Practice Using Heaps for Sorting - 11.1.2 | 11. Heaps and Dijkstra's Algorithm | Design & Analysis of Algorithms - Vol 2
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a heap?

💡 Hint: Think about the relationships between parents and children in the structure.

Question 2

Easy

What is the time complexity for building a heap?

💡 Hint: Remember the steps involved in creating the heap from an array.

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 primary use of heaps?

  • To sort data
  • To store elements in a linear fashion
  • To implement priority queues
  • To represent graphs

💡 Hint: Consider how you would prioritize tasks in real-life applications.

Question 2

True or False: Heap sort has a time complexity of O(n^2).

  • True
  • False

💡 Hint: Recall how sorting with heaps operates compared to other methods.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the array [10, 15, 30, 5, 20, 25], build a max heap and explain each step in the process.

💡 Hint: Focus on where swaps may occur.

Question 2

Devise a scenario where heaps can significantly improve performance compared to sorting methods like bubble sort.

💡 Hint: Think about how often data changes and how fast you need that information.

Challenge and get performance evaluation