Can you explain what Big Omega notation is?
Sure! Big Omega notation, denoted as Ω, describes the lower bound of an algorithm's running time.
How is it different from Big O notation?
While Big O notation provides an upper bound, Big Omega gives a lower bound, indicating the best-case scenario.
Can you give me an example of Big Omega notation?
Certainly! If an algorithm takes at least n² time to complete, we can say its time complexity is Ω(n²).
Why is Big Omega notation important in algorithm analysis?
It's important because it helps us understand the minimum performance of an algorithm, ensuring it meets efficiency requirements.
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