Mgr. Jana Žáková, Ph.D.

1. HNĚTYNKOVÁ, I., PLEŠINGER, M. a ŽÁKOVÁ, J., 2023. Krylov subspace approach to core problems within multilinear approximation problems: A unifying framework. SIAM journal on matrix analysis and applications. 44(1), 53-79. ISSN 0895-4798.
2. HNĚTYNKOVÁ, I., PLEŠINGER, M. a ŽÁKOVÁ, J., 2019. On TLS formulation and core reduction for data fitting with generalized models. Linear Algebra and Its Applications. 577(15 September), 1-20. ISSN 0024-3795.
3. HNĚTYNKOVÁ, I., PLEŠINGER, M. a ŽÁKOVÁ, J., 2019. Solvability classes for core problems in matrix total least squares minimization. Applications of Mathematics. 64(2), 103-128. ISSN 0862-7940.
4. HNĚTYNKOVÁ, I., PLEŠINGER, M. a ŽÁKOVÁ, J., 2018. TLS formulation and core reduction for problems with structured right-hand sides. Linear Algebra and Its Applications. 555(15 October), 241-265. ISSN 0024-3795.
5. HNĚTYNKOVÁ, I., PLEŠINGER, M. a ŽÁKOVÁ, J., 2017. Filter factors of truncated tls regularization with multiple observations. Applications of Mathematics. 62(2), 105-120. ISSN 0862-7940.

1. HNĚTYNKOVÁ, I., PLEŠINGER, M. a ŽÁKOVÁ, J., 2018. Towards tensor generalizations of TLS & core problem theory. Proceedings in Applied Mathematics and Mechanics. 18(1), ISSN 1617-7061
2. HNĚTYNKOVÁ, I., PLEŠINGER, M. a ŽÁKOVÁ, J., 2017. Modification of TLS algorithm for solving ℱ2 linear data fitting problems. Proceedings in Applied Mathematics and Mechanics. 17(December), 749-750. ISSN 1617-7061

1. HNĚTYNKOVÁ, I., PLEŠINGER, M. a ŽÁKOVÁ, J., 2020. Extracting relevant data from linear data fitting problems via generalized Krylov subspace methods.
2. HNĚTYNKOVÁ, I., PLEŠINGER, M. a ŽÁKOVÁ, J., 2020. Recent development of the core problem theory in the context of the total least squares minimization.

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