(self, m, n)
return S, objective
Parameters
        ----------
        m, n : int
            Dimensions that of solution matrix
        Returns the objective function and a variable representing the
        solution to the convex optimization problem.
Parameters
        ----------
        m, n : int
            Dimensions that of solution matrix
        Returns the objective function and a variable representing the
        solution to the convex optimization problem.
Parameters ---------- m n : int Dimensions that of solution matrix Returns the objective function and a variable representing the solution to the convex optimization problem .
def _create_objective(self, m, n):
        """
        Parameters
        ----------
        m, n : int
            Dimensions that of solution matrix
        Returns the objective function and a variable representing the
        solution to the convex optimization problem.
        """
        # S is the completed matrix
        shape = (m, n)
        S = cvxpy.Variable(shape, name="S")
        norm = cvxpy.norm(S, "nuc")
        objective = cvxpy.Minimize(norm)
        return S, objective
def _create_objective ( self , m , n ) : # S is the completed matrix shape = ( m , n ) S = cvxpy . Variable ( shape , name = "S" ) norm = cvxpy . norm ( S , "nuc" ) objective = cvxpy . Minimize ( norm ) return S , objective