Classes
- Algorithms for matrix iterative methodsNMNV411 | Faculty of Mathematics and Physics
- Matrix Iterative Methods 2NMNV438 | 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
- Inverse Problems and RegularizationNMNV531 | Faculty of Mathematics and Physics
Publications
- Preconditioning of LSQR for the solution of large-scale discrete inverse problems2023 | Faculty of Mathematics and Physics
- 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
- Residual norm behavior for Hybrid LSQR regularization2023 | Faculty of Mathematics and Physics
- Quality assessment of volume reconstructions in Single Particle Analysis2023 | Faculty of Mathematics and Physics
- ITERATIVE REGULARIZATION SCHEMA FOR VOLUME RECONSTRUCTIONS IN SINGLE PARTICLE ANALYSIS2023 | Faculty of Mathematics and Physics
- Properties of hybrid LSQR method for the solution discrete inverse problems in Single Particle Analysis2023 | Faculty of Mathematics and Physics
- Algebraic properties of projected problems in LSQR2023 | Faculty of Mathematics and Physics
- Computational Aspects of Iterative Methods for Volume Reconstruction in Single Particle Analysis2022 | 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
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