nlp_scaling_min_value:

Minimum value of gradient-based scaling values. $\;$
This is the lower bound for the scaling factors computed by gradient-based scaling method. If some derivatives of some functions are huge, the scaling factors will otherwise become very small, and the (unscaled) final constraint violation, for example, might then be significant. Note: This option is only used if "nlp_scaling_method" is chosen as "gradient-based". The valid range for this real option is $0 \le {\tt nlp\_scaling\_min\_value } < {\tt +inf}$ and its default value is $1 \cdot 10^{-08}$.