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Linear Search in Data Structure: Time Complexity Video Lecture | Crash Course: Computer Science Engineering (CSE)
FAQs on Linear Search in Data Structure: Time Complexity Video Lecture - Crash Course: Computer Science Engineering (CSE)
| 1. What is linear search in data structure? |  |
Ans. Linear search is a simple searching algorithm used to find a specific element in a list or array. It sequentially checks each element of the list/array until a match is found or the end of the list/array is reached.
| 2. What is the time complexity of linear search? | |
Ans. The time complexity of linear search is O(n), where 'n' is the number of elements in the list/array. This means that the time taken to search for an element increases linearly with the size of the list/array.
| 3. How does linear search work? | |
Ans. Linear search works by starting from the first element of the list/array and comparing it with the target element. If a match is found, the search is successful. If not, the search continues to the next element until either a match is found or the end of the list/array is reached.
| 4. When should linear search be used? | |
Ans. Linear search is best suited for small lists/arrays or when the list/array is unsorted. It is a simple and easy-to-implement algorithm that does not require the data to be sorted beforehand.
| 5. Are there any advantages of using linear search? | |
Ans. The main advantage of linear search is its simplicity and ease of implementation. It can be used for both sorted and unsorted lists/arrays, and it works well for small datasets. Additionally, linear search does not require any additional data structures, making it memory-efficient. However, for larger datasets or when efficiency is a concern, other search algorithms like binary search are more suitable.
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