Classes
- Inverse Problems and RegularizationNMNV531 | 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
- Algorithms for matrix iterative methodsNMNV411 | Faculty of Mathematics and Physics
- Matrix Iterative Methods 2NMNV438 | Faculty of Mathematics and Physics
Publications
- Iterative hybrid regularization for extremely noisy full models in single particle analysis2023 | Faculty of Mathematics and Physics
- Residual norm behavior for Hybrid LSQR regularization2023 | Faculty of Mathematics and Physics
- ITERATIVE REGULARIZATION SCHEMA FOR VOLUME RECONSTRUCTIONS IN SINGLE PARTICLE ANALYSIS2023 | Faculty of Mathematics and Physics
- On the properties of hybrid methods for the solution of large scale discrete inverse problems2022 | Faculty of Mathematics and Physics
- Numerical solution of inverse problems in 3D imaging2021 | Faculty of Mathematics and Physics
- Hybrid LSQR regularization for inverse problems in Single Particle Analysis2020 | Faculty of Mathematics and Physics
- Parameter choice methods for inner-outer regularization in Single Particle Analysis2020 | Faculty of Mathematics and Physics
- Noise representation in residuals of LSQR, LSMR, and CRAIG regularization2017 | 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
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