Two Algorithms for Deciding Coincidence In Double Temporal Recurrence of Eventuality Sequences
Babatunde Opeoluwa Akinkunmi, Adesoji A. Adegbola

TL;DR
This paper introduces two algorithms to determine if two recurring sequences of events share a common subinterval, with one algorithm optimized for efficiency using gcd-partitions, applicable in temporal reasoning.
Contribution
The paper presents a novel linear-time algorithm based on gcd-partitions for detecting coincidences in double recurrence of event sequences, improving over the quadratic approach.
Findings
The gcd-partition algorithm has linear worst-case complexity.
A coincidence exists if specific gcd-partition pairs share common subintervals.
The algorithms effectively identify shared subintervals in recurring event sequences.
Abstract
Let two sequences of eventualities x (signifying the sequence, x0,x1, x2,...,xn-1) and y (signifying the sequence, y0, y1, y2,..,yn-1) both recur over the same time interval and it is required to determine whether or not a subinterval exists within the said interval which is a common subinterval of the intervals of occurrence of xp and yq. This paper presents two algorithms for solving the problem. the first explores an arbitrary cycle of the double recurrence for the existence of such an interval. its worst case running time is quadratic. The other algorithm is based on the novel notion of gcd-partitions and has a linear worst case running time. If the eventuality sequence pair (W,z) is a gcd-partition for the double recurrence (x, y),then, from a certain property of gcd-partitions, within any cycle of the double recurrence, there exists r and s such that intervals of occurrence of xp…
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Taxonomy
TopicsAlgorithms and Data Compression · Genome Rearrangement Algorithms · Optimization and Packing Problems
