Exact penalization for cardinality and rank-constrained optimization problems via partial regularization

Zhaosong Lu, Xiaorui Li, Shuhuang Xiang

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we consider a class of constrained optimization problems whose constraints involve a cardinality or rank constraint. The penalty formulation based on a partial regularization has recently been promoted in the literature to approximate these problems, which usually outperforms the penalty formulation based on a full regularization in terms of solution quality. Nevertheless, the relation between the penalty formulation with a partial regularizer and the original problem was not much studied yet. Under some suitable assumptions, we show that the penalty formulation based on a partial regularization is an exact reformulation of the original problem in the sense that they both share the same global minimizers. We also show that a local minimizer of the original problem is that of the penalty reformulation. These results provide some theoretical justification for the often-observed superior performance of the penalty model based on a partial regularizer over a corresponding full regularizer.

Original languageEnglish (US)
Pages (from-to)412-433
Number of pages22
JournalOptimization Methods and Software
Volume38
Issue number2
DOIs
StatePublished - 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • 65C60
  • 65K05
  • 90C26
  • 90C30
  • Sparse optimization
  • cardinality constraint
  • exact penalty
  • low-rank optimization
  • partial regularization
  • rank constraint

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