- SPARSE STRETCHING FOR SOLVING SPARSE-DENSE LINEAR LEAST-SQUARES PROBLEMS2019 | Faculty of Mathematics and Physics
- A Computational Study of Using Black-box QR Solvers for Large-scale Sparse-dense Linear Least Squares Problems2022 | Faculty of Mathematics and Physics
- A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows2018 | Faculty of Mathematics and Physics
- Preconditioned iterative methods for solving linear least squares problems2014 | Faculty of Mathematics and Physics
- Solving large linear least squares problems with linear equality constraints2022 | Faculty of Mathematics and Physics
- SOLVING MIXED SPARSE-DENSE LINEAR LEAST-SQUARES PROBLEMS BY PRECONDITIONED ITERATIVE METHODS2017 | Faculty of Mathematics and Physics
- A null-space approach for large-scale symmetric saddle point systems with a small and non zero (2, 2) block2021 | Faculty of Mathematics and Physics
- Strengths and limitations of stretching for least-squares problems with some dense rows2021 | Faculty of Mathematics and Physics
- Modified Gram-Schmidt (MGS), Least Squares, and Backward Stability of MGS-GMRES2006 | Faculty of Mathematics and Physics
- Preconditioning of linear least squares by robust incomplete factorization for implicitly held normal equations2016 | Faculty of Mathematics and Physics