Babylonian method for square root
Algorithm:
This method can be derived from (but predates) Newton–Raphson method.
1 Start with an arbitrary positive start value x (the closer to the root, the better). 2 Initialize y = 1. 3. Do following until desired approximation is achieved. a) Get the next approximation for root using average of x and y b) Set y = n/x
Implementation:
C++
#include <iostream> using namespace std; class gfg { /*Returns the square root of n. Note that the function */ public : float squareRoot( float n) { /*We are using n itself as initial approximation This can definitely be improved */ float x = n; float y = 1; float e = 0.000001; /* e decides the accuracy level*/ while (x - y > e) { x = (x + y) / 2; y = n / x; } return x; } }; /* Driver program to test above function*/ int main() { gfg g; int n = 50; cout << "Square root of " << n << " is " << g.squareRoot(n); getchar (); } |
C
#include <stdio.h> /*Returns the square root of n. Note that the function */ float squareRoot( float n) { /*We are using n itself as initial approximation This can definitely be improved */ float x = n; float y = 1; float e = 0.000001; /* e decides the accuracy level*/ while (x - y > e) { x = (x + y) / 2; y = n / x; } return x; } /* Driver program to test above function*/ int main() { int n = 50; printf ( "Square root of %d is %f" , n, squareRoot(n)); getchar (); } |
Java
class GFG { /*Returns the square root of n. Note that the function */ static float squareRoot( float n) { /*We are using n itself as initial approximation This can definitely be improved */ float x = n; float y = 1 ; // e decides the accuracy level double e = 0.000001 ; while (x - y > e) { x = (x + y) / 2 ; y = n / x; } return x; } /* Driver program to test above function*/ public static void main(String[] args) { int n = 50 ; System.out.printf( "Square root of " + n + " is " + squareRoot(n)); } } // This code is contributed by // Smitha DInesh Semwal |
Python 3
# Returns the square root of n. # Note that the function def squareRoot(n): # We are using n itself as # initial approximation This # can definitely be improved x = n y = 1 # e decides the accuracy level e = 0.000001 while (x - y > e): x = (x + y) / 2 y = n / x return x # Driver program to test # above function n = 50 print ( "Square root of" , n, "is" , round (squareRoot(n), 6 )) # This code is contributed by # Smitha Dinesh Semwal |
C#
// C# Program for Babylonian // method of square root using System; class GFG { // Returns the square root of n. // Note that the function static float squareRoot( float n) { // We are using n itself as // initial approximation This // can definitely be improved float x = n; float y = 1; // e decides the // accuracy level double e = 0.000001; while (x - y > e) { x = (x + y) / 2; y = n / x; } return x; } // Driver Code public static void Main() { int n = 50; Console.Write( "Square root of " + n + " is " + squareRoot(n)); } } // This code is contributed by nitin mittal. |
PHP
<?php // Returns the square root of n. // Note that the function function squareRoot( $n ) { // We are using n itself // as initial approximation // This can definitely be // improved $x = $n ; $y = 1; /* e decides the accuracy level */ $e = 0.000001; while ( $x - $y > $e ) { $x = ( $x + $y )/2; $y = $n / $x ; } return $x ; } // Driver Code { $n = 50; echo "Square root of $n is " , squareRoot( $n ); } // This code is contributed by nitin mittal. ?> |
Javascript
<script> // javascript Program to find the area // of triangle /*Returns the square root of n. Note that the function */ function squareRoot( n) { /*We are using n itself as initial approximation This can definitely be improved */ let x = n; let y = 1; let e = 0.000001; /* e decides the accuracy level*/ while (x - y > e) { x = (x + y) / 2; y = n / x; } return x; } /* Driver program to test above function*/ let n = 50; document.write( "Square root of " +n+ " is " + squareRoot(n).toFixed(6)); // This code is contributed by todaysgaurav </script> |
Output :
Square root of 50 is 7.071068
Time Complexity: O(n1/2)
Auxiliary Space: O(1)
Example:
n = 4 /*n itself is used for initial approximation*/ Initialize x = 4, y = 1 Next Approximation x = (x + y)/2 (= 2.500000), y = n/x (=1.600000) Next Approximation x = 2.050000, y = 1.951220 Next Approximation x = 2.000610, y = 1.999390 Next Approximation x = 2.000000, y = 2.000000 Terminate as (x - y) > e now.
If we are sure that n is a perfect square, then we can use following method. The method can go in infinite loop for non-perfect-square numbers. For example, for 3 the below while loop will never terminate.
C++
// C++ program for Babylonian // method for square root #include <iostream> using namespace std; class gfg { /* Returns the square root of n. Note that the function will not work for numbers which are not perfect squares*/ public : float squareRoot( float n) { /* We are using n itself as an initial approximation. This can definitely be improved */ float x = n; float y = 1; while (x > y) { x = (x + y) / 2; y = n / x; } return x; } }; /* Driver code*/ int main() { gfg g; int n = 49; cout << "Square root of " << n << " is " << g.squareRoot(n); getchar (); } // This code is edited by Dark_Dante_ |
C
// C program for Babylonian // method for square root #include <stdio.h> /* Returns the square root of n. Note that the function will not work for numbers which are not perfect squares*/ unsigned int squareRoot( int n) { int x = n; int y = 1; while (x > y) { x = (x + y) / 2; y = n / x; } return x; } // Driver Code int main() { int n = 49; printf ( "root of %d is %d" , n, squareRoot(n)); getchar (); } |
Java
// Java program for Babylonian // method for square root import java.io.*; public class GFG { /* Returns the square root of n. Note that the function will not work for numbers which are not perfect squares*/ static long squareRoot( int n) { int x = n; int y = 1 ; while (x > y) { x = (x + y) / 2 ; y = n / x; } return ( long )x; } // Driver Code static public void main(String[] args) { int n = 49 ; System.out.println( "root of " + n + " is " + squareRoot(n)); } } // This code is contributed by anuj_67. |
Python3
# python3 program for Babylonian # method for square root # Returns the square root of n. # Note that the function # will not work for numbers # which are not perfect squares def squareRoot(n): x = n; y = 1 ; while (x > y): x = (x + y) / 2 ; y = n / x; return x; # Driver Code n = 49 ; print ( "root of" , n, "is" , squareRoot(n)); # This code is contributed by mits. |
C#
// C# program for Babylonian // method for square root using System; public class GFG { /* Returns the square root of n. Note that the function will not work for numbers which are not perfect squares*/ static uint squareRoot( int n) { int x = n; int y = 1; while (x > y) { x = (x + y) / 2; y = n / x; } return ( uint )x; } // Driver Code static public void Main() { int n = 49; Console.WriteLine( "root of " + n + " is " + squareRoot(n)); } } // This code is contributed by anuj_67. |
PHP
<?php // PHP program for Babylonian // method for square root /* Returns the square root of n. Note that the function will not work for numbers which are not perfect squares */ function squareRoot( $n ) { $x = $n ; $y = 1; while ( $x > $y ) { $x = ( $x + $y ) / 2; $y = $n / $x ; } return $x ; } // Driver Code $n = 49; echo " root of " , $n , " is " , squareRoot( $n ); // This code is contributed by anuj_67. ?> |
Javascript
<script> // javascript program for Babylonian // method for square root /* * Returns the square root of n. Note that the function will not work for * numbers which are not perfect squares */ function squareRoot(n) { var x = n; var y = 1; while (x > y) { x = (x + y) / 2; y = n / x; } return x; } // Driver Code var n = 49; document.write( "root of " + n + " is " + squareRoot(n)); // This code contributed by shikhasingrajput </script> |
Output :
root of 49 is 7
Time Complexity: O(n1/2)
Auxiliary Space: O(1)
References;
http://en.wikipedia.org/wiki/Square_root
http://en.wikipedia.org/wiki/Babylonian_method#Babylonian_method
Asked by Snehal
Please write comments if you find any bug in the above program/algorithm, or if you want to share more information about Babylonian method.
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