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Linear Search: Searching Made Easy

Updated: Jun 3


Algorithm


Linear search is one of the simplest searching algorithms. Linear search finds the target element by sequentially checking every element in the given input array. This is why linear search is sometimes also referred to as sequential search. Linear search works on both sorted and unsorted arrays.


For an input array arr and a target element lets say x, linear search does the following steps:

  1. Iterate through the input array from start to end (or end to start, traversal order does not matter).

  2. In each iteration compare the current element to the target element x.

  3. If current element is equal to the target element x, you have found the element you are looking for. Stop the iteration and return the current element index as result.

  4. If current element is not equal to x, continue to the next element and repeat the above steps until you find the target element or you have reached the end of the array. If the target element x is not found then return -1 as the result indicating the target value is not present in the given array.


Working


Consider the given input array is [3, 7, 1, 5, 11] and the target element x=1 as shown below:



Lets say i is our index variable. Linear search algorithm starts by checking the element at index 0, as shown in the below diagram.


Now the algorithm checks whether the current element arr[0] is equal the target element x. Clearly arr[0] is not equal to the target element x. So, the algorithm continues to the next element at index i=1 as shown below:


Again arr[1] is also not equal to the target element x. So our algorithm continues to the element at next index i=2.


Now the element at index 2, arr[2]=1. This is nothing but the target element we are looking for which means we have found our answer. So the algorithm returns 2 as the result indicating that the target element x is found at index 2 in the given array [3, 7, 1, 5, 11].


Implementation


Language: Go



Complexity Analysis


Time Complexity: O(n)


Time complexity of linear search algorithm is O(n). In the worst case our algorithm would end up comparing every element in the given input array to the target element x.


The worst case occurs if the target element is the last element in the input array or the target element itself is not present in the array.


Space Complexity: O(1)


The algorithm doesn't use any extra space.


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Applications


  1. Linear search is mostly used in cases where the size of the given input array is small. When the size of the array is large it is preferable to use other search algorithms like binary search which has a better time complexity than linear search.

  2. Unlike some other search algorithms like binary search, jump search, exponential search etc. which work only on sorted arrays, linear search works on both sorted and unsorted arrays. So linear search could be useful in this case. It is also important to note that for cases where the input array is not sorted, it might make sense to sort the array first and then search using faster algorithms like binary search. But if it is a frequently changing list, sorting every time and then sorting using binary search might not be worth it.


Output


You can test your code using the below code snippet:


Language: Go



Below is the result of test execution:



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