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Insertion Sort Video Lecture | Algorithms - Computer Science Engineering (CSE)
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FAQs on Insertion Sort Video Lecture - Algorithms - Computer Science Engineering (CSE)
| 1. How does Insertion Sort work? |  |
Ans. Insertion Sort works by iterating through an array from left to right, comparing each element with the elements before it. It then places the element in its correct position within the sorted section of the array.
| 2. What is the time complexity of Insertion Sort? | |
Ans. The time complexity of Insertion Sort is O(n^2) in the worst-case scenario, where n is the number of elements in the array. This is because it involves nested loops for comparisons and shifting elements.
| 3. When is Insertion Sort a good choice for sorting data? | |
Ans. Insertion Sort is a good choice for sorting data when the input size is small, or the array is almost sorted. It is also efficient for sorting partially sorted arrays or arrays where elements are being added one at a time.
| 4. Can Insertion Sort be used for sorting linked lists? | |
Ans. Yes, Insertion Sort can be used for sorting linked lists. It involves rearranging the pointers of the nodes to sort the list. However, it may not be the most efficient choice for large linked lists due to the overhead involved in shifting pointers.
| 5. How does Insertion Sort compare to other sorting algorithms like Merge Sort and Quick Sort? | |
Ans. Insertion Sort is generally less efficient than Merge Sort and Quick Sort in terms of time complexity. While Merge Sort and Quick Sort have a time complexity of O(nlogn), Insertion Sort has a time complexity of O(n^2). However, Insertion Sort can be more efficient for small input sizes or nearly sorted arrays.
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Oct 24, 2024 Last updated |
Video Description: Insertion Sort for Computer Science Engineering (CSE) 2024 is part of Algorithms preparation.
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