At the highest level, response surfaces can be differentiated based on whether they are non-interpolating (i.e., it minimizes the sum of squared errors from some predetermined functional form) or interpolating (i.e., it passes through all points). It has been suggested that non-interpolating surfaces, such as fitted quadratic surfaces, are unreliable for surrogate based optimization because the surface may not sufficiently capture the shape of the function