GRBgetattrinfo

int GRBgetattrinfo ( GRBmodel *model,
    const char *attrname,
    int *datatypeP,
    int *attrtypeP,
    int *settableP )

Obtain information about an attribute.

Return value:

A non-zero return value indicates that a problem occurred while obtaining information about the attribute. Refer to the Error Code table for a list of possible return values. Details on the error can be obtained by calling GRBgeterrormsg.

Arguments:

model: A loaded optimization model, typically created by routine GRBnewmodel or GRBreadmodel.

attrname: The name of an attribute. Available attributes are listed and described in the Attributes section of this document.

datatypeP: On completion, the integer pointed to by this argument will indicate the data type of the attribute. Possible types are char (0), int (1), double (2), or string(3). This argument can be NULL.

attrtypeP: On completion, the integer pointed to by this argument will indicate the type of the attribute. Possible types are model attribute (0), variable attribute (1), linear constraint attribute (2), (3) SOS constraint attribute, (4) quadratic constraint attribute, or (5) general constraint attribute. This argument can be NULL.

settableP: On completion, the integer pointed to by this argument will indicate whether the attribute can be set (1) or not (0). This argument can be NULL.

Example usage:

  int datatype, attrtype, settable;
  error = GRBgetattrinfo(model, "ModelName", &datatype, &attrtype, &settable);

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