Recursion Tree Method for T(n) Analysis

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Questions and Answers

What is the first step in applying the recursion tree method to the recurrence $T(n) = 2T(\frac{n}{2}) + 4n$?

  • Draw the recursion tree. (correct)
  • Estimate the height of the tree.
  • Identify the base case.
  • Calculate the total contributions from leaf nodes.

What is the contribution from the leaves at the bottom of the recursion tree for $T(n) = 2T(\frac{n}{2}) + 4n$?

  • $4n$
  • $4n^{\log_2 2}$
  • $4n^2$
  • $4n \log n$ (correct)

How does one compute the height of the recursion tree for the recurrence $T(n) = 2T(\frac{n}{2}) + 4n$?

  • $\log n$ (correct)
  • $n$
  • $\frac{n}{2}$
  • $2n$

What characterizes the expansion of the recursion tree for $T(n) = 2T(\frac{n}{2}) + 4n$?

<p>Each level doubles the number of recursive calls. (A)</p> Signup and view all the answers

What is the total time complexity for the recurrence $T(n) = 2T(\frac{n}{2}) + 4n$ after applying the recursion tree method?

<p>$O(n \log n)$ (D)</p> Signup and view all the answers

Flashcards

Recurrence Relation

An equation that defines a function in terms of its own previous values.

T(n)

A function that represents the time complexity of an algorithm.

Divide-and-conquer

Algorithm design technique. Breaking a problem into smaller subproblems, recursively solving them, and combining the results.

2T(n/2)

Recursive part of the recurrence. It represents solving two subproblems of half the size.

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4n

Non-recursive part of the recurrence. Represents the time taken to divide the problem and combine the solutions.

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Study Notes

Example 1 - Recursion Tree Method

  • Solve the recurrence relation: T(n) = 2T(n/2) + 4n

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