The only difference from the one-dimensional case is that the sum is over all elements of the predicted data matrix rather than over a vector. Note, however, that the indices in Equation (2.24) are  and  which refer to variables, not  and  which refer to components. For example  may refer to an amplitude associated with component  , while  may refer to the relaxation rate belonging to the same component  . Symbolic expressions for Fisher information matrix elements can in principle be found using computer algebra packages. However, this report explores parameter uncertainties from two-dimensional measurements using Monte Carlo explorations rather than symbolically. Within the assumptions that lead to the usefulness of the Fisher Information Matrix, this is equivalent to exploring its inverse.