Square root any nonnegative number, then the principal square root of −"x" is The right side (as well as its negative) is indeed a square root of −"x", since For every non-zero complex number "z" there exist precisely two numbers "w" such that : the principal square root of "z" (defined below), and its negative. There are two complex numbers that square to a given arbitrary non-zero imaginary number formula_11 with real formula_12 where the two-digit pattern {3, 6} repeats over and over again in the partial denominators. Since , the above is also identical to the following generalized continued fractions: The
Root-mean-square deviation Root-mean-square deviation The root-mean-square deviation (RMSD) or root-mean-square error (RMSE) (or sometimes root-mean-square"d" error) is a frequently used measure of the differences between values (sample or population values) predicted by a model or an estimator and the values observed. The RMSD represents the square root of the second sample moment of the differences between predicted values and observed values or the quadratic mean of these differences. These deviations are called "residuals" when the calculations are performed over the data sample that was used for estimation and are called "errors" (or prediction errors) when computed out-of-sample. The RMSD serves to aggregate