Controls model scaling. By default, the rows and columns of the model
are scaled in order to improve the numerical properties of the
constraint matrix. The scaling is removed before the final solution
is returned. Scaling typically reduces solution times, but it may
lead to larger constraint violations in the original, unscaled model.
Turning off scaling (
ScaleFlag=0) can sometimes produce smaller
constraint violations. Choosing a different scaling option
can sometimes improve performance for particularly numerically difficult
models. Using geometric mean scaling (
ScaleFlag=2) is especially
well suited for models with a wide range of coefficients in the constraint
matrix rows or columns. Settings 1 and 3 are not as directly connected
to any specific model characteristics, so experimentation with both
settings may be needed to assess performance impact.
For examples of how to query or modify parameter values from our different APIs, refer to our Parameter Examples.