Description:

This work presents basic methods in least squares adjustment computation. These methods are first principles’ technique, observation equations and condition equations techniques. A simple numerical example is used to elucidate these basic methods. Including experimenting other more recent methods of adjustment such as: least squares collocation, Kalman filter and total least squares.