Least Squares

Next: Nonlinear Minimization Up: No Title Previous: When Should You

Generally, we analyze
which shows why is also called least squares fit. As in above examples, expand about
In this approximation, we now get ``standard linear formulae.''
Minimize ignoring corrections gives
which is same equation we found for iterative solution of P.D.E. BUT only exact when LINEAR in unknown parameters .