The Frobenius norm of a matrix is defined as the square root of the sum of squares of all of the elements of , i.e.,

The Frobenius norm is inspired by the root mean square (RMS), which is used when we are interested in the magnitude, but not the sign, of elements in a collection. Strictly speaking, it is not actually a RMS because we omit the normalization .