Practice Efficiency of Algorithms - 1.2.2 | 1. Welcome to the NPTEL MOOC on Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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1.2.2 - Efficiency of Algorithms

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define Big O notation.

💡 Hint: Think about how we express algorithm efficiency.

Question 2

Easy

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

💡 Hint: Consider the impact of incorrect 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 Big O notation measure?

  • Time complexity
  • Space complexity
  • Both

💡 Hint: Consider how Big O is defined.

Question 2

True or False: All greedy algorithms provide an optimal solution.

  • True
  • False

💡 Hint: Consider examples where greedy does not yield the best result.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Propose an algorithm that uses the greedy approach to solve the change-making problem. Discuss its efficiency and potential drawbacks.

💡 Hint: Consider coin denominations and how greedy selection might lead to suboptimal solutions.

Question 2

Given an array, devise a divide and conquer algorithm to find the maximum element. Explore the time complexity of your solution.

💡 Hint: Reflect on how you are breaking the problem down into smaller pieces.

Challenge and get performance evaluation