This document discusses asymptotic notation, which is used to express the time and space complexity of algorithms. There are three main types of asymptotic notation: Big Oh (O) notation provides an upper bound for the growth rate of a function; Big Omega (Ω) notation provides a lower bound; and Big Theta (Θ) notation provides both an upper and lower bound, describing the exact growth rate of a function asymptotically. Asymptotic notation is used because the exact time and space requirements of an algorithm cannot be determined and can only be expressed as a function grows relative to the input size.

1. Topic:Asymptotic Notation
Big Oh(O), Big Omega(Ω), Big Theta(θ)

2. Topic to be discussed

3. Asymptotic Notation
 When it comes to analysing the complexity
and performance of any algorithm in terms of
time and space, we can never provide an
exact number to define the time required
and the space required by the algorithm
,instead we express it using some standard
notations, also known as Asymptotic
Notation.

4. Type of Asymptotic Notation

5. Big Oh (o)

6. Big Omega(Ω)

8. Thank you