Given a number N, the task is to find the square root of N without using sqrt() function.
Examples:
Input: N = 25
Output: 5Input: N = 3
Output: 1.73205Input: N = 2.5
Output: 1.58114
Approach 1:
We can consider (?x-?x)2 = 0.
Replacing one of the ?x's with y, then the equation becomes (y-?x)2 => y2 - 2y?x + x = 0
=> ?x = (y2 + x) / 2y
=> ?x = (y + x/y) / 2In the above equation, we are considering ?x as z.
So, to get a required decimal value we can compare the difference of y and z to 10-p (to get the result upto 5 decimal digits, compare y-z to 10-5=0.00001). Until y-z exceeds it, the iteration continues.
Below is the implementation of the above idea:
// C Program to find square
// root of a number
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
double findSqrt(double x)
{
// for 0 and 1, the square roots are themselves
if (x < 2)
return x;
// considering the equation values
double y = x;
double z = (y + (x / y)) / 2;
// as we want to get upto 5 decimal digits, the absolute
// difference should not exceed 0.00001
while (fabs(y - z) >= 0.00001) {
y = z;
z = (y + (x / y)) / 2;
}
return z;
}
int main()
{
double n = 3;
double ans = findSqrt(n);
printf("%.5f is the square root of 3\n", ans);
return 0;
}
// C++ Program to find square
// root of a number
#include <bits/stdc++.h>
using namespace std;
double findSqrt(double x)
{
// for 0 and 1, the square roots are themselves
if (x < 2)
return x;
// considering the equation values
double y = x;
double z = (y + (x / y)) / 2;
// as we want to get upto 5 decimal digits, the absolute
// difference should not exceed 0.00001
while (abs(y - z) >= 0.00001) {
y = z;
z = (y + (x / y)) / 2;
}
return z;
}
int main()
{
double n = 3;
double ans = findSqrt(n);
cout << setprecision(6) << ans
<< " is the square root of 3" << endl;
return 0;
}
/// Java Program to find square
// root of a number
import java.io.*;
import java.util.*;
class GFG {
public static double findSqrt(double x)
{
// for 0 and 1, the square roots are themselves
if (x < 2)
return x;
// considering the equation values
double y = x;
double z = (y + (x / y)) / 2;
// as we want to get upto 5 decimal digits, the
// absolute difference should not exceed 0.00001
while (Math.abs(y - z) >= 0.00001) {
y = z;
z = (y + (x / y)) / 2;
}
return z;
}
public static void main(String[] args)
{
double n = 3;
double ans = findSqrt(n);
System.out.println(String.format("%.5f", ans)
+ " is the square root of 3");
}
}
# Python Program to find square
# root of a number
def findSqrt(x):
# for 0 and 1, the square roots are themselves
if x < 2:
return x
# considering the equation values
y = x
z = (y + (x/y)) / 2
# as we want to get upto 5 decimal digits, the absolute difference should not exceed
# 0.00001
while abs(y - z) >= 0.00001:
y = z
z = (y + (x/y)) / 2
return z
if __name__ == '__main__':
n = 323242
ans = findSqrt(n)
print(ans)
// C# Program to find square
// root of a number
using System;
using System.Collections.Generic;
public class GFG {
public static double findSqrt(double x)
{
// for 0 and 1, the square roots are themselves
if (x < 2)
return x;
// considering the equation values
double y = x;
double z = (y + (x / y)) / 2;
// as we want to get upto 5 decimal digits, the
// absolute difference should not exceed 0.00001
while (Math.Abs(y - z) >= 0.00001) {
y = z;
z = (y + (x / y)) / 2;
}
return z;
}
static public void Main()
{
double n = 3;
double ans = findSqrt(n);
ans = Math.Round(ans, 5);
Console.WriteLine(ans + " is the square root of 3");
}
}
// Javascript Program to find square
// root of a number
function findSqrt(x){
if(x < 2){
return x;
}
let y = x;
let z = (y + (x/y))/2;
while(Math.abs(y-z)>=0.00001){
y = z;
z = (y + (x/y))/2;
}
return z;
}
let n = 3;
let ans = findSqrt(n);
console.log(ans.toPrecision(6) + " is the square root of 3");
Output
1.73205 is the square root of 3
Time Complexity: O(log N)
Auxiliary Space: O(1)
Approach 2:
- Start iterating from i = 1. If i * i = n, then print i as n is a perfect square whose square root is i.
- Else find the smallest i for which i * i is strictly greater than n.
- Now we know square root of n lies in the interval i - 1 and i and we can use Binary Search algorithm to find the square root.
