lol you are awesome but to break it down for you a circuit inter-putter is is a plug in the is on the floor i have 2 of these in my home. i hope this helps you Mr. w t fer lol hahahaha XD
Big-O notation is a way to describe a function that represents the n amount of times a program/function needs to be executed.
(I'm assuming that := is a typo and you mean just =, by the way)
In your case, you have two loops, nested within each other, and both loop to n (inclusive, meaning, that you loop for when i or j is equal to n), and both loops iterate by 1 each loop.
This means that both loops will therefore execute an n amount of times. Now, if the loops were NOT nested, our big-O would be O(2n), because 2 loops would run an n amount of times.
HOWEVER, since the j-loop is nested within i-loop, the j-loop executes every time the i-loop <span>ITERATES.
</span>
As previously mentioned, for every i-loop, there would be an n amount of executions. So if the i-loop is called an n amount of times by the j loop (which executes n times), the big-O notation would be O(n*n), or O(n^2).
(tl;dr) In basic, it is O(n^2) because the loops are nested, meaning that the i-loop would be called n times, and for each iteration, it would call the j-loop n times, resulting in n*n runs.
A way to verify this is to write and test program the above. I sometimes find it easier to wrap my head around concepts after testing them myself.
Explanation:
The working directory is just a file path on your computer that sets the default location of any files you read. If you want to read a file 'file.txt'.
The standard for internal text coding system is called Unicode (Encoding, representation and handling text). Nearly every operating system uses this. The basic reason for choosing Unicode for converting binary to text is because this is compatible with almost every language in the world making it popular. Although there are other ways to do this, Unicode stays popular of all.
It’s 12 because 3 times 4 is twelve, hope i helped!
