Recall & Review
beginner
What is the main idea behind the Heap sort algorithm?
Heap sort uses a special tree structure called a heap to sort elements. It builds a heap from the data, then repeatedly removes the largest (or smallest) item and rebuilds the heap until all items are sorted.
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beginner
What type of heap is typically used in Heap sort to sort in ascending order?
A max-heap is used. It keeps the largest element at the root, so the algorithm can remove the largest element first and place it at the end of the sorted list.
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intermediate
What is the time complexity of Heap sort in the average and worst cases?
Heap sort runs in O(n log n) time for both average and worst cases, where n is the number of elements to sort.
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intermediate
How does Heap sort differ from Quick sort in terms of memory usage?
Heap sort is an in-place sorting algorithm, meaning it sorts the data without needing extra space. Quick sort also sorts in-place but can use more stack space due to recursion.
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intermediate
Why is Heap sort considered a stable or unstable sorting algorithm?
Heap sort is generally considered unstable because it can change the relative order of equal elements during the heap building and sorting process.
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What data structure does Heap sort use to organize elements?
✗ Incorrect
Heap sort uses a heap, a special tree-based structure, to organize elements for sorting.
Which heap type is used in Heap sort to sort elements in ascending order?
✗ Incorrect
Heap sort uses a max-heap to keep the largest element at the root for sorting in ascending order.
What is the worst-case time complexity of Heap sort?
✗ Incorrect
Heap sort always runs in O(n log n) time, even in the worst case.
Is Heap sort a stable sorting algorithm?
✗ Incorrect
Heap sort is generally unstable because it can change the order of equal elements.
Which of these is a key advantage of Heap sort over Quick sort?
✗ Incorrect
Heap sort is in-place and uses less extra memory compared to Quick sort, which can use more stack space.
Explain how Heap sort uses a heap to sort an array step-by-step.
Think about how the largest element moves to the end each time.
You got /5 concepts.
Compare Heap sort with Quick sort in terms of time complexity, memory use, and stability.
Focus on differences in performance and behavior.
You got /5 concepts.