Practice Week 5: Divide and Conquer and Heaps - 1.6.5 | 1. Welcome to the NPTEL MOOC on Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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1.6.5 - Week 5: Divide and Conquer and Heaps

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does divide and conquer mean?

💡 Hint: Think about problem-solving strategies.

Question 2

Easy

Name a sorting algorithm that uses divide and conquer.

💡 Hint: Consider sorting methods.

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 divide and conquer strategy entail?

  • Breaking down into overlapping problems
  • Breaking down into smaller non-overlapping problems
  • Randomly guessing

💡 Hint: Remember the essential method of this strategy.

Question 2

True or False: Heaps can be used to implement priority queues.

  • True
  • False

💡 Hint: Think about data structures that manage prioritization.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a divide and conquer algorithm to find the closest pair of points in a set of 2D points. Explain your steps.

💡 Hint: Think about how you would manage the space efficiently.

Question 2

Propose modifications to heaps to accommodate dynamic data that rapidly changes. How would this impact performance?

💡 Hint: Consider how you would keep track of the heap’s structure.

Challenge and get performance evaluation