Understanding Time Complexity and Big O Notation (Day 1)

What is Time Complexity?

A way to measure the size of an algorithm.

A way to describe how long an algorithm takes to run as the size of the input increases.

A way to measure the speed of a computer.

What does O(1) represent in Time Complexity?

The time taken by an algorithm increases linearly with the size of the input B.

The time taken by an algorithm does not depend on the size of the input

The time taken by an algorithm increases exponentially with the size of the input

Why is Time Complexity important?

It helps us choose the most efficient algorithm for our tasks.

It helps us to write longer codes.

It helps us to slow down our code.

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