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We study bounds on the exponents of sparse grids for L 2‐discrepancy and average case d‐dimensional integration with respect to the Wiener sheet measure.
We study bounds on the exponents of sparse grids for L2-discrepancy and average case d-dimensional integration with respect to the Wiener sheet measure.
Bounds on the exponents of sparse grids for L2‐discrepancy and average case d‐dimensional integration with respect to the Wiener sheet measure are studied ...
We study bounds on the exponents of sparse grids for L 2‐discrepancy and average case d‐dimensional integration with respect to the Wiener sheet measure.
We study bounds on the exponents of sparse grids for L 2‐discrepancy and average case d‐dimensional integration with respect to the Wiener sheet measure.
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The exponent of discrepancy of sparse grids is at least 2.1933. Adv. Comput. Math., 12 (2000), pp. 3-24. View in Scopus Google Scholar. 3. I.H. Sloan, H ...
The exponent of discrepancy of sparse grids is at least 2.1933. 3-24 ... High dimensional polynomial interpolation on sparse grids. 273-288. Electronic ...
L. Plaskota, The exponent of discrepancy of sparse grids is at least 2.1933, Adv. Comput. Math., 12 (2000) 3-24.
Polynomial Upper Bounds for the Star-Discrepancy. 15:00, Plaskota L, The Exponent of Discrepancy of Sparse Grids is At Least 2.1933. 15:25, Schmid W, Optimal ...
The exponent of discrepancy of sparse grids is at least 2.1933. Article. Jan 2000. Leszek Plaskota. We study bounds on the exponents of sparse ...