Test

Author: jarrodmillman

advanced/mathematical_optimization/index.rst

@@ -884,7 +884,7 @@ Lets try to minimize the norm of the following vectorial function::
     >>> def f(x):
     ...     return np.arctan(x) - np.arctan(np.linspace(0, 1, len(x)))
 
-    >>> x0 = np.zeros(10)
+    >>> x0 = np.zeros(10.)
     >>> sp.optimize.leastsq(f, x0, full_output=True)
     (array([0.        , 0.11111111, 0.22222222, 0.33333333, 0.44444444,
            0.55555556, 0.66666667, 0.77777778, 0.88888889, 1.        ]), 2)