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Linear Search Algorithm

Last Updated : 2 Apr, 2026

Given an array, arr[] of n integers, and an integer element x, find whether element x is present in the array. Return the index of the first occurrence of x in the array, or -1 if it doesn't exist.

Input: arr[] = [1, 2, 3, 4], x = 3
Output: 2
Explanation: There is one test case with array as [1, 2, 3 4] and element to be searched as 3. Since 3 is present at index 2, the output is 2.

Input: arr[] = [10, 8, 30, 4, 5], x = 5
Output: 4
Explanation: For array [10, 8, 30, 4, 5], the element to be searched is 5 and it is at index 4. So, the output is 4.

Input: arr[] = [10, 8, 30], x = 6
Output: -1
Explanation: The element to be searched is 6 and its not present, so we return -1.

In Linear Search, we iterate over all the elements of the array and check if it the current element is equal to the target element. If we find any element to be equal to the target element, then return the index of the current element. Otherwise, if no element is equal to the target element, then return -1 as the element is not found. Linear search is also known as sequential search.

For example: Consider the array arr[] = {10, 50, 30, 70, 80, 20, 90, 40} and key = 30

Implementation:


Output
Present at Index 3

Time and Space Complexity of Linear Search Algorithm:

Time Complexity:

  • Best Case: In the best case, the key might be present at the first index. So the best case complexity is O(1)
  • Worst Case: In the worst case, the key might be present at the last index i.e., opposite to the end from which the search has started in the list. So the worst-case complexity is O(N) where N is the size of the list.
  • Average Case: O(N)

Auxiliary Space: O(1) as except for the variable to iterate through the list, no other variable is used. 

Applications of Linear Search Algorithm:

  • Unsorted Lists: When we have an unsorted array or list, linear search is most commonly used to find any element in the collection.
  • Small Data Sets: Linear Search is preferred over binary search when we have small data sets with
  • Searching Linked Lists: In linked list implementations, linear search is commonly used to find elements within the list. Each node is checked sequentially until the desired element is found.
  • Simple Implementation: Linear Search is much easier to understand and implement as compared to Binary Search or Ternary Search.
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