Practice Textbooks - 1.8 | 1. Welcome to the NPTEL MOOC on Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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1.8 - Textbooks

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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of proving an algorithm's correctness?

💡 Hint: Consider what makes an algorithm reliable.

Question 2

Easy

Define asymptotic complexity in relation to algorithm efficiency.

💡 Hint: Think about how we compare algorithms.

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 does the Big O notation represent?

  • It measures efficiency.
  • It shows an algorithm is correct.
  • It helps with problem decomposition.

💡 Hint: Remember what we want to compare when looking at algorithms.

Question 2

True or False: A greedy algorithm always finds the global optimal solution.

  • True
  • False

💡 Hint: Consider examples where a greedy choice might backfire.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a problem where you have a list of numbers and need to find the median. Design an algorithm using both sorting and a divide and conquer approach, compare their efficiencies.

💡 Hint: Which algorithm would you prefer if you were given a much larger dataset?

Question 2

You need to design a web service that responds to a user query in less than a second. Analyze how your choice of data structure could affect your service's response time. Discuss alternatives if your initial choice is not optimized enough.

💡 Hint: What happens when your dataset grows very large?

Challenge and get performance evaluation