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https://doi.org/10.1007/bf01098312
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Cite Publication Date: Feb 1, 1969 |
Affiliation: Kurchatov Institute
The minimum of the mean-square deviation of approximations of functions of several independent variables by sums of functions of fewer variables in a multidimensional parallelepiped is investigated. The approximating function yielding the minimum mean-square deviation is obtained and this minimum deviation is calculated.
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