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Scheduling to reduce close contacts: resolvable grid graph decomposition and packing
Journal article   Peer reviewed

Scheduling to reduce close contacts: resolvable grid graph decomposition and packing

Yeow Meng Chee, Alan Chi Hung Ling, Van Khu Vu and Hui Zhang
Designs, codes, and cryptography, Vol.91(12), pp.4093-4106
01/12/2023

Abstract

Computer Science Computer Science, Theory & Methods Mathematics Mathematics, Applied Physical Sciences Science & Technology Technology
Motivated by the COVID-19 pandemic, we consider the scheduling of seating arrangement for an event that is divided into sessions, aiming at reducing the number of close contacts of participants, while the physical and temporal distancing rules are taken into consideration simultaneously. In this paper, we formalize the requirements as a resolvable graph decomposition or packing problem, and focus on the grid graphs defined over vertices that are arranged into arrays embedded in the Euclidean space. We provide explicit constructions of such arrangement, and particularly for those that reach or asymptotically reach the largest possible number of sessions.

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