Write a C, C++ code to implement binary search program using recursion.

Binary Search algorithm is used to search an element in a sorted array. Binary search works by comparing the value to the middle element of an array. If the value is found then index is returned otherwise the steps is repeated until the value is found.

It is faster than linear search.

Time complexity of Linear search is

Time complexity of Binary search is

In recursion, the function call itself until the base condition is reached. If you are not familiar with recursion then check the difference between recursion and iteration.

Reverse a number using recursion.

In my previous post we have implemented binary search using iterative approach. In this post. we are going to implement binary search using recursion.

**What is Binary Search?**Binary Search algorithm is used to search an element in a sorted array. Binary search works by comparing the value to the middle element of an array. If the value is found then index is returned otherwise the steps is repeated until the value is found.

It is faster than linear search.

Time complexity of Linear search is

**O(n)**.Time complexity of Binary search is

**O(log(n))**.**What is Recursion?**In recursion, the function call itself until the base condition is reached. If you are not familiar with recursion then check the difference between recursion and iteration.

Reverse a number using recursion.

In my previous post we have implemented binary search using iterative approach. In this post. we are going to implement binary search using recursion.

## Implement Binary Search Using Recursion in C

#include <stdio.h> #include <stdlib.h> void BinarySearch(int arr[],int num,int first,int last){ int mid; if(first > last){ printf("Number is not found"); } else { /* Calculate mid element */ mid = (first + last)/2; /* If mid is equal to number we are searching */ if(arr[mid]==num){ printf("Element is found at index %d ",mid); exit(0); }else if(arr[mid] > num){ BinarySearch(arr, num, first, mid-1); }else{ BinarySearch(arr, num, mid+1, last); } } } main(){ int arr[100],beg,mid,end,i,n,num; printf("Enter the size of an array "); scanf("%d",&n); printf("Enter the values in sorted sequence \n"); for(i=0;i<n;i++) { scanf("%d",&arr[i]); } beg=0; end=n-1; printf("Enter a value to be search: "); scanf("%d",&num); BinarySearch(arr,num,beg,end); }

## Implement Binary Search using Recursion in C++

#include <iostream> using namespace std; int BinarySearch(int arr[], int num, int beg, int end) { int mid; if (beg > end){ cout << "Number is not found"; return 0; } else { mid = (beg + end) / 2; if(arr[mid] == num){ cout << "Number is found at " << mid << " index \n"; return 0; } else if (num > arr[mid]) { BinarySearch (arr, num, mid+1, end); } else if (num < arr[mid]) { BinarySearch (arr, num, beg , mid-1); } } } int main() { int arr[100], num, i, n, beg, end; cout <<"Enter the size of an array (Max 100) \n"; cin >> n; cout <<"Enter the sorted values \n"; for(i=0; i<n; i++) { cin >> arr[i]; } cout <<"Enter a value to be search \n"; cin >> num; beg = 0; end = n-1; BinarySearch (arr, num, beg, end); return 0; }

**Output :**

Enter the size of an array (Max 100) : 6

Enter the sorted values : 2 4 6 7 8 9

Enter a value to be search : 7

Number is found at 3 index

Really helpful :)

ReplyDeleteReally helpful :)

ReplyDeleteThanks man. I have one question does the time complexity of binary search remains same when we implement them recursively.

ReplyDeleteno

Deletenice job

ReplyDeleteThank you Ahmad.

Delete#include

ReplyDeleteusing namespace std;

int search(int elem, int size, int arr[])

{

size = size - 1;

static int low = 0;

static int high = size;

int mid = (low+high)/2;

if(arr[mid] == elem)

{

return mid;

}

else if(size == 0)

{

return -1;

}

else

{

if(elem > arr[mid])

{

low = mid + 1;

search(elem, (size/2), arr);

}

else

{

high = mid - 1;

search(elem, mid, arr);

}

}

}

int main()

{

int arr[] = {10, 12, 15, 20, 25, 35, 46, 50, 80, 100};

for(int i = 0; i < 10; i++)

cout<<arr[i]<<endl;

cout<<"Element found at index: "<<search(102, 10, arr)<<endl;

return 0;

}