https://hivreceptor.com/index.....php/computational-ac
A sum of squares of those general deviations is then minimized by machine learning methods. The optimized variables will be the weighting factors of individual uncorrelated 3D sound patterns. Corresponding covariance functions are numerically evaluated for two present atmospheric turbulence spectra. 1st one is the general customized atmospheric spectrum. The second one is the general changed von Karman spectrum. Based on these covariance functions, optimal sup
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