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Insertion sort Video Lecture | Basics of C++ - Software Development

FAQs on Insertion sort Video Lecture - Basics of C++ - Software Development

1. What is the basic principle of insertion sort?

Ans.Insertion sort works by dividing the array into a sorted and an unsorted section. It iteratively takes an element from the unsorted section and places it into the correct position within the sorted section, thereby growing the sorted section one element at a time.

2. What are the time complexity and space complexity of insertion sort?

Ans.The time complexity of insertion sort is O(n^2) in the average and worst-case scenarios, where n is the number of elements in the array. The best-case scenario is O(n) when the array is already sorted. The space complexity is O(1) since it is an in-place sorting algorithm.

3. In which scenarios is insertion sort the most efficient?

Ans.Insertion sort is most efficient for small datasets or nearly sorted arrays. Its performance improves significantly when the elements are already in order or only a few elements are out of place, making it a good choice for small lists or as a part of more complex algorithms like Timsort.

4. How does insertion sort compare to other sorting algorithms like quicksort and mergesort?

Ans.Insertion sort is generally less efficient than quicksort and mergesort for larger datasets due to its O(n^2) time complexity. However, it has lower overhead and can be faster for small or nearly sorted datasets. Insertion sort is also more straightforward to implement and understand.

5. Can insertion sort be used for linked lists, and if so, how?

Ans.Yes, insertion sort can be used for linked lists. The algorithm involves iterating through the linked list, removing each node, and inserting it into its correct position in a new sorted linked list. This process maintains the sorted order as nodes are added.

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Oct 06, 2025 Last updated

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	Basics of C++ 71 videos\|48 docs\|15 tests

Basics of C++

71 videos|48 docs|15 tests

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