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Big-O Notation : Understanding Algorithm Efficiency

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

Why should you care? You can write a program that works perfectly and still have a serious problem: it might be too slow when the input becomes large. Consider two algorithms that search for an element. Algorithm A takes: 10 operations for 10 elements 100 operations for 100 elements 1,000 operation…

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  1. 2026-09-10 10:57 · DEV Community — AI
    Big-O Notation : Understanding Algorithm Efficiency

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