pyepo.model.grb.grbmodel

Abstract optimization model based on GurobiPy

Module Contents

Classes

optGrbModel

This is an abstract class for Gurobi-based optimization model

class pyepo.model.grb.grbmodel.optGrbModel

Bases: pyepo.model.opt.optModel

This is an abstract class for Gurobi-based optimization model

_model

Gurobi model

Type:

GurobiPy model

property num_cost

number of cost to be predicted

__repr__()

Return repr(self).

setObj(c)

A method to set objective function

Parameters:

c (np.ndarray / list) – cost of objective function

solve()

A method to solve model

Returns:

optimal solution (list) and objective value (float)

Return type:

tuple

copy()

A method to copy model

Returns:

new copied model

Return type:

optModel

addConstr(coefs, rhs)

A method to add new constraint

Parameters:

• coefs (np.ndarray / list) – coeffcients of new constraint

• rhs (float) – right-hand side of new constraint

Returns:

new model with the added constraint

Return type:

optModel