Linear search is a simple searching algorithm that sequentially checks every element in a list until the desired element is found or the end of the list is reached.
Example: Suppose we have a list of numbers from 1 to 10 and we want to search for the number 7 in the list. We start at the first element and compare it with the desired element. If it’s not a match, we move on to the next element and continue the process until we find the element we’re looking for. In this case, we would start by checking the first element (1), then the second element (2), and so on until we reach the seventh element, which is the number 7 we were searching for. If the element is not found in the list, we eventually reach the end of the list and return with a “not found” message.
Answer: The worst-case time complexity of linear search algorithm is O(n), where ’n’ is the size of the array.
Answer: Linear search algorithm is a simple search algorithm that sequentially searches for a target value in an array or list by checking each element one at a time until a match is found.
Answer: Yes, linear search algorithm can be applied to sorted arrays, but it is not efficient. In sorted arrays, binary search algorithm is preferred.
Answer: Yes, linear search algorithm can be applied to linked lists, but it requires a different approach as there is no concept of index in linked lists.
Answer: The advantages of linear search algorithm are that it is simple and easy to implement. The limitations of linear search algorithm are that it is inefficient for large sized arrays and does not take advantage of any pre-existing order in the array.