Estimates of for each problem instance.

<div><p>As observed in the case of COVID-19, effective vaccines for an emerging pandemic tend to be in limited supply initially and must be allocated strategically. The allocation of vaccines can be modeled as a discrete optimization problem that prior research has shown to be computatio...

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Bibliographic Details
Main Author:	Jeffrey Keithley (14626551) (author)
Other Authors:	Akash Choudhuri (21755952) (author), Bijaya Adhikari (7388303) (author), Sriram V. Pemmaraju (11099290) (author)
Published:	2025
Subjects:	Neuroscience Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified solve even approximately limited supply initially hardness result may emerging pandemic tend arbitrary travel patterns 2 million ), 03 million ). three problem instances problem instance compares discrete optimization problem known greedy algorithms function value increases e ., np div >< p submodularity ratio </ vaccine allocation problem e ., submodularity ratio vaccine bundles g </ submodularity refers subpopulation level prior research objective function new hampshire metapopulation model lattice functions function inputs different scales computationally difficult budget constraint approximation factor algorithms depends algorithmic output 99 counties 254 counties 10 counties
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Estimates of for each problem instance.

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