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Class L8e1b1 ... Parameter estimation in nonlinear least squares regression using unweighted data, user provides no derivatives

Modules for class L8e1b1

Package CMLIB at ITL|ARNO

DNL2SN (NL2SN) Minimizes a nonlinear sum of squares using residual values only. (Double precisi ...
NL2SN (DNL2SN) Minimizes a nonlinear sum of squares using residual values only.

Package DATAPLOT at ITL|ARNO

FIT Fits a nonlinear model (including linear and polynomial models) to data by least ...
PRE-FIT Fits a nonlinear model (including linear and polynomial models) to data over a s ...

Package NAG at ITL|AIX

E04FCF A comprehensive algorithm for finding an unconstrained minimum of a sum of squar ...
E04FDF An easy-to-use algorithm for finding an unconstrained minimum of a sum of square ...
E04UPF Minimizes an arbitrary smooth sum of squares function subject to constraints, wh ...

NAG_OPT_LSQ_NO_DERIV A comprehensive algorithm for finding an unconstrained minimum of a sum of squar ...
NAG_OPT_NLIN_LSQ Designed to minimize an arbitrary smooth sum of squares function subject to cons ...

Package STARPAC at ITL|ARNO

NLS Unweighted nonlinear regression by a quasi-Newton algorithm using finite differe ...
NLSC Unweighted nonlinear regression by a quasi-Newton algorithm using finite differe ...
NLSS Unweighted nonlinear regression by a quasi-Newton algorithm using finite differe ...

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