gradient_feasibility

compas_tno.problems.gradient_feasibility(variables, M)

Sensitivity of the feasibility objective function, which returns a null vector.

Parameters:

variablesarray (k x 1)

Variables to pass to the function.

MProblem

The class with necessary matrices, or arguments, to compute the objective function

Returns:

gradarray (k x 1)

The gradient of the objective function in the point. Represents the sensitivity of each variable in the objective function value.