Module NL2SN in CMLIBMinimizes a nonlinear sum of squares using residual values only.
CALL NL2SN(N, P, X, CALCR, IV, LIV, LV, V, UIPARM, URPARM, UFPARM)| K1b1a1 | Unconstrained nonlinear least squares approximation by smooth functions, user provides no derivatives |
| L8e1b1 | Parameter estimation in nonlinear least squares regression using unweighted data, user provides no derivatives |
| L8e1b3 | Parameter estimation in nonlinear least squares regression using weighted data, user provides no derivatives |