Searching Monotone Multi-dimensional Arrays
Yongxi Cheng, Xiaoming Sun, Yiqun Lisa Yin

TL;DR
This paper extends the search algorithm for monotone multi-dimensional arrays from 3D to higher dimensions, providing an asymptotically optimal solution for 4D arrays, advancing the understanding of efficient search in high-dimensional data structures.
Contribution
It generalizes the existing 3D search algorithm to d-dimensions for d≥4 and establishes asymptotic optimality for 4D arrays.
Findings
Extended the search algorithm to d-dimensional arrays for d≥4
Proved asymptotic optimality of the new algorithm for 4D arrays
Enhanced understanding of high-dimensional monotone array search complexity
Abstract
In this paper we investigate the problem of searching monotone multi-dimensional arrays. We generalize Linial and Saks' search algorithm \cite{LS1} for monotone 3-dimensional arrays to -dimensions with . Our new search algorithm is asymptotically optimal for .
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
TopicsCellular Automata and Applications · Algorithms and Data Compression · Evolutionary Algorithms and Applications
