dwave.optimization.model.Model.quadratic_model#
- Model.quadratic_model(x, quadratic, linear=None)#
Create a quadratic model from an array and a quadratic model.
- Parameters:
x – An array.
quadratic – Quadratic values for the quadratic model.
linear – Linear values for the quadratic model.
- Returns:
A quadratic model.
Examples
This example creates a quadratic model.
>>> from dwave.optimization.model import Model >>> model = Model() >>> x = model.binary(3) >>> Q = {(0, 0): 0, (0, 1): 1, (0, 2): 2, (1, 1): 1, (1, 2): 3, (2, 2): 2} >>> qm = model.quadratic_model(x, Q)