| An alternating method for cardinality-constrained optimization: A computational study for the best subset selection and sparse portfolio problems C Moreira Costa, D Kreber, M Schmidt INFORMS Journal on Computing 34 (6), 2968-2988, 2022 | 8 | 2022 |
| Decomposition Methods for Robustified k-Means Clustering Problems: If Less Conservative Does Not Mean Less Bad JP Burgard, CM Costa, M Schmidt Tech. rep. 2020. url: http://www. optimization-online. org/DB_HTML/2020/05 …, 2020 | 8 | 2020 |
| A subspace version of the Wang–Yuan Augmented Lagrangian-Trust Region method for equality constrained optimization CM Costa, GN Grapiglia Applied Mathematics and Computation 387, 124861, 2020 | 2 | 2020 |
| Mixed-integer programming techniques for the minimum sum-of-squares clustering problem JP Burgard, C Moreira Costa, C Hojny, T Kleinert, M Schmidt Journal of Global Optimization 87 (1), 133-189, 2023 | | 2023 |
| Robustification of the k-means clustering problem and tailored decomposition methods: when more conservative means more accurate JP Burgard, C Moreira Costa, M Schmidt Annals of Operations Research, 1-44, 2022 | | 2022 |
| Computational Techniques for Minimum Sum-of-Squares Clustering, Cardinality-Constrained Optimization, and Robust Clustering Problems C Moreira Costa | | 2022 |
| Computational Techniques for Minimum Sum-of-Squares Clustering, Cardinality-Constrained Optimization, and Robust Clustering Problems CM Costa Trier University, 2022 | | 2022 |
Martin SchmidtTrier University - Department of MathematicsVerified email at uni-trier.de
