Discussion Forum on time complexity, self referential structure (Week 2)

week 2

week 2

by Topu Raihan -
Number of replies: 0

Ans To The Q No 1 :-


The time complexity of an algorithm is the total amount of time required by an algorithm to complete its execution. ... The time taken by any piece of code to run is known as the time complexity of that code. The lesser the time complexity, the faster the execution.

Ans To The Q No 2 :-


At first I wanted to say that this code has some bug.

These are :-----

In line 3:- we have to declare i .
· In line 6:- before counter we have to also put for .
· In line 14:- we have to put ; in last printf (“hello”) ;


In first for loop we can say it’s = 0 (n+1)

Then in 2nd step we see that here is 3 nested for loop so this answer is = n*n= 0 (n2) .

Final result is = 0(n+1) + 0(n2) = 0 (n2) [ lower power finish ]

The time complexity n2