Question

I have gone through Google and Stack Overflow search, but nowhere I was able to find a clear and straightforward explanation for how to calculate time complexity.

What do I know already?

Say for code as simple as the one below:

char h = 'y'; // This will be executed 1 time
int abc = 0; // This will be executed 1 time

Say for a loop like the one below:

for (int i = 0; i < N; i++) {
    Console.Write('Hello, World!!');
}

• int i=0; This will be executed only once.

The time is actually calculated to i=0 and not the declaration.

• i < N; This will be executed N+1 times
• i++ This will be executed N times

So the number of operations required by this loop are {1+(N+1)+N} = 2N+2. (But this still may be wrong, as I am not confident about my understanding.)

OK, so these small basic calculations I think I know, but in most cases I have seen the time complexity as O(N), O(n^2), O(log n), O(n!), and many others.

Answer 1

How to find time complexity of an algorithm

You add up how many machine instructions it will execute as a function of the size of its input, and then simplify the expression to the largest (when N is very large) term and can include any simplifying constant factor.

For example, lets see how we simplify 2N + 2 machine instructions to describe this as just O(N).

Why do we remove the two 2s ?

We are interested in the performance of the algorithm as N becomes large.

Consider the two terms 2N and 2.

What is the relative influence of these two terms as N becomes large? Suppose N is a million.

Then the first term is 2 million and the second term is only 2.

For this reason, we drop all but the largest terms for large N.

So, now we have gone from 2N + 2 to 2N.

Traditionally, we are only interested in performance up to constant factors.

This means that we don’t really care if there is some constant multiple of difference in performance when N is large. The unit of 2N is not well-defined in the first place anyway. So we can multiply or divide by a constant factor to get to the simplest expression.

So 2N becomes just N.