Why does the industry only talk about Big O?
Engineers prioritize system stability. By focusing exclusively on the worst-case upper bound (Big O), they guarantee that servers will not crash under maximum load.
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More FAQs in Big O vs Big Omega vs Big Theta Explained
Big O defines the absolute upper limit (worst-case), meaning the algorithm could be faster. Big Theta defines a tight bound, meaning the algorithm's best and worst cases scale identically.
Merge Sort always divides and merges the array completely, regardless of the data arrangement. Its best case (Big Omega) is Ω(N log N).
Yes. If an algorithm takes exactly N steps (Theta), then it mathematically also takes 'at most' N steps (Big O).
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