MHB Solving Recurrence Relations Using Master Theorem/Akra-Bazzi

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The Master Theorem is a method for analyzing the time complexity of divide-and-conquer algorithms, providing a straightforward way to solve recurrence relations of the form T(n) = aT(n/b) + f(n). For the first recurrence, T(n) = 3T([n/3]) + n, it can be solved using the Master Theorem, yielding T(n) = Θ(n). The second recurrence, T(n) = T([n/4]) + T([n/3]) + n, does not fit the Master Theorem's criteria and should be approached with the Akra-Bazzi method. The third recurrence, T(n) = 2T([n/4]) + √n, can also be solved using the Master Theorem, resulting in T(n) = Θ(n^0.5). Understanding these theorems is crucial for efficiently solving recurrence relations in algorithm analysis.
vapatel
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first state whether it can be solved using the Master Theorem, and if it can then use that. Otherwise, use the Akra-Bazzi formula.

1. T(n) = 3T([n/3])+n

2. T(n) = T([n/4])+T([n/3])+n

3. T(n) = 2T([n/4])+√n
 
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Okay, what is the "master theorem" and what is the "Akra-Bazzi theorem"?
 
First trick I learned this one a long time ago and have used it to entertain and amuse young kids. Ask your friend to write down a three-digit number without showing it to you. Then ask him or her to rearrange the digits to form a new three-digit number. After that, write whichever is the larger number above the other number, and then subtract the smaller from the larger, making sure that you don't see any of the numbers. Then ask the young "victim" to tell you any two of the digits of the...

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