where the superscript T means matrix transpose. For the sake of generality, in order to account for nonuniform magnitudes and tendencies for simultaneous change (i.e., correlation) in the observation errors, a weighted least squares approach is adopted
min (y-h(s))rR-•(y-h(s))where R is an n by n positive definite matrix. Such least squares formulations to the inverse problem are quite popular. One of the earliest applications was given by Jahns [1966]. In groundwater hydrology a well-known approach is the nonlinear regression method [Cooley, 1977]. In 2263