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On optimal low-rank approximation of non-negative matrices

Grussler, C and Rantzer, A (2015) On optimal low-rank approximation of non-negative matrices. In: UNSPECIFIED pp. 5278-5283..

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For low-rank Frobenius-norm approximations of matrices with non-negative entries, it is shown that the Lagrange dual is computable by semi-definite programming. Under certain assumptions the duality gap is zero. Even when the duality gap is non-zero, several new insights are provided.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 13 Nov 2018 01:53
Last Modified: 02 Sep 2021 04:37
DOI: 10.1109/CDC.2015.7403045