Practice Updating Heap Values (11.2.2) - Heaps and Dijkstra's Algorithm

Practice: Updating Heap Values

Lesson 11.2.2Heaps and Dijkstra's Algorithm

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8 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What time complexity do heaps allow for insertions?
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Think about the structure of a heap.
Question 2.
In a max-heap, how must the values relate between parent and child nodes?
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Consider how heaps are structured.
3Question 3.
What is the primary property of a max-heap?
- A: Parent nodes are smaller than their children
- B: Parent nodes are larger than their children
- C: Parent nodes and children are equal
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Visualize a heap.
4Question 4.
Dijkstra’s Algorithm requires how long to update the values in a heap?
- True
- False
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Consider the time complexities related to heaps.
Question 5.
Given a min-heap with the values [4, 10, 8, 20, 15], what is the structure of this heap after deleting the minimum value? Illustrate the heaps before and after the deletion.
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Always replace the root with a leaf and rebalance.
Question 6.
Consider a situation in Dijkstra’s algorithm where you need to update a vertex's distance. Describe the steps required to identify and adjust the heap accordingly.
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It's about tracking where the changes need to occur.

4 more questions in this section. Enroll free to practise them all.