Approximative capabilities of ``Smolyak type computational aggregates with Dirichlet, Fejér and Vallée-Poussin kernels in the scale of Ul'yanov classes
DOI10.3103/S1066369X15070099zbMath1346.42009OpenAlexW807638775MaRDI QIDQ891751
A. A. Shomanova, N. Zh. Nauryzbayev, Nurlan Temirgaliyev
Publication date: 17 November 2015
Published in: Russian Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3103/s1066369x15070099
Dirichlet kerneltensor productFejér kerneltrigonometric Fourier seriesVallée-Poussin kernelKorobov classesrecovering operatorUl'yanov classes
Fourier series and coefficients in several variables (42B05) Summability in several variables (42B08)
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Cites Work
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- An exact order of discrepancy of the Smolyak grid and some general conclusions in the theory of numerical integration
- Tensor products of functionals and their application
- Average case complexity of multivariate integration for smooth functions
- Explicit cost bounds of algorithms for multivariate tensor product problems
- Applications of Smolyak quadrature formulas to the numerical integration of Fourier coefficients and in function recovery problems
- An application of tensor products of functionals in problems of numerical integration
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