Times complexity theory

How many times of time complexity are there?
There are five types of Time complexity Cases: Constant Time Complexity - O(.
1. Logarithmic Time Complexity - O(log n) Linear Time Complexity - O(n)
What is meant by time complexity?
time complexity, a description of how much computer time is required to run an algorithm.
In computer science, time complexity is one of two commonly discussed kinds of computational complexity, the other being space complexity (the amount of memory used to run an algorithm)..
Why are time and space complexities important?
Time and Space complexities are important concepts in data structures and algorithms.
These complexities are calculated to find the efficient algorithm which uses less time to execute in the least memory space possible..
In constant time complexity, the algorithm will take the same amount of time to run regardless of how large the input size is.
It is an essential property because as long as you have enough memory, you should be able to process any input size reasonably.

How many times of time complexity are there?