Try our new documentation site (beta).


Barrier convergence tolerance for QCP models
 Type: double
 Default value: 1e-6
 Minimum value: 0.0
 Maximum value: 1.0

When solving a QCP model, the barrier solver terminates when the relative difference between the primal and dual objective values is less than the specified tolerance (with a GRB_OPTIMAL status). Tightening this tolerance may lead to a more accurate solution, but it may also lead to a failure to converge.

Note: Barrier only

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.