Runtime comparisons refer to the analysis and evaluation of the efficiency and speed of different algorithms or programs during execution.
Imagine you have two friends who are competing in a race. The runtime comparison is like timing how long it takes each friend to complete the race, so you can determine who is faster.
Big O Notation: It is a way to describe the performance or efficiency of an algorithm by analyzing its growth rate as the input size increases.
Time Complexity: It measures how much time an algorithm takes to run as a function of the input size.
Space Complexity: It measures how much memory an algorithm uses as a function of the input size.
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