Why does Big O only care about the worst-case scenario?
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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More FAQs in What is Big O Notation? An Absolute Beginner's Guide
It measures the growth rate of an algorithm's execution time (or memory usage) relative to the size of the input data.
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.
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