Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aitong Huang"'
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3703 (2022)
Orthogonal matching pursuit (OMP for short) is a classical method for sparse signal recovery in compressed sensing. In this paper, we consider the application of OMP to reconstruct sparse polynomials generated by uniformly bounded orthonormal systems
Externí odkaz:
https://doaj.org/article/a2f56100c4724dfd9fa7342894ed91e3
Publikováno v:
Mathematics, Vol 8, Iss 11, p 1923 (2020)
The radial basis function (RBF) is a class of approximation functions commonly used in interpolation and least squares. The RBF is especially suitable for scattered data approximation and high dimensional function approximation. The smoothness and ap
Externí odkaz:
https://doaj.org/article/c07cf8d3fb0746ffac68a9a5d7295897
Publikováno v:
Journal of Computational Mathematics. 41:18-38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b783f59941b67ef661cf37813b501ad2
https://doi.org/10.4208/jcm.2104-m2020-0250
https://doi.org/10.4208/jcm.2104-m2020-0250
Publikováno v:
Numerical Mathematics: Theory, Methods & Applications. Aug2022, Vol. 15 Issue 3, p793-818. 26p.
Publikováno v:
Applied Mathematical Modelling.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8baa2cf86748081c61a574ae3b3f0bac
https://doi.org/10.1016/j.apm.2023.05.032
https://doi.org/10.1016/j.apm.2023.05.032
Publikováno v:
Mathematics
Volume 8
Issue 11
Mathematics, Vol 8, Iss 1923, p 1923 (2020)
Volume 8
Issue 11
Mathematics, Vol 8, Iss 1923, p 1923 (2020)
The radial basis function (RBF) is a class of approximation functions commonly used in interpolation and least squares. The RBF is especially suitable for scattered data approximation and high dimensional function approximation. The smoothness and ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b760536170f6778483c5e855aba1e5f9
Publikováno v:
Journal of Computational and Applied Mathematics. 370:112655
In the fitting of scattered data, there may be a few sample values that contain high noise, which are called outliers. In dealing with such scattered data, the approximation effect of the classical moving least squares (abbr. MLS) is greatly reduced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a3df3a8dcfdcb53c872dc8ac96778dc
https://doi.org/10.1016/j.cam.2019.112655
https://doi.org/10.1016/j.cam.2019.112655
Autor:
Renzhong Feng, Aitong Huang
Publikováno v:
Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c52686b3e0e8988bac5e46846c349bc
https://doi.org/10.2991/ammsa-18.2018.5
https://doi.org/10.2991/ammsa-18.2018.5