Centered solutions for uncertain linear equations

Jianzhe Zhen, Dick den Hertog

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)
152 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)585-610
JournalComputational Management Science
Issue number4
Publication statusPublished - Oct 2017


  • interval linear systems
  • Uncertain linear equations
  • (Adjustable)Robust optimization
  • Maximum volume inscribed ellipsoid
  • Robust least-squares


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