- Find mid of i - 1 and i and compare mid * mid with n, with precision upto 5 decimal places.
- If mid * mid = n then return mid.
- If mid * mid < n then recur for the second half.
- If mid * mid > n then recur for the first half.
Below is the implementation of the above approach:
// C implementation of the approach
#include<stdio.h>
#include<math.h>
#include <stdbool.h>
// Recursive function that returns square root
// of a number with precision upto 5 decimal places
double Square(double n, double i, double j)
{
double mid = (i + j) / 2;
double mul = mid * mid;
// If mid itself is the square root,
// return mid
if ((mul == n) || (fabs(mul - n) < 0.00001))
return mid;
// If mul is less than n, recur second half
else if (mul < n)
return Square(n, mid, j);
// Else recur first half
else
return Square(n, i, mid);
}
// Function to find the square root of n
void findSqrt(double n)
{
double i = 1;
// While the square root is not found
bool found = false;
while (!found) {
// If n is a perfect square
if (i * i == n) {
printf("%.0lf",i);
found = true;
}
else if (i * i > n) {
// Square root will lie in the
// interval i-1 and i
double res = Square(n, i - 1, i);
printf("%.5lf", res);
found = true;
}
i++;
}
}
// Driver code
int main()
{
double n = 3;
findSqrt(n);
return 0;
}
// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
// Recursive function that returns square root
// of a number with precision upto 5 decimal places
double Square(double n, double i, double j)
{
double mid = (i + j) / 2;
double mul = mid * mid;
// If mid itself is the square root,
// return mid
if ((mul == n) || (abs(mul - n) < 0.00001))
return mid;
// If mul is less than n, recur second half
else if (mul < n)
return Square(n, mid, j);
// Else recur first half
else
return Square(n, i, mid);
}
// Function to find the square root of n
void findSqrt(double n)
{
double i = 1;
// While the square root is not found
bool found = false;
while (!found) {
// If n is a perfect square
if (i * i == n) {
cout << fixed << setprecision(0) << i;
found = true;
}
else if (i * i > n) {
// Square root will lie in the
// interval i-1 and i
double res = Square(n, i - 1, i);
cout << fixed << setprecision(5) << res;
found = true;
}
i++;
}
}
// Driver code
int main()
{
double n = 3;
findSqrt(n);
return 0;
}
// Java implementation of the approach
import java.util.*;
class GFG
{
// Recursive function that returns
// square root of a number with
// precision upto 5 decimal places
static double Square(double n,
double i, double j)
{
double mid = (i + j) / 2;
double mul = mid * mid;
// If mid itself is the square root,
// return mid
if ((mul == n) ||
(Math.abs(mul - n) < 0.00001))
return mid;
// If mul is less than n,
// recur second half
else if (mul < n)
return Square(n, mid, j);
// Else recur first half
else
return Square(n, i, mid);
}
// Function to find the square root of n
static void findSqrt(double n)
{
double i = 1;
// While the square root is not found
boolean found = false;
while (!found)
{
// If n is a perfect square
if (i * i == n)
{
System.out.println(i);
found = true;
}
else if (i * i > n)
{
// Square root will lie in the
// interval i-1 and i
double res = Square(n, i - 1, i);
System.out.printf("%.5f", res);
found = true;
}
i++;
}
}
// Driver code
public static void main(String[] args)
{
double n = 3;
findSqrt(n);
}
}
// This code is contributed by PrinciRaj1992
# Python3 implementation of the approach
import math
# Recursive function that returns square root
# of a number with precision upto 5 decimal places
def Square(n, i, j):
mid = (i + j) / 2;
mul = mid * mid;
# If mid itself is the square root,
# return mid
if ((mul == n) or (abs(mul - n) < 0.00001)):
return mid;
# If mul is less than n, recur second half
elif (mul < n):
return Square(n, mid, j);
# Else recur first half
else:
return Square(n, i, mid);
# Function to find the square root of n
def findSqrt(n):
i = 1;
# While the square root is not found
found = False;
while (found == False):
# If n is a perfect square
if (i * i == n):
print(i);
found = True;
elif (i * i > n):
# Square root will lie in the
# interval i-1 and i
res = Square(n, i - 1, i);
print ("{0:.5f}".format(res))
found = True
i += 1;
# Driver code
if __name__ == '__main__':
n = 3;
findSqrt(n);
# This code is contributed by 29AjayKumar
// C# implementation of the approach
using System;
class GFG
{
// Recursive function that returns
// square root of a number with
// precision upto 5 decimal places
