@inproceedings{55c656832f2248ba900c33a67949ab4b,
title = "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.",
author = "Elad Michael and Wood, {Tony A.} and Chris Manzie and Iman Shames",
note = "Publisher Copyright: {\textcopyright} 2020 AACC.; 2020 American Control Conference, ACC 2020 ; Conference date: 01-07-2020 Through 03-07-2020",
year = "2020",
month = jul,
doi = "10.23919/ACC45564.2020.9147216",
language = "English",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3387--3392",
booktitle = "2020 American Control Conference, ACC 2020",
address = "United States",
}