What exactly does Big O Notation measure?
It measures the growth rate of an algorithm's execution time (or memory usage) relative to the size of the input data.
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More FAQs in What is Big O Notation? An Absolute Beginner's Guide
Because execution time in seconds fluctuates based on hardware, background processes, and programming language. Big O measures operations, which is a universal constant.
It stands for 'Order of magnitude', representing the upper bound (worst-case scenario) of the algorithm's complexity.
In software engineering, systems must be designed to survive worst-case data loads without crashing. Optimizing for the worst case guarantees system stability.
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