Study on Iterative Algorithm of Nonlinear Least Squares Adjustment by Parameters

In addition to the three existing nonlinear squares algorithmsGauss-Newton method, damped lwast squares method and quasi-Newton method on least squares, a better algorithmSQPM (Sequential Quadratic Programming Method) as one of the most powerful algorthms of nonlinear programming is applied. And the step-length policy of SQPM is improved in order to advance the iterative convergency. The improved SQPM becomes a useful and effective algorithm to solve parameters problems by nonlinear least squares adjustment without exactly computing the approximation of parameters.