Distributed Design for Nuclear Norm Minimization of Linear Matrix Equations with Constraints

Weijian Li, Xianlin Zeng, Yiguang Hong*, Haibo Ji

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

This article aims at a distributed design to minimize the nuclear norm (the sum of all singular values) under linear equality constraints over a multiagent network. The problem is reformulated as a distributed trace norm minimization problem by introducing substitutional variables. A distributed projected primal-dual algorithm is proposed for the reformulation. It is shown that the algorithm converges to an optimal solution with a rate of \mathcal O(1/t). Numerical simulations on three classical problems, including linear matrix equality constraints, cardinality minimization, and low-rank matrix completion, are carried out for illustration.

Original languageEnglish
Article number9042312
Pages (from-to)745-752
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume66
Issue number2
DOIs
Publication statusPublished - Feb 2021

Keywords

  • Distributed matrix computation
  • distributed optimization
  • linear equality constraints
  • nuclear norm minimization

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