Update gradient in the order in which parameters are represented in the
        kernel

def sde_update_gradient_full(self, gradients):
        """
        Update gradient in the order in which parameters are represented in the
        kernel
        """
        part_start_param_index = 0
        for p in self.parts:
            if not p.is_fixed:
                part_param_num = len(p.param_array) # number of parameters in the part
                p.sde_update_gradient_full(gradients[part_start_param_index:(part_start_param_index+part_param_num)])
                part_start_param_index += part_param_num