Abstract
A new algorithm for the estimation of parameters in non-linear models is described and its performance is compared with that of other algorithms for minimising sums of squares. The new algorithm is shown to be a significant improvement and has performed well for practical as well as bench-mark problems. Further improvements are under investigation.