pranab Sen, S. Venkatesh

TL;DR
This paper establishes tight lower bounds for static predecessor searching in the cell probe model, extending previous deterministic bounds to randomized and quantum schemes using a novel round elimination approach.
Contribution
It introduces a new, simpler lower bound proof that applies to randomized and quantum query schemes, matching prior bounds and extending their applicability.
Findings
Lower bounds match those of Beame and Fich for deterministic schemes
Proof extends to randomized and quantum address-only query schemes
Develops a strong round elimination lemma for communication complexity
Abstract
We consider a fundamental problem in data structures, static predecessor searching: Given a subset S of size n from the universe [m], store S so that queries of the form "What is the predecessor of x in S?" can be answered efficiently. We study this problem in the cell probe model introduced by Yao. Recently, Beame and Fich obtained optimal bounds on the number of probes needed by any deterministic query scheme if the associated storage scheme uses only n^{O(1)} cells of word size (\log m)^{O(1)} bits. We give a new lower bound proof for this problem that matches the bounds of Beame and Fich. Our lower bound proof has the following advantages: it works for randomised query schemes too, while Beame and Fich's proof works for deterministic query schemes only. It also extends to `quantum address-only' query schemes that we define in this paper, and is simpler than Beame and Fich's proof.…
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Taxonomy
TopicsMachine Learning and Algorithms · DNA and Biological Computing · Computability, Logic, AI Algorithms
