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kreggscode on Instagram: "Ever wondered about the best-case scenario for an algorithm's performance? That's where Big Omega (Ω) notation comes in! While Big O notation gives us the upper limit (the ceiling), Big Omega reveals the lower bound (the floor). 🛡️ What does it actually mean? If we say an algorithm is Ω, we're stating that as the input size grows, the execution time will grow at least at that rate - a guarantee that the algorithm won't magically become faster than its fundamental logic
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kreggscode | An algorithm's time complexity is determined by its growth rate with larger inputs, commonly expressed in Big O notation like O(1), O(n),... | Instagram
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