Divide and Conquer Algorithms Quiz

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Questions and Answers

What is the time complexity of mergesort?

  • $\Theta(n \log n)$ (correct)
  • $\Theta(n)$
  • $\Theta(2^n)$
  • $\Theta(n^2)$

In the general Divide-and-Conquer recurrence $T(n) = aT(n/b) + f(n)$, what does the Master Theorem state when $a > bd$?

  • $T(n) \in \Theta(2^n)$
  • $T(n) \in \Theta(n^{\log_b a})$ (correct)
  • $T(n) \in \Theta(nd)$
  • $T(n) \in \Theta(n^{\log_b a} \log n)$

What is the time complexity of matrix multiplication using Strassen’s algorithm?

  • $\Theta(n^3)$
  • $\Theta(2^n)$
  • $\Theta(n^{\log_2 7})$ (correct)
  • $\Theta(n^2)$

If $T(n) = 4T(n/2) + n^2$, what is the time complexity according to the Master Theorem?

<p>$T(n) \in \Theta(n^2 \log n)$ (D)</p> Signup and view all the answers

What is the primary advantage of using Strassen’s algorithm for matrix multiplication?

<p>Improved time complexity compared to traditional algorithms (C)</p> Signup and view all the answers

Flashcards

Mergesort Time Complexity?

Mergesort has a time complexity of $\Theta(n \log n)$.

Master Theorem Condition: $a > b^d$?

If $a > b^d$ in $T(n) = aT(n/b) + f(n)$, then $T(n) \in \Theta(n^{\log_b a})$.

Strassen’s Algorithm Time Complexity?

Strassen’s algorithm for matrix multiplication has a time complexity of $\Theta(n^{\log_2 7})$.

If $T(n) = 4T(n/2) + n^2$, what is the time complexity?

According to the Master Theorem, $T(n) \in \Theta(n^2 \log n)$.

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Advantage of Strassen’s Algorithm?

Strassen’s algorithm reduces the number of multiplications, improving time complexity.

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Study Notes

Divide and Conquer Strategy

  • A well-known algorithm design strategy that involves dividing an instance of a problem into two or more smaller instances
  • Divide the problem into smaller instances
  • Solve the smaller instances recursively

Examples of Decrease by a Constant

  • Insertion sort
  • Topological sorting

Examples of Decrease by a Constant Factor

  • Binary search
  • Bisection method
  • Exponentiation by squaring
  • Multiplication

Examples of Variable-Size Decrease

  • Euclid’s algorithm
  • Selection by partition

Lecture Topics

Sorting Algorithms

  • Mergesort
  • Quicksort

Binary Tree Traversals

  • Applications and uses of binary tree traversals
  • Applications and uses of binary search

Multiplication of Large Integers

  • Importance and applications of multiplying large integers

Matrix Multiplication

  • Strassen’s algorithm for efficient matrix multiplication

Computational Geometry

  • Closest-pair algorithm
  • Convex-hull algorithms

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