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Complexity of an algorithm is the study of how long a program will take to run, depending on the size of its input & long of loops made inside the code

Specifically, the complexity of an algorithm is a measure of how long it takes to complete (give an answer) relative to increasing sizes of input data. Thus, complexity is not concerned with how long it took the algorithm to run using X amount of data. Rather, it is concerned with the relationship in runtime when using X amount of data, 2X amounts of data, 10X amounts of data, etc. While complexity usually refers to execution time, it can also be applied to other resource usage (for example, memory allocation). In all cases, complexity is concerned with the relationship between the rate of increase in resource consumption and the rate of increase of the size of the data set being worked on.

Complexity is closely related to the concepts of scalingand efficiency, but is NOT an exact equivalence to either.

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