Question

Difference between capital omega and small omega notation used to represent the complexity use the growth function concept with two example in algorithm

Answer 1

Answer:

In order to define the time complexity in algorithms of asymptotic analysis, these three notations are used.

Big O: The upper bound of algorithm is represented by Big O notation. Only the above function is bounded by Big O. The asymptotic upper bond is given by Big O notation.

Theta: The bonding of function from above and below is represented by theta notation. The exact asymptotic behavior is done by this theta notation.

Omega: The algorithm's lower bound is represented by Omega notation. The asymptotic lower bond is given by Omega notations