Tight Cell-Probe Bounds for Online Hamming Distance Computation
Raphael Clifford, Markus Jalsenius, Benjamin Sach

TL;DR
This paper establishes tight lower bounds for online Hamming distance computation in the cell-probe model, demonstrating the fundamental complexity limits of the problem with respect to input size and word length.
Contribution
It provides the first tight bounds for online Hamming distance computation in the cell-probe model, matching upper bounds and confirming the problem's inherent complexity.
Findings
Lower bound of Omega((d/w)*log n) per output
Bound holds under randomization and amortization
Bound is tight within the cell-probe model
Abstract
We show tight bounds for online Hamming distance computation in the cell-probe model with word size w. The task is to output the Hamming distance between a fixed string of length n and the last n symbols of a stream. We give a lower bound of Omega((d/w)*log n) time on average per output, where d is the number of bits needed to represent an input symbol. We argue that this bound is tight within the model. The lower bound holds under randomisation and amortisation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAlgorithms and Data Compression · Machine Learning and Algorithms · Ferroelectric and Negative Capacitance Devices
