What is the importance of Omega notation in algorithm analysis?
Omega notation is used to describe the lower bound of an algorithm's running time, helping to understand its efficiency.
Can you give an example of how Omega notation is applied?
Sure! If an algorithm has a running time of at least n^2 for large n, we can say its Omega notation is Ω(n^2).
How does Omega notation differ from Big O notation?
While Big O notation describes the upper bound, Omega notation focuses on the lower bound, providing a complete picture of performance.
Why is it important to know both Omega and Big O notations?
Knowing both helps in analyzing algorithms comprehensively, ensuring you understand their best and worst-case scenarios.
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