sasoptpy.VariableGroup.mult¶

VariableGroup.mult(self, vector)[source]¶

Quick multiplication method for the variable groups

Parameters

vectorlist, dictionary, pandas.Series, or pandas.DataFrame: Vector to be multiplied with the variable group

Returns

rExpression: An expression that is the product of the variable group with the specified vector

Examples

Multiplying with a list

>>> x = so.VariableGroup(4, vartype=so.BIN, name='x')
>>> e1 = x.mult([1, 5, 6, 10])
>>> print(e1)
 10.0 * x[3]  +  6.0 * x[2]  +  x[0]  +  5.0 * x[1]

Multiplying with a dictionary

>>> y = so.VariableGroup([0, 1], ['a', 'b'], name='y', lb=0, ub=10)
>>> dvals = {(0, 'a'): 1, (0, 'b'): 2, (1, 'a'): -1, (1, 'b'): 5}
>>> e2 = y.mult(dvals)
>>> print(e2)
 2.0 * y[0, 'b']  -  y[1, 'a']  +  y[0, 'a']  +  5.0 * y[1, 'b']

Multiplying with a pandas.Series object

>>> u = so.VariableGroup(['a', 'b', 'c', 'd'], name='u')
>>> ps = pd.Series([0.1, 1.5, -0.2, 0.3], index=['a', 'b', 'c', 'd'])
>>> e3 = u.mult(ps)
>>> print(e3)
 1.5 * u['b']  +  0.1 * u['a']  -  0.2 * u['c']  +  0.3 * u['d']

Multiplying with a pandas.DataFrame object

>>> data = np.random.rand(3, 3)
>>> df = pd.DataFrame(data, columns=['a', 'b', 'c'])
>>> print(df)
NOTE: Initialized model model1
          a         b         c
0  0.966524  0.237081  0.944630
1  0.821356  0.074753  0.345596
2  0.065229  0.037212  0.136644
>>> y = m.add_variables(3, ['a', 'b', 'c'], name='y')
>>> e = y.mult(df)
>>> print(e)
0.9665237354418064 * y[0, 'a']  +  0.23708064143289442 * y[0, 'b']  +
0.944629500537536 * y[0, 'c']  +  0.8213562592159828 * y[1, 'a']  +
0.07475256894157478 * y[1, 'b']  +  0.3455957019116668 * y[1, 'c']  +
0.06522945752546017 * y[2, 'a']  +  0.03721153533250843 * y[2, 'b']  +
0.13664422498043194 * y[2, 'c']