Předměty
Publikace
- A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows2018 | Matematicko-fyzikální fakulta
- Improving the stability and robustness of incomplete symmetric indefinite factorization preconditioners2017 | Matematicko-fyzikální fakulta
- FACTORIZED APPROXIMATE INVERSES WITH ADAPTIVE DROPPING2016 | Matematicko-fyzikální fakulta
- Preconditioning of linear least squares by robust incomplete factorization for implicitly held normal equations2016 | Matematicko-fyzikální fakulta
- Preconditioned iterative methods for solving linear least squares problems2014 | Matematicko-fyzikální fakulta
- On signed incomplete Cholesky factorization preconditioners for saddle-point systems2014 | Matematicko-fyzikální fakulta
- Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering2023 | Matematicko-fyzikální fakulta
- Algorithms for sparse linear systems2023 | Matematicko-fyzikální fakulta
- A Computational Study of Using Black-box QR Solvers for Large-scale Sparse-dense Linear Least Squares Problems2022 | Matematicko-fyzikální fakulta
- Solving large linear least squares problems with linear equality constraints2022 | Matematicko-fyzikální fakulta
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