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In the approximation history, many different basis functions have been found and studied.
In the approximation of the activation function, a Taylor series and a look-up table (LUT) are used to achieve an accurate approximation.
In the approximation by Eq. (16), we create a new variable S' and ( {S}^{hbox={e}^{-left -frac{10log_{10}S-mu ^{-left -frac{10log_{10}S-mu ^{-left -frac{10log_{10}S-mu ^{-left -frac{10log_{10}S-mu
In the approximation error approach [ 11, 12], second order statistics of the error model (EM-2) is considered.
Further thought suggests that as the slices get very thin, the error in the approximation becomes very small.
Suppose (U x,t)) in the approximation of (12).
Statistical convergence is quite effective in the approximation theory.
where the constant in the approximation is independent of and.
It enables the PI approach to explicitly allow for the damping matrix in the approximation.
Insufficient resolution can result in unwanted handles or disconnected components in the approximation.
However, even in the approximation of pair interaction, higher order correlation functions are of interest.
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