Linear Search C++ Example

What is linear search?

Linear search is used to find a particular element in a list or collection of items.

Target element is compared sequentially with each element of a collection until it is found. Otherwise it will traverse through that list until it reaches to the end of the list.

Time and Space Complexity :

Linear search in C to find whether a number is present in an array. If it's present, then at what location it occurs. It is also known as a sequential search. It is straightforward and works as follows: we compare each element with the element to search until we find it or the list ends. Linear search for multiple occurrences and using a function. In this C program we have to search an element in a given array using linear search algorithm. If given element is present in array then we will print it's index otherwise print a message saying element not found in array. For Example: Input Array: 2, 8, 4, 2, 14, 10, 15 Element to search. #include using namespace std; template void Lsearch(T.a, T item, int n) int z=0; for(int i=0;i. Code can be found at Concepts: Linear Search Algorithm Pros/Cons of Linear Search Linear Search is good for small lists/arrays L. Linear Search Algorithm with C Code Data Structures & Algorithms June 18, 2019 Tanmay Sakpal 0 Comments algorithm, data structures, linear search, sequential search In computer science, a linear search algorithm or sequential search is a method for finding an element within a list.

Binary Search C++

Best Time Complexity: O(1)
Average Time Complexity: O(n)
Worst Time Complexity: O(n)
Best Space Complexity: O(1)

Example:

Consider the following list of 5 numbers: 21, 34, 5, 47, 11 . We need to find whether number 47 is present in the list or not.

As per linear search algorithm, we will check if our target number i.e. 47 is equal to each number in the list, starting from the first number in the list.

In this case, we will get the result when we reach number 47 in the list at index 3 (Zero-based indexing).

Pseudo code for linear search:

Furthermore check out the animation here to learn linear search concept in easy way.

So what do you mean by best case for time complexity?

Well, the best scenario would be to have that item in the first position. Therefore, if the item you are searching for is always listed first, you will find your item in an instant, regardless of your list size.

And what about worst case?

In contrast, when the item is present at last position, you need to traverse through entire list containing n items until you reach the end of the list.