static double Square(double n,
double i, double j)
{
double mid = (i + j) / 2;
double mul = mid * mid;
// If mid itself is the square root,
// return mid
if ((mul == n) ||
(Math.Abs(mul - n) < 0.00001))
return mid;
// If mul is less than n,
// recur second half
else if (mul < n)
return Square(n, mid, j);
// Else recur first half
else
return Square(n, i, mid);
}
// Function to find the square root of n
static void findSqrt(double n)
{
double i = 1;
// While the square root is not found
Boolean found = false;
while (!found)
{
// If n is a perfect square
if (i * i == n)
{
Console.WriteLine(i);
found = true;
}
else if (i * i > n)
{
// Square root will lie in the
// interval i-1 and i
double res = Square(n, i - 1, i);
Console.Write("{0:F5}", res);
found = true;
}
i++;
}
}
// Driver code
public static void Main(String[] args)
{
double n = 3;
findSqrt(n);
}
}
// This code is contributed by Princi Singh
<script>
// Javascript implementation of the approach
// Recursive function that returns
// square root of a number with
// precision upto 5 decimal places
function Square(n, i, j)
{
var mid = ((i + j) / 2);
var mul = mid * mid;
// If mid itself is the square root,
// return mid
if ((mul == n) || (Math.abs(mul - n) < 0.00001))
return mid;
// If mul is less than n,
// recur second half
else if (mul < n)
return Square(n, mid, j);
// Else recur first half
else
return Square(n, i, mid);
}
// Function to find the square root of n
function findSqrt(n)
{
var i = 1;
// While the square root is not found
var found = false;
while (!found)
{
// If n is a perfect square
if (i * i == n)
{
document.write(i);
found = true;
}
else if (i * i > n)
{
// Square root will lie in the
// interval i-1 and i
var res = Square(n, i - 1, i);
document.write(res.toFixed(5));
found = true;
}
i++;
}
}
// Driver code
var n = 3;
findSqrt(n);
// This code is contributed by todaysgaurav
</script>
Output
1.73205
Time complexity: O(log N) where N is the given integer.
Auxiliary space: O(log N) for recursive stack space.
Method 3: Using binary search
1. This method uses binary search to find the square root of a number.
2. It starts by initializing the search range from 1 to n. It then calculates the mid-point of the search range and checks if the square of the mid-point is equal to the number we want to find the square root of.
3. If it is, the mid-point is the square root of the number. If not, the search range is updated based on whether the square of the mid-point is less than or greater than the number we want to find the square root of.
4. This process continues until we find the square root of the number.
#include <iostream>
using namespace std;
int sqrt(int n) {
if (n < 2) {
return n;
}
int low = 1, high = n;
while (low <= high) {
int mid = (low + high) / 2;
if (mid * mid == n) {
return mid;
} else if (mid * mid < n) {
low = mid + 1;
} else {
high = mid - 1;
}
}
return high;
}
int main() {
int n = 25;
cout << sqrt(n) << std::endl;
return 0;
}
// Java code to implement the approach
import java.util.*;
public class Main {
public static int sqrt(int n)
{
if (n < 2) {
return n;
}
int low = 1, high = n;
while (low <= high) {
int mid = (low + high) / 2;
if (mid * mid == n) {
return mid;
}
else if (mid * mid < n) {
low = mid + 1;
}
else {
high = mid - 1;
}
}
return high;
}
public static void main(String[] args)
{
int n = 25;
System.out.println(sqrt(n));
}
}
def sqrt(n):
if n < 2:
return n
low, high = 1, n
while low <= high:
mid = (low + high) // 2
if mid * mid == n:
return mid
elif mid * mid < n:
low = mid + 1
else:
high = mid - 1
return high
n=25
print(sqrt(n))
using System;
class Program {
static int Sqrt(int n) {
if (n < 2) {
return n;
}
int low = 1, high = n;
while (low <= high) {
int mid = (low + high) / 2;
if (mid * mid == n) {
return mid;
} else if (mid * mid < n) {
low = mid + 1;
} else {
high = mid - 1;
}
}
return high;
}
static void Main(string[] args) {
int n = 25;
Console.WriteLine(Sqrt(n));
}
}
function sqrt(n) {
if (n < 2) {
return n;
}
let low = 1, high = n;
while (low <= high) {
let mid = Math.floor((low + high) / 2);
if (mid * mid === n) {
return mid;
} else if (mid * mid < n) {
low = mid + 1;
} else {
high = mid - 1;
}
}
return high;
}
let n = 25;
console.log(sqrt(n)); // expected output: 5
Output
5
Time complexity:
The time complexity of this algorithm is O(log n) since it uses binary search to find the square root of a number.
Auxiliary space:
The algorithm does not use any extra space, so the space complexity is O(1).