Předměty
Publikace
- 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
- Strengths and limitations of stretching for least-squares problems with some dense rows2021 | Matematicko-fyzikální fakulta
- A null-space approach for large-scale symmetric saddle point systems with a small and non zero (2, 2) block2021 | Matematicko-fyzikální fakulta
- SPARSE STRETCHING FOR SOLVING SPARSE-DENSE LINEAR LEAST-SQUARES PROBLEMS2019 | Matematicko-fyzikální fakulta
- A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows2018 | Matematicko-fyzikální fakulta
- SOLVING MIXED SPARSE-DENSE LINEAR LEAST-SQUARES PROBLEMS BY PRECONDITIONED ITERATIVE METHODS2017 | 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
- Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering2023 | Matematicko-fyzikální fakulta
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