Practice Searching and Sorting - 1.5.2 | 1. Welcome to the NPTEL MOOC on Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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1.5.2 - Searching and Sorting

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is linear search?

💡 Hint: Think about how you would look for a name in a phone book.

Question 2

Easy

Explain how binary search works.

💡 Hint: Remember, it only works on sorted arrays.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the best-case time complexity of binary search?

  • O(n)
  • O(log n)
  • O(1)

💡 Hint: Think of the scenario when the item is exactly in the middle of the array.

Question 2

True or False: Selection sort is more efficient than merge sort for larger datasets.

  • True
  • False

💡 Hint: Consider the complexities as datasets grow larger.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given an unsorted array, implement and demonstrate the execution of quicksort. Discuss its time complexity and efficiency compared to other sorting methods.

💡 Hint: Focus on randomizing the pivot selection to improve performance on average.

Question 2

Create a program that implements both binary search and linear search. Test both methods with different input sizes and analyze their performance.

💡 Hint: Utilize sorted and unsorted arrays for testing to highlight the differences.

Challenge and get performance evaluation