Implementation of Linear Search Algorithm

Time and Space Complexity of Linear Search Algorithm:

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.

Below is the implementation of the linear search algorithm:

C++

// C++ code to linearly search x in arr[].

#include <bits/stdc++.h>
using namespace std;

int search(int arr[], int N, int x)
{
    for (int i = 0; i < N; i++)
        if (arr[i] == x)
            return i;
    return -1;
}

// Driver code
int main(void)
{
    int arr[] = { 2, 3, 4, 10, 40 };
    int x = 10;
    int N = sizeof(arr) / sizeof(arr[0]);

    // Function call
    int result = search(arr, N, x);
    (result == -1)
        ? cout << "Element is not present in array"
        : cout << "Element is present at index " << result;
    return 0;
}

// C code to linearly search x in arr[].

#include <stdio.h>

int search(int arr[], int N, int x)
{
    for (int i = 0; i < N; i++)
        if (arr[i] == x)
            return i;
    return -1;
}

// Driver code
int main(void)
{
    int arr[] = { 2, 3, 4, 10, 40 };
    int x = 10;
    int N = sizeof(arr) / sizeof(arr[0]);

    // Function call
    int result = search(arr, N, x);
    (result == -1)
        ? printf("Element is not present in array")
        : printf("Element is present at index %d", result);
    return 0;
}

Java

// Java code for linearly searching x in arr[]. 

import java.io.*;

class GFG {
    public static int search(int arr[], int N, int x)
    {
        for (int i = 0; i < N; i++) {
            if (arr[i] == x)
                return i;
        }
        return -1;
    }

    // Driver code
    public static void main(String args[])
    {
        int arr[] = { 2, 3, 4, 10, 40 };
        int x = 10;

        // Function call
        int result = search(arr, arr.length, x);
        if (result == -1)
            System.out.print(
                "Element is not present in array");
        else
            System.out.print("Element is present at index "
                             + result);
    }
}

Python

# Python3 code to linearly search x in arr[].


def search(arr, N, x):

    for i in range(0, N):
        if (arr[i] == x):
            return i
    return -1


# Driver Code
if __name__ == "__main__":
    arr = [2, 3, 4, 10, 40]
    x = 10
    N = len(arr)

    # Function call
    result = search(arr, N, x)
    if(result == -1):
        print("Element is not present in array")
    else:
        print("Element is present at index", result)

// C# code to linearly search x in arr[].

using System;

class GFG {
    public static int search(int[] arr, int N, int x)
    {
        for (int i = 0; i < N; i++) {
            if (arr[i] == x)
                return i;
        }
        return -1;
    }

    // Driver's code
    public static void Main()
    {
        int[] arr = { 2, 3, 4, 10, 40 };
        int x = 10;

        // Function call
        int result = search(arr, arr.Length, x);
        if (result == -1)
            Console.WriteLine(
                "Element is not present in array");
        else
            Console.WriteLine("Element is present at index "
                              + result);
    }
}

// This code is contributed by DrRoot_

Javascript

// Javascript code to linearly search x in arr[].

function search(arr, n, x)
{
    for (let i = 0; i < n; i++)
        if (arr[i] == x)
            return i;
    return -1;
}

// Driver code

    let arr = [ 2, 3, 4, 10, 40 ];
    let x = 10;
    let n = arr.length;

    // Function call
    let result = search(arr, n, x);
    (result == -1)
        ? console.log("Element is not present in array")
        : console.log("Element is present at index " + result);

// This code is contributed by Manoj

PHP

<?php
// PHP code for linearly search x in arr[].

function search($arr, $n, $x)
{
    for($i = 0; $i < $n; $i++) {
        if($arr[$i] == $x)
            return $i;
    }
    return -1;
}

// Driver Code
$arr = array(2, 3, 4, 10, 40); 
$x = 10;

// Function call
$result = search($arr, sizeof($arr), $x);
if($result == -1)
    echo "Element is not present in array";
else
    echo "Element is present at index " ,
                                 $result;

// This code is contributed
// by jit_t
?>

Output

Element is present at index 3

Introduction to Linear Search Algorithm

Linear Search Algorithm is defined as a sequential search algorithm that starts at one end and goes through each element of a list until the desired element is found, otherwise the search continues till the end of the data set. In this article, we will learn about the basics of Linear Search Algorithm, Applications, Advantages, Disadvantages, etc. to provide a deep understanding of Linear Search.

Table of Content

What is Linear Search Algorithm?
Algorithm for Linear Search Algorithm
How Does Linear Search Algorithm Work?
Implementation of Linear Search Algorithm
Time and Space Complexity of Linear Search Algorithm
Applications of Linear Search Algorithm
Advantages of Linear Search Algorithm
Disadvantages of Linear Search Algorithm
When to use Linear Search Algorithm?
Frequently Asked Questions (FAQs) on Linear Search Algorithm

Implementation of Linear Search Algorithm

Introduction to Linear Search Algorithm

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