In this tutorial, you will learn about the **linear search**. Likewise, you will discover working instances of linearsearch C, C++, Java, and Python.

Contents

## What is Linear Search?

A LinearSearch is the most fundamental type of searching algorithm. A LinearSearch consecutively travels through your assortment (or data structure) searching for a coordinating value. All in all, it looks down a list, one item at a time, without jumping.

Consider it a method of finding your way in a phonebook. A LinearSearch is beginning toward the start, reading each name until you find what you’re searching for. n complexity terms this is an O(n) search – the time taken to search the list gets bigger at a similar rate as the list does.

Linear search is the least difficult searching algorithm that searches for an element in a list in consecutive order. We start toward one side and check each element until the desired element isn’t found.

## How Linear Search Works?

The accompanying steps are followed to search for an element k = 1 in the list underneath.

- Start from the primary element, compare k and every element x

2. On the off chance that x == k, return the index.

3. Else, return not found.

## Linear Search Algorithm

LinearSearch(array, key) for each item in the array if item == value return its index

## Python, Java, and C/C++ Examples

**Python**

# Linear Search in Python def linearSearch(array, n, x): # Going through array sequencially for i in range(0, n): if (array[i] == x): return i return -1 array = [2, 4, 0, 1, 9] x = 1 n = len(array) result = linearSearch(array, n, x) if(result == -1): print("Element not found") else: print("Element found at index: ", result)

**Java**

// Linear Search in Java class LinearSearch { public static int linearSearch(int array[], int x) { int n = array.length; // Going through array sequencially for (int i = 0; i < n; i++) { if (array[i] == x) return i; } return -1; } public static void main(String args[]) { int array[] = { 2, 4, 0, 1, 9 }; int x = 1; int result = linearSearch(array, x); if (result == -1) System.out.print("Element not found"); else System.out.print("Element found at index: " + result); } }

**C**

// Linear Search in C #include <stdio.h> int search(int array[], int n, int x) { // Going through array sequencially for (int i = 0; i < n; i++) if (array[i] == x) return i; return -1; } int main() { int array[] = {2, 4, 0, 1, 9}; int x = 1; int n = sizeof(array) / sizeof(array[0]); int result = search(array, n, x); (result == -1) ? printf("Element not found") : printf("Element found at index: %d", result); }

**C++**

// Linear Search in C++ #include <iostream> using namespace std; int search(int array[], int n, int x) { // Going through array sequencially for (int i = 0; i < n; i++) if (array[i] == x) return i; return -1; } int main() { int array[] = {2, 4, 0, 1, 9}; int x = 1; int n = sizeof(array) / sizeof(array[0]); int result = search(array, n, x); (result == -1) ? cout << "Element not found" : cout << "Element found at index: " << result; }

## LinearSearch Complexities

**Time Complexity:** O(n)

**Space Complexity: **O(1)

## LinearSearch Applications

- For searching operations in smaller arrays (<100 items).

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