One of the most important factors one needs to take into account when designing and implementing algorithms is the time complexity that is computed during algorithm analysis.

Time complexity corresponds to the amount of time required for an algorithm to run over the provided input in order to generate the required output. In this article, we are going through the most common functions which are useful in the context of algorithm analysis. Furthermore, some code examples are provided in order to help readers understand how these functions relate to common operations undertaken by the computer, as part of the execution of an algorithm.

Constant Function

This is probably the simplest function that is, for any argument n_, _constant function assigns value c.

The constant function

The constant function is useful when we need to count the number of basic operations executed by an algorithm. A few examples could be integer addition or subtraction and variable assignment or comparison.

## Examples of basic operations

x = 10
name = 'Andrew'
is_verified = True

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