Classes
Publications
- A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows2018 | Faculty of Mathematics and Physics
- Improving the stability and robustness of incomplete symmetric indefinite factorization preconditioners2017 | Faculty of Mathematics and Physics
- SOLVING MIXED SPARSE-DENSE LINEAR LEAST-SQUARES PROBLEMS BY PRECONDITIONED ITERATIVE METHODS2017 | Faculty of Mathematics and Physics
- FACTORIZED APPROXIMATE INVERSES WITH ADAPTIVE DROPPING2016 | Faculty of Mathematics and Physics
- Preconditioning of linear least squares by robust incomplete factorization for implicitly held normal equations2016 | Faculty of Mathematics and Physics
- Preconditioned iterative methods for solving linear least squares problems2014 | Faculty of Mathematics and Physics
- Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering2023 | Faculty of Mathematics and Physics
- Algorithms for sparse linear systems2023 | 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
- Solving large linear least squares problems with linear equality constraints2022 | Faculty of Mathematics and Physics
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