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Standard Deviation

Returns the standard deviation along a named dimension of all elements present. If the dimension is not named, then the standard deviation is over all elements present in the tensor. Note that missing elements are not counted.


\begin{displaymath} \sigma = \frac1{N-1}\sum_i^N (x_i-\langle x\rangle)^2 \end{displaymath}