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- W3123754946 abstract "Our contribution is twofold. Firstly, for a system of uncertain linear equations where the uncertainties are column-wise and reside in general convex sets, we derive convex representations for united and tolerable solution sets. Secondly, to obtain centered solutions for uncertain linear equations, we develop a new method based on adjustable robust optimization (ARO) techniques to compute the maximum size inscribed convex body (MCB) of the set of the solutions. In general, the obtained MCB is an inner approximation of the solution set, and its center is a potential solution to the system. We use recent results from ARO to characterize for which convex bodies the obtained MCB is optimal. We compare our method both theoretically and numerically with an existing method that minimizes the worst-case violation. Applications to the input–output model, Colley’s Matrix Rankings and Article Influence Scores demonstrate the advantages of the new method." @default.
- W3123754946 created "2021-02-01" @default.
- W3123754946 creator A5029123069 @default.
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- W3123754946 date "2017-10-01" @default.
- W3123754946 modified "2023-09-25" @default.
- W3123754946 title "Centered solutions for uncertain linear equations" @default.
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- W3123754946 doi "https://doi.org/10.1007/s10287-017-0290-9" @default.
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