The MOSEK Python optimizer API manual Version 7.0 (Revision 141)

22 CHAPTER 5. BASIC API TUTORIAL
streams for environment messages etc. When this is done one or more task objects can be created.
Each task is associated with a single environment and defines a complete optimization problem as well
as task message streams and optimization parameters.
When done, tasks and environments may be disposed explicitly by calling the del method. This
is not strictly necessary, but it will free up allocated resources and checked-out licenses immediately
instead of when the garbage collector runs.
In Python, the creation of an environment and a task would look something like this:
# Create an environment
env = mosek.Env()
# You may connect streams and other callbacks to env here.
# Create a task
task = env.Task()
# Load a problem into the task, optimize etc.
From Python 2.6 and later the with construction can be used to dispose objects automatically when
they drop of out of the with-scope:
# Create an environment
with mosek.Env() as env:
# You may connect streams and other callbacks to env here.
# Create a task
with env.Task() as task:
# Load a problem into the task, optimize etc.
Please note that multiple tasks should, if possible, share the same environment.
1 #
5.1.2 Example: Simple working example
The following simple example shows a working Python program which
• creates an environment and a task,
• reads a problem from a file,
• optimizes the problem, and
• writes the solution to a file.
[ simple.py ]
2 # Copyright: Copyright (c) MOSEK ApS, Denmark. All rights reserved.
3 #
4 # File: simple.py