Practice Algorithmic Design Techniques - 1.5.4 | 1. Welcome to the NPTEL MOOC on Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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1.5.4 - Algorithmic Design Techniques

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does it mean for an algorithm to be correct?

💡 Hint: Think about output consistency.

Question 2

Easy

Define asymptotic complexity.

💡 Hint: Focus on growth behavior.

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 asymptotic complexity used for?

  • Measuring algorithm speed
  • Verifying algorithm correctness
  • Sorting an array

💡 Hint: Consider how we compare algorithms.

Question 2

True or False: Greedy algorithms always guarantee the best solution.

  • True
  • False

💡 Hint: Think about their local vs global approach.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Propose a divide and conquer solution for finding the maximum element in an unsorted array. Explain how it would work.

💡 Hint: Think about dividing the problem into two smaller arrays.

Question 2

Create a scenario where a greedy algorithm would fail to find the optimal solution. Explain why it fails.

💡 Hint: Consider the context of making change.

Challenge and get performance evaluation