What is the Master Theorem in algorithm analysis?
The Master Theorem provides a method for analyzing the time complexity of divide-and-conquer algorithms.
Can you give me an example of how to apply the Master Theorem?
Sure! Consider the recurrence T(n) = 2T(n/2) + n. Here, a=2, b=2, and f(n)=n.
How do I determine which case of the Master Theorem to use?
You compare f(n) with n^(log_b(a)). If f(n) grows polynomially faster, you use case 3; otherwise, use case 1 or 2.
What are the cases of the Master Theorem?
There are three cases: 1) f(n) is polynomially smaller, 2) f(n) is asymptotically equal, and 3) f(n) is polynomially larger.
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