An Augmented Lagrangian Method for Cardinality-Constrained Optimization Problems
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
A reformulation of cardinality-constrained optimization problems into continuous nonlinear optimization problems with an orthogonality-type constraint has gained some popularity during the last few years. Due to the special structure of the constraints, the reformulation violates many standard assumptions and therefore is often solved using specialized algorithms. In contrast to this, we investigate the viability of using a standard safeguarded multiplier penalty method without any problem-tailored modifications to solve the reformulated problem. We prove global convergence towards an (essentially strongly) stationary point under a suitable problem-tailored quasinormality constraint qualification. Numerical experiments illustrating the performance of the method in comparison to regularization-based approaches are provided.
Details
Original language | English |
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Pages (from-to) | 793-813 |
Number of pages | 21 |
Journal | Journal of Optimization Theory and Applications |
Volume | 189 |
Issue number | 3 |
Publication status | Published - Jun 2021 |
Peer-reviewed | Yes |
External IDs
Scopus | 85105445097 |
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Mendeley | dba7bd7f-0ffc-3118-9423-9f56ba675c55 |