Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Iveta Hnětynková"'
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 44:53-79
Autor:
Eva Havelková, Iveta Hnětynková
Publikováno v:
Linear Algebra and its Applications. 656:131-157
Autor:
Eva Havelková, Iveta Hnětynková
Publikováno v:
Programs and Algorithms of Numerical Mathematics 21.
Hybrid LSQR represents a powerful method for regularization of large-scale discrete inverse problems, where ill-conditioning of the model matrix and ill-posedness of the problem make the solutions seriously sensitive to the unknown noise in the data.
Publikováno v:
Applications of Mathematics. 64:103-128
Linear matrix approximation problems AX ≈ B are often solved by the total least squares minimization (TLS). Unfortunately, the TLS solution may not exist in general. The so-called core problem theory brought an insight into this effect. Moreover, i
Autor:
Jan Pacovský, Petr Hnětynka, Gabor Sandor, Lubomír Bulej, Ilias Gerostathopoulos, Tomas Bures, Iveta Hnětynková, Adam Filandr
Publikováno v:
Journal of Systems and Software
Journal of Systems and Software, 172:110872, 1-15. Elsevier
Bulej, L, Bureš, T, Filandr, A, Hnětynka, P, Hnětynková, I, Pacovský, J, Sandor, G & Gerostathopoulos, I 2021, ' Managing latency in edge–cloud environment ', Journal of Systems and Software, vol. 172, 110872, pp. 1-15 . https://doi.org/10.1016/j.jss.2020.110872
Journal of Systems and Software, 172:110872, 1-15. Elsevier
Bulej, L, Bureš, T, Filandr, A, Hnětynka, P, Hnětynková, I, Pacovský, J, Sandor, G & Gerostathopoulos, I 2021, ' Managing latency in edge–cloud environment ', Journal of Systems and Software, vol. 172, 110872, pp. 1-15 . https://doi.org/10.1016/j.jss.2020.110872
Modern Cyber–physical Systems (CPS) include applications like smart traffic, smart agriculture, smart power grid, etc. Commonly, these systems are distributed and composed of end-user applications and microservices that typically run in the cloud.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34ec8dca3763c211ad609625ffde0808
https://zenodo.org/record/5541550
https://zenodo.org/record/5541550
Publikováno v:
Linear Algebra and its Applications. 555:241-265
The total least squares (TLS) represents a popular data fitting approach for solving linear approximation problems A x ≈ b (i.e., with a vector right-hand side) and A X ≈ B (i.e., with a matrix right-hand side) contaminated by errors. This paper
Publikováno v:
APPLICATIONS OF MATHEMATICS. 62:105-120
The total least squares (TLS) and truncated TLS (T-TLS) methods are widely known linear data fitting approaches, often used also in the context of very ill-conditioned, rank-deficient, or ill-posed problems. Regularization properties of T-TLS applied
Publikováno v:
PAMM. 18
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 37:861-876
Recently it was shown how necessary and sufficient information for solving an orthogonally invariant linear approximation problem $AX\approx B$ with multiple right-hand sides can be revealed through the so-called core problem reduction; see [I. Hnět
Autor:
Martin Plešinger, Iveta Hnětynková
Publikováno v:
Linear Algebra and its Applications. 487:203-219
The paper by I. Hnětynkova et al. (2015) [11] introduces real wedge-shaped matrices that can be seen as a generalization of Jacobi matrices, and investigates their basic properties. They are used in the analysis of the behavior of a Krylov subspace