pyepo.model.omo.omomodel
========================

.. py:module:: pyepo.model.omo.omomodel

.. autoapi-nested-parse::

   Abstract optimization model based on Pyomo



Attributes
----------

.. autoapisummary::

   pyepo.model.omo.omomodel._HAS_PYOMO


Classes
-------

.. autoapisummary::

   pyepo.model.omo.omomodel.optOmoModel


Module Contents
---------------

.. py:data:: _HAS_PYOMO
   :value: True


.. py:class:: optOmoModel(solver='glpk')

   Bases: :py:obj:`pyepo.model.opt.optModel`


   This is an abstract class for Pyomo-based optimization model

   .. attribute:: _model

      Pyomo model

      :type: PyOmo model

   .. attribute:: solver

      optimization solver in the background

      :type: str


   .. py:attribute:: solver
      :value: 'glpk'



   .. py:method:: __repr__()


   .. py:method:: setObj(c)

      A method to set objective function

      :param c: cost of objective function
      :type c: np.ndarray / list



   .. py:method:: solve()

      A method to solve model

      :returns: optimal solution (list) and objective value (float)
      :rtype: tuple



   .. py:method:: copy()

      A method to copy model

      :returns: new copied model
      :rtype: optModel



   .. py:method:: addConstr(coefs, rhs)

      A method to add new constraint

      :param coefs: coeffcients of new constraint
      :type coefs: np.ndarray / list
      :param rhs: right-hand side of new constraint
      :type rhs: float

      :returns: new model with the added constraint
      :rtype: optModel