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Rovnice
Person
Class
Person
Publication
Programmes
doc. RNDr. Iveta Hnětynková Ph.D.
Academic staff at Faculty of Mathematics and Physics
7 classes
50 publications
Classes
class
Fundamentals of Numerical Linear Algebra
NMMB203 |
Faculty of Mathematics and Physics
class
Fundamentals of Numerical Mathematics
NMNM201 |
Faculty of Mathematics and Physics
class
Analysis of Matrix Calculations 2
NMNM332 |
Faculty of Mathematics and Physics
class
Analysis of Matrix Calculations 1 (M)
NMNM931 |
Faculty of Mathematics and Physics
class
Algorithms for matrix iterative methods
NMNV411 |
Faculty of Mathematics and Physics
class
Matrix Iterative Methods 2
NMNV438 |
Faculty of Mathematics and Physics
class
Inverse Problems and Regularization
NMNV531 |
Faculty of Mathematics and Physics
Publications
publication
Iterative hybrid regularization for extremely noisy full models in single particle analysis
2023 |
Faculty of Mathematics and Physics
publication
KRYLOV SUBSPACE APPROACH TO CORE PROBLEMS WITHIN MULTILINEAR APPROXIMATION PROBLEMS: A UNIFYING FRAMEWORK
2023 |
Faculty of Mathematics and Physics
publication
Residual norm behavior for Hybrid LSQR regularization
2023 |
Faculty of Mathematics and Physics
publication
Quality assessment of volume reconstructions in Single Particle Analysis
2023 |
Faculty of Mathematics and Physics
publication
ITERATIVE REGULARIZATION SCHEMA FOR VOLUME RECONSTRUCTIONS IN SINGLE PARTICLE ANALYSIS
2023 |
Faculty of Mathematics and Physics
publication
Properties of hybrid LSQR method for the solution discrete inverse problems in Single Particle Analysis
2023 |
Faculty of Mathematics and Physics
publication
Preconditioning of LSQR for the solution of large-scale discrete inverse problems
2023 |
Faculty of Mathematics and Physics
publication
Algebraic properties of projected problems in LSQR
2023 |
Faculty of Mathematics and Physics
publication
Computational Aspects of Iterative Methods for Volume Reconstruction in Single Particle Analysis
2022 |
Faculty of Mathematics and Physics
publication
On the properties of hybrid methods for the solution of large scale discrete inverse problems
2022 |
Faculty of Mathematics and Physics
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