As I am an electrical engineer, who realized that he likes computer science much better than the stuff he learned at university for the last few years, I am in some kind of dilemma… But that is actually not that bad, as I can start to learn new things! :)
I bought a book about algorithms, just because I was confused all the time what
is this \(f(x) = O(g(x))\) stuff all about. I quickly found out, that I
pretty much suck at implementing (not to say understanding) algorithms. So, I
decided to start some "An Algorithm a Day" series as some kind of documentation
for my nightly activities in front of
Actually "An Algorithm a Day" is a lie, I can’t manage to understand and implement an algorithm every day. First, my girlfriend might kill me. Second, as I mentioned earlier, I currently suck at implementing algorithms; that’s the reason I require infinite time to implement something properly. Third, I have some kind of real life; I love cooking hanging around with friends and so on. So, dear reader, expect that "An Algorithm a Day" might become "An Algorithm a Week" or so.
Let’s start with some simple math stuff. I decided to do some computation in Python to get the factorial of a given number. The factorial is defined as such:
That’s pretty easy to implement in Python! Let’s just do it!
def factorial(n): res = 1 for i in range(1, n+1): res *= i return res
I also found out that this way of solving this problem is the so called iterative way. There is almost always another approach called recursion. We can define the factorial also in a recursive manner:
This means that we devide the problem into several problems of the same type; each distinct problem is simpler to solve as the whole problem. This is continued until the end condition, which in this case is \(n = 0\).
The Python code finally looks like this:
def factorial(n): if n == 0: return 1 if i > 0: return n * factorial(n-1)
Despite recursive algorithms seem to be the most elegant thing in the world of computing, they IMO suck. You can reach the max. recursion depth rather quickly:
In : f(2134123131) --------------------------------------------------------------------------- RecursionError Traceback (most recent call last) <ipython-input-5-98a27640969b> in <module>() ----> 1 f(2134123131) <ipython-input-4-ce7906f37218> in f(n) 3 return 1 4 if n > 0: ----> 5 return n * f(n-1) 6 7 ... last 1 frames repeated, from the frame below ... <ipython-input-4-ce7906f37218> in f(n) 3 return 1 4 if n > 0: ----> 5 return n * f(n-1) 6 7 RecursionError: maximum recursion depth exceeded in comparison