dimod.QuadraticModel.update¶

QuadraticModel.update(other: Union[QuadraticModel, BinaryQuadraticModel])[source]¶

Update the quadratic model from another quadratic model.

Adds to the quadratic model the variables, linear biases, quadratic biases, and offset of the specified quadratic model. Linear and quadratic biases for variables that exist in both models are summed.

Parameters: other – Another quadratic model.
Raises: ValueError – If a variable exists in both quadratic models but has different vartypes or, for integer variables, different bounds.

Examples

>>> from dimod import QuadraticModel
>>> qm1 = QuadraticModel({'s1': -2.0, 's2': 0.0, 's3': 0.0, 's0': 0.0},
...         {('s2', 's1'): -1.0, ('s3', 's2'): 1.0}, 0.0,
...         {'s1': 'SPIN', 's2': 'SPIN', 's3': 'SPIN', 's0': 'SPIN'},
...         dtype='float64')
>>> qm2 = QuadraticModel({'s1': -2.0, 's2': 0.0, 's3': 0.0, 's4': -3.0},
...         {('s2', 's1'): -1.0, ('s3', 's1'): 1.0}, 0.0,
...         {'s1': 'SPIN', 's2': 'SPIN', 's3': 'SPIN', 's4': 'SPIN'},
...         dtype='float64')
>>> qm1.update(qm2)
>>> print(qm1.get_linear('s0'), qm1.get_linear('s1'), qm1.get_linear('s4'))
0.0 -4.0 -3.0
>>> print(qm1.get_quadratic('s2', 's1'), qm1.get_quadratic('s3', 's1'))
-2.0 1.0