SolveSolution

class m4opt.milp.SolveSolution(model, var_value_map, obj, name)

Bases: SolveSolution

Creates a new solution object, associated to a a model.

Parameters:

• model – The model to which the solution is associated. This model cannot be changed.

• obj – The value of the objective in the solution. A value of None means the objective is not defined at the time the solution is created, and will be set later.

• blended_obj_by_priority – For multi-objective models: the value of sub-problems’ objectives (each sub-problem groups objectives having same priority).

• var_value_map – a Python dictionary containing associations of variables to values.

• name – a name for the solution. The default is None, in which case the solution is named after the model name.

Returns:

A solution object.

Methods Summary

get_values(var_seq)

Get solution values for multidimensional arrays of variables.

Methods Documentation

get_values(var_seq)

Get solution values for multidimensional arrays of variables.

Examples

>>> from m4opt.milp import Model
>>> m = Model()
>>> x = m.continuous_vars((3, 4), ub=42)
✓ adding 12 continuous variables 0:00:00
>>> m.maximize(m.sum(x.ravel()))
>>> solution = m.solve()
Version identifier: ...
>>> solution.get_values(x[0])
array([42., 42., 42., 42.])
>>> solution.get_values(x)
array([[42., 42., 42., 42.],
       [42., 42., 42., 42.],
       [42., 42., 42., 42.]])