Classes
- Algorithms for matrix iterative methodsNMNV411 | Faculty of Mathematics and Physics
- Fundamentals of Numerical Linear AlgebraNMMB203 | Faculty of Mathematics and Physics
- Fundamentals of Numerical MathematicsNMNM201 | Faculty of Mathematics and Physics
- Analysis of Matrix Calculations 2NMNM332 | Faculty of Mathematics and Physics
- Analysis of Matrix Calculations 1 (M)NMNM931 | Faculty of Mathematics and Physics
- Matrix Iterative Methods 2NMNV438 | Faculty of Mathematics and Physics
- Inverse Problems and RegularizationNMNV531 | Faculty of Mathematics and Physics
Publications
- Noise representation in residuals of LSQR, LSMR, and CRAIG regularization2017 | Faculty of Mathematics and Physics
- Filter factors of truncated tls regularization with multiple observations2017 | Faculty of Mathematics and Physics
- Notes on performance of bidiagonalization-based estimator in image deblurring2016 | Faculty of Mathematics and Physics
- NOTES ON PERFORMANCE OF BIDIAGONALIZATION-BASED NOISE LEVEL ESTIMATOR IN IMAGE DEBLURRING2016 | Faculty of Mathematics and Physics
- Noise revealing in Golub-Kahan bidiagonalization as a mean of regularization in discrete inverse problems2014 | Faculty of Mathematics and Physics
- The Regularizing Effect of the Golub-Kahan Iterative Bidiagonalization and Revealing the Noise Level in the Data2009 | Faculty of Mathematics and Physics
- Golub-Kahan iterative bidiagonalization and stopping criteria in ill-posed problems2007 | Faculty of Mathematics and Physics
- The Regularizing Efect of the Golub-Kahan Iterative Bidiagonalization and Revealing the Noise in the DataPublication without faculty affiliation
- Iterative hybrid regularization for extremely noisy full models in single particle analysis2023 | Faculty of Mathematics and Physics
- KRYLOV SUBSPACE APPROACH TO CORE PROBLEMS WITHIN MULTILINEAR APPROXIMATION PROBLEMS: A UNIFYING FRAMEWORK2023 | Faculty of Mathematics and Physics
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