Linear discrepancy is Π2-hard to approximate
•Linear discrepancy is shown to be Π2-hard.•The hardness holds even for approximation with any constant factor less than 9/8.•Together with a previous result of Li and Nikolov, Linear discrepancy is Π2-complete. In this note, we prove that the problem of computing the linear discrepancy of a given m...
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Veröffentlicht in: | Information processing letters 2021-12, Vol.172, p.106164, Article 106164 |
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Sprache: | eng |
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Zusammenfassung: | •Linear discrepancy is shown to be Π2-hard.•The hardness holds even for approximation with any constant factor less than 9/8.•Together with a previous result of Li and Nikolov, Linear discrepancy is Π2-complete.
In this note, we prove that the problem of computing the linear discrepancy of a given matrix is Π2-hard, even to approximate within 9/8−ϵ factor for any ϵ>0. This strengthens the NP-hardness result of Li and Nikolov [9] for the exact version of the problem, and answers a question posed by them. Furthermore, since Li and Nikolov showed that the problem is contained in Π2, our result makes linear discrepancy another natural problem that is Π2-complete (to approximate). |
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ISSN: | 0020-0190 1872-6119 |
DOI: | 10.1016/j.ipl.2021.106164 |