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http://arxiv.org/pdf/2005.1179...
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arXiv.org e-Print Archive
Preprint . 2020
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https://doi.org/10.23919/acc45...
Article . 2020 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2020
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Global Sensitivity Analysis for the Linear Assignment Problem

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jul 2020Embargo end date: 01 Jan 2020Publisher:IEEEJournal:2020 American Control Conference (ACC)
Authors: Tony A. Wood; Elad Michael; Iman Shames; Chris Manzie;

doi: 10.23919/acc45564.2020.9147216 , 10.48550/arxiv.2005.11792

arXiv: http://arxiv.org/abs/2005.11792

Global Sensitivity Analysis for the Linear Assignment Problem

Abstract

In this paper, the following question is addressed: given a linear assignment problem, how much can the all of the individual assignment weights be perturbed without changing the optimal assignment? The extension of results involving perturbations in just one edge or one row/column are presented. Algorithms for the derivation of these bounds are provided. We also show how these bounds may be used to prevent assignment churning in a multi-vehicle guidance scenario.

6 pages, 1 figure, accepted in the American Control Conference,

Related Organizations
Keywords

Optimization and Control (math.OC), FOS: Mathematics, 90B80 (Primary) 93B35 (Secondary), Mathematics - Optimization and Control

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green