Practice Value Property (36.4.2) - Priority queues and heaps - Part A - Data Structures and Algorithms in Python
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Value property

Practice - Value property

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What operation adds a new element to a priority queue?

💡 Hint: This operation involves putting your new job into the list.

Question 2 Easy

What property must a max heap maintain?

💡 Hint: Think of the hierarchy in a family tree.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a priority queue rely on to serve elements?

Arrival time
Assigned priority
Random selection

💡 Hint: Remember how urgent tasks are handled.

Question 2

True or False: In a max heap, every parent node must have a value greater than its children.

True
False

💡 Hint: Consider the hierarchy within a family.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a priority queue to schedule tasks in a CPU. Explain how insertion and deletion manage priorities effectively.

💡 Hint: Think about real-time urgency in task management.

Challenge 2 Hard

Construct a binary tree that both adheres to the structural heap property and violates the max heap property. Explain the violation.

💡 Hint: Remember the relationships between parent and child.

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Reference links

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