nlp_scaling_method:

Select the technique used for scaling the NLP. $\;$
Selects the technique used for scaling the problem internally before it is solved. For user-scaling, the parameters come from the NLP. If you are using AMPL, they can be specified through suffixes ("scaling_factor") The default value for this string option is "gradient-based".
Possible values:

• none: no problem scaling will be performed
• user-scaling: scaling parameters will come from the user
• gradient-based: scale the problem so the maximum gradient at the starting point is scaling_max_gradient
• equilibration-based: scale the problem so that first derivatives are of order 1 at random points (only available with MC19)