searpas

valfpa

deriva_grad

func1

func

ForInternalUse

This algorithm provides a numerical solution to the
problem of minimizing a function. This is more efficient than
the Gauss-Newton-like algorithm when starting from points very
far from the final minimum. A new convergence test is
implemented (RDM) in addition to the usual stopping criterion :
stopping rule is when the gradients are small enough in the
parameters metric (GH-1G).

M Prague

marqLevAlg

An algorithm for least-squares curve fitting

ForInternalUse function

For internal use only ... — ForInternalUse

For internal use only ...

ForInternalUse: For internal use only ...

Description

Arguments