Bivariate Mellin convolution operators: quantitative approximation theorems
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Publication:552140
DOI10.1016/J.MCM.2010.11.089zbMath1217.41024OpenAlexW2083620823MaRDI QIDQ552140
Carlo Bardaro, Ilaria Mantellini
Publication date: 21 July 2011
Published in: Mathematical and Computer Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mcm.2010.11.089
Convolution as an integral transform (44A35) Special integral transforms (Legendre, Hilbert, etc.) (44A15) Integral operators (47G10) Approximation by operators (in particular, by integral operators) (41A35)
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The moments of the bivariate Mellin–Picard-type kernels and applications ⋮ Almost everywhere approximation capabilities of double Mellin approximate identity neural networks ⋮ Modular filter convergence theorems for abstract sampling type operators ⋮ A new approach to nonlinear singular integral operators depending on three parameters ⋮ Asymptotic evaluations for multivariate Mellin convolution operators
Cites Work
- A quantitative voronovskaya formula for Mellin convolution operators
- Korovkin-type approximation theory and its applications
- A direct approach to the Mellin transform
- Voronovskaya-type estimates for Mellin convolution operators
- Exact interpolation theorems for Lipschitz continuous functions
- Generalized Sampling Approximation of Bivariate Signals: Rate of Pointwise Convergence
- Asymptotic formulae for bivariate Mellin convolution operators
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