Summary Asymptotic Notations: Big O, Big Omega and Big Theta

Asymptotic Notations: Big O, Big Omega and Big Theta Explained (With Notes)


We 'll talk a little bit about asymptotic notation. we talked about order. We talked about
ordering. We have primarily 3 types of asymptic notation big O, big Theta (Θ ) and big Omega
(Ω) big O is represented by capital (O), which is in our English. Big O is set to be O ( g ( n ) ) if and
only if there exist a constant ( c ) and a constant n -node such that 0 ≤ f ( n) ≤ cg (n) is O (g (N) If
you watch this video completely then I guarantee that you will understand these three
notations. Mathematically, mathematically this function can be anything. When we do analysis
of algorithms comparing any 2 algorithms then f ( n ) will be time and what is n , it 's input ok ,
size of input. G ( n) is your function which will come inside the big O. O ( n²) is Anything Can Be
Algorithm it is g (n) that will be here and which is your algorithm. If you guys can find any such
constant ( C ) and ( n ) -node , then f ( n) is O ( g ( n)" This is the mathematical definition of big
O. If you ca n't find it then its is not f (n ) is O. This question is its own truth , it has validity , it
will remain valid.