Finding rational approximations to real numbers may help us simplify calculations in every day life, because using

makes back-of-the-envelope estimations much easier. It also may have some application in programming, when your CPU is kind of weak and do not deal well with floating point numbers. Floating point numbers emulated in software are very slow, so if we can dispense from them an use integer arithmetic, all the better.

However, finding good rational approximations to arbitrary constant is not quite as trivial as it may seem. Indeed, we may think that using something like

will be quite sufficient as it will give you 6 digits precision, but why use 3141592/1000000 when 355/113 gives you *better* precision? Certainly, we must find a better way of finding approximations that are simultaneously precise and … well, let’s say *cute*. Well, let’s see what we could do.