Environments can also be used to set algorithmic parameters - parameters that control the behavior of the optimization solver. To give a few examples, the TimeLimit parameter indicates the maximum allowed runtime for any solve, while the Method parameter chooses the algorithm used to solve continuous optimization models.
Having said that, we actually recommend that you set algorithmic
parameters on the model rather than on the environment. The
object-oriented APIs all include
model.set methods that enable
you to do so. What's the difference between setting parameters on the
environment versus on the model? Parameter values are copied from the
environment when the model is created, so changes to parameter values
in the environment have no effect on models that have already been
created. This is a frequent source of confusion.
Please see the Parameter Examples section for examples on how parameters are set.