docs: def _lmder1_freudenstein_roth():
      """Freudenstein and Roth function (lmder1 test #7)"""
  
      def func(params, vec):
          vec[0] = -13 + params[0] + ((5 - params[1]) * params[1] - 2) * params[1]
          vec[1] = -29 + params[0] + ((1 + params[1]) * params[1] - 14) * params[1]
  
      def jac(params, jac):
          jac[0] = 1
          jac[1,0] = params[1] * (10 - 3 * params[1]) - 2
          jac[1,1] = params[1] * (2 + 3 * params[1]) - 14
  
      guess = np.asfarray([0.5, -2])
  
      _lmder1_driver(2, func, jac, guess,
                     0.200124960962e+02, 0.699887517585e+01,
                     [0.114124844655e+02, -0.896827913732e+00])
      _lmder1_driver(2, func, jac, guess * 10,
                     0.124328339489e+05, 0.699887517449e+01,
                     [0.114130046615e+02, -0.896796038686e+00])
      _lmder1_driver(2, func, jac, guess * 100,
                     0.11426454595762e+08, 0.699887517243e+01,
                     [0.114127817858e+02, -0.896805107492e+00])