def provideJ(self):
        
        df_dx = 2.0*self.x - 6.0 + self.y
        df_dy = 2.0*self.y + 8.0 + self.x
    
        return array([[df_dx, df_dy]])
Caculate and return the Jacobian
dataset/ETHPy150Open OpenMDAO/OpenMDAO-Framework/examples/openmdao.examples.simple/openmdao/examples/simple/paraboloid_derivative.py/ParaboloidDerivative.provideJ