gradient_feasibility

compas_tno.problems.gradient_feasibility(variables, M)[source]

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

Parameters

  • variables (array (k x 1)) – Variables to pass to the function.

  • M (Problem) – The class with necessary matrices, or arguments, to compute the objective function

Returns

grad (array (k x 1)) – The gradient of the objective function in the point. Represents the sensitivity of each variable in the objective function value.