Given a number n, find the cube root of n.
Examples:
Input: n = 3 Output: Cubic Root is 1.442250 Input: n = 8 Output: Cubic Root is 2.000000
We can use binary search. First we define error e. Let us say 0.0000001 in our case. The main steps of our algorithm for calculating the cubic root of a number n are:
- Initialize start = 0 and end = n
- Calculate mid = (start + end)/2
- Check if the absolute value of (n – mid*mid*mid) < e. If this condition holds true then mid is our answer so return mid.
- If (mid*mid*mid)>n then set end=mid
- If (mid*mid*mid)<n set start=mid.
Below is the implementation of above idea.
C++
// C++ program to find cubic root of a number // using Binary Search #include <bits/stdc++.h> using namespace std;
// Returns the absolute value of n-mid*mid*mid double diff( double n, double mid)
{ if (n > (mid*mid*mid))
return (n-(mid*mid*mid));
else
return ((mid*mid*mid) - n);
} // Returns cube root of a no n double cubicRoot( double n)
{ // Set start and end for binary search
double start = 0, end = n;
// Set precision
double e = 0.0000001;
while ( true )
{
double mid = (start + end)/2;
double error = diff(n, mid);
// If error is less than e then mid is
// our answer so return mid
if (error <= e)
return mid;
// If mid*mid*mid is greater than n set
// end = mid
if ((mid*mid*mid) > n)
end = mid;
// If mid*mid*mid is less than n set
// start = mid
else
start = mid;