GRBwrite

int GRBwrite ( GRBmodel *model,
    const char *filename )

This routine is the general entry point for writing optimization data to a file. It can be used to write optimization models, solutions vectors, basis vectors, start vectors, or parameter settings. The type of data written is determined by the file suffix. File formats are described in the File Format section.

Note that writing a model to a file will process all pending model modifications. However, writing other model information (solutions, bases, etc.) will not.

Return value:

A non-zero return value indicates that a problem occurred while writing the file. 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: The model containing the data to be written.

filename: The name of the file to be written. The file type is encoded in the file name suffix. Valid suffixes are .mps, .rew, .lp, or .rlp for writing the model itself, .ilp for writing just the IIS associated with an infeasible model (see GRBcomputeIIS for further information), .sol for writing the current solution, .mst for writing a start vector, .hnt for writing a hint file, .bas for writing an LP basis, or .prm for writing modified parameter settings. The files can be compressed, so additional suffixes of .gz, .bz2, or .7z are accepted.

Example usage:

  error = GRBwrite(model, "/tmp/model.rlp.gz");

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