ABSTRACT
Equation (21) represents an optimal inverse for equation (1). Since ß was chosen to minimize the error variance ?x
2, no other linear algorithm can give a better result: a search for a better linear algorithm would be pointless. It may not be clear, until we have taken the time to understand the derivation, that there cannot be a better linear algorithm somewhere. I shall show that this is also true for multidimensional problems.
