micom.duality
=============
.. py:module:: micom.duality
.. autoapi-nested-parse::
Implements a fast dual formulation.
Functions
---------
.. autoapisummary::
micom.duality.fast_dual
Module Contents
---------------
.. py:function:: fast_dual(model, prefix='dual_')
Add dual formulation to the problem.
A mathematical optimization problem can be viewed as a primal and a dual
problem. If the primal problem is a minimization problem the dual is a
maximization problem, and the optimal value of the dual is a lower bound of
the optimal value of the primal. For linear problems, strong duality holds,
which means that the optimal values of the primal and dual are equal
(duality gap = 0). This functions takes an optlang Model representing a
primal linear problem
and returns a new Model representing the dual optimization problem. The
provided model must have a linear objective, linear constraints and only
continuous variables. Furthermore, the problem must be in standard form,
i.e. all variables should be non-negative. Both minimization and
maximization problems are allowed.
.. attribute:: model
The model to be dualized.
:type: cobra.Model
.. attribute:: prefix
The string that will be prepended to all variable and constraint names
in the returned dual problem.
:type: str
:returns: The coefficients for the new dual objective.
:rtype: dict