Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization
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Publication:6336882
arXiv2003.07555MaRDI QIDQ6336882
Author name not available (Why is that?)
Publication date: 17 March 2020
Abstract: In this letter we propose a method for sparse allocation of resources to control spreading processes -- such as epidemics and wildfires -- using convex optimization, in particular exponential cone programming. Sparsity of allocation has advantages in situations where resources cannot easily be distributed over a large area. In addition, we introduce a model of risk to optimize the product of the likelihood and the future impact of an outbreak. We demonstrate with a simplified wildfire example that our method can provide more targeted resource allocation compared to previous approaches based on geometric programming.
Has companion code repository: https://github.com/imanchester/SpreadingProcesses
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