How do I avoid an out-of-memory condition while using the Java API?

In some cases, a Java program might produce an out-of-memory error, even though the same model can be solved as an LP or MPS file.

The memory heap in Java is fixed at runtime, which can lead to an out-of-memory condition. However, you can adjust the size of the memory heap by setting the -Xmx parameter when you launch the Java VM.

For example, if you want to use 4GB of memory to run the Diet example model, you could launch it with this command:

java -cp /opt/gurobi1301/linux64/lib/gurobi.jar -Xmx4g Diet

Further information

• How do I export a model from Gurobi?
• Why do I get random errors when solving the same model on the same computer?
• How do I avoid an out-of-memory condition?