Try our new documentation site (beta).


FuncPieceRatio

Control whether to under- or over-estimate function values in PWL approximation
 Type: double
 Default value: -1
 Minimum value: -1
 Maximum value: 1

This parameter controls whether the piecewise-linear approximation of a function constraint is an underestimate of the function, an overestimate, or somewhere in between. A value of <span>$</span>0.0<span>$</span> will always underestimate, while a value of <span>$</span>1.0<span>$</span> will always overestimate. A value in between will interpolate between the underestimate and the overestimate. A special value of -1 chooses points that are on the original function. The behaviour is not defined for other negative values.

See the discussion of function constraints for more information.

For examples of how to query or modify parameter values from our different APIs, refer to our Parameter Examples.

Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.

Search

Gurobi Optimization