Practice In-place Sorting with Heaps - 11.4.2 | 11. Heaps and Dijkstra's Algorithm | Design & Analysis of Algorithms - Vol 2
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In-place Sorting with Heaps

11.4.2 - In-place Sorting with Heaps

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a heap?

💡 Hint: Think of its structure and its properties.

Question 2 Easy

How is 'delete max' performed?

💡 Hint: What do you do with the last element?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of extracting the maximum value in a heap?

O(n)
O(log n)
O(1)

💡 Hint: Think about how many levels are in a binary tree.

Question 2

True or False: The heap sort algorithm requires additional storage.

True
False

💡 Hint: Recall how heap sort maintains its structure.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Propose an outline for implementing an in-place heap sort algorithm from scratch. Highlight key steps.

💡 Hint: Focus on the transition steps between building the heap and extracting elements.

Challenge 2 Hard

How would you modify a traditional heap to allow for dynamic priority changes without losing the heap properties? Describe your approach.

💡 Hint: Reflect on Dijkstra’s algorithm and its need for efficient updates.

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Reference links

Supplementary resources to enhance your learning experience.