We know that if we iterate arithmetic and harmonic means of two numbers, we get their geometric mean.

So, basically if we need to compute the square root of $x$:

$$\sqrt{x}=\sqrt{1 \cdot x}=AHM(1,x)$$



As far as I know, this expression will converge for any real positive $x$. See this and this question for example.

We can take other initial values, for example $x/2$ and $2$, but taking $1$ is enough in most cases.

I know, the idea is so simple, it's obvious. But I did not find this method anywhere among the methods for computing square roots.

It seems even better than Newton's method, because

  • we do not need to think about initial values
  • we do not need to check our result by squaring, we only need to check that $a_n-b_n=0$ with required precision.

Examples (here equality means that the provided number of digits is the same):






As you can see, even for numbers not close to $1$, the convergence is good.

And I did not even have to check if my values are correct - I only needed to look at $a_n$ and $b_n$ and see which digits are the same.

Is this method used for computing roots along with Newton's method and others? If it is, could you provide a reference where it's discussed and compared to other methods? Will it always work in the way I described for any positive $x$?


This is essentially the same as the Babylonian method for computing square roots, which is itself the same as Newton's method using the function $f(t) = t^2 -x$. In particular, observe that $$ a_{n+1}b_{n+1} \,=\, \biggl(\frac{a_n+b_n}{2}\biggr)\biggl(\frac{2a_nb_n}{a_n+b_n}\biggr) \,=\, a_nb_n $$ and hence $a_nb_n = a_0b_0 = x$ for all $n$. Thus $$ a_{n+1} \,=\, \frac{a_n+b_n}{2} \,=\, \frac{a_n + \dfrac{x}{a_n}}{2}. $$

  • $\begingroup$ I see now. So this is exactly the same as if I started the iterations for Babylonian (Newton's) method with $1$ and used $a_n-x/a_n$ to check the number of correct digits. Thank you $\endgroup$ – Yuriy S Apr 9 '16 at 21:50

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