Applications of Smolyak quadrature formulas to the numerical integration of Fourier coefficients and in function recovery problems (Q1956590)
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scientific article; zbMATH DE number 5790424
| Language | Label | Description | Also known as |
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| English | Applications of Smolyak quadrature formulas to the numerical integration of Fourier coefficients and in function recovery problems |
scientific article; zbMATH DE number 5790424 |
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Applications of Smolyak quadrature formulas to the numerical integration of Fourier coefficients and in function recovery problems (English)
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23 September 2010
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Let \(f: {\mathbb R}^s \to {\mathbb C}\) be a sufficiently smooth function which is 1-periodic in each variable. Using the Smolyak quadrature formula, which uses only nodes of a sparse grid in \([0,\,1]^s\), see \textit{S. A. Smolyak} [Dokl. Akad. Nauk SSSR 148, 1042--1045 (1963; Zbl 0202.39901)], the authors calculate the Fourier coefficients \[ {\hat f}(n) = \int_{[0,1]^s} f(x)\, e^{-2\pi i \,(n,x)}\, dx \quad (n\in {\mathbb Z}^s). \] If \(f\) belongs to generalized Sobolev or Korobov space, the exact orders of the errors of this numerical integration are determined by the authors. Finally, these results are applied to an approximate recovery of \(f\), where the exact Fourier coefficients \({\hat f}(n)\) of a finite Fourier sum are replaced by their computed values.
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Smolyak quadrature formula
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sparse grid
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multivariate periodic function
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computation of Fourier coefficients
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approximate recovery
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generalized Sobolev space
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generalized Korobov space
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function spaces of dominating mixed smoothness
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finite Fourier sum
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