# 9 Debugging Tutorials¶

This collection of tutorials contains basic techniques for debugging optimization problems using tools available in MOSEK: optimizer log, solution summary, infeasibility report, command-line tools. It is intended as a first line of technical help for issues such as: Why do I get solution status unknown and how can I fix it? Why is my model infeasible while it shouldn’t be? Should I change some parameters? Can the model solve faster? etc.

The major steps when debugging a model are always:

• Enable log output. See Sec. 8.3.1 (Stream logging) for how to do it. In the simplest case:

    M.setLogHandler(sys.stdout)

• Run the optimization and analyze the log output, see Sec. 9.1 (Understanding optimizer log). In particular:

• check if the problem setup (number of constraints/variables etc.) matches your expectation.
• check solution summary and solution status.
• Dump the problem to disk if necessary to continue analysis. See Sec. 8.3.3 (Saving a problem to a file).

• use a human-readable text format, such as *.opf if you want to check the problem structure by hand. Assign names to variables and constraints to make them easier to identify.

    M.writeTask('dump.opf')

• use the MOSEK native format *.task.gz when submitting a bug report or support question.

    M.writeTask('dump.task.gz')

• Fix problem setup, improve the model, locate infeasibility or adjust parameters, depending on the diagnosis.

See the following sections for details.