10 Questions
Heap sort is a comparison-based sorting technique based on Binary Search Tree data structure.
False
In Heap Sort, the minimum element is placed at the end of the array during each iteration.
False
The time complexity of Heap Sort is O(n^2) in all cases.
False
Heap Sort maintains good performance even with a large number of elements due to the log n factor from the height of the binary heap.
True
To solve the problem using Heap Sort, first convert the array into a queue data structure.
False
Bubble Sort is the most efficient sorting algorithm for large data sets.
False
Bubble Sort is a stable sorting algorithm.
True
Bubble Sort requires additional memory space to execute.
False
Bubble Sort compares adjacent elements and places the higher one at the left side.
False
The worst-case time complexity of Bubble Sort is O(N^2).
True
Learn about the comparison-based sorting technique based on the Binary Heap data structure where the minimum element is found and placed at the beginning before repeating the process for the remaining elements. Explore the step-by-step Heap Sort algorithm.
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