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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define what a max heap is.
💡 Hint: Think about the order of elements in a tree.
Question 2
Easy
What operation is performed to maintain heap order when inserting a new element?
💡 Hint: Consider how you would move an element upwards in the heap.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
In a max heap, where is the maximum element located?
💡 Hint: If you think about the structure of heaps, where does the largest value naturally position itself?
Question 2
The time complexity of inserting an element into a heap is?
💡 Hint: Consider the height of the structure you're dealing with.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Construct a max heap from the list [5, 2, 9, 1, 6, 8, 3]. Detail each step.
💡 Hint: Start from the last non-leaf node and work your way up to build a proper structure.
Question 2
Explain why bottom-up heapification is more efficient than inserting elements one by one.
💡 Hint: Which process reduces the number of required swaps?
Challenge and get performance evaluation