“…Consistent with the literature, the Newton-based methods, which do well when starting close to the minimum [24], have shown a general high sensitivity towards initial values, which would explain their lower percentage of successful fits. Still, NL2SNO seems less sensitive to starting values than NLSL and NLSL(s), as would be expected, since it starts out with a Gauss-Newton model, which is known to have better initial convergence.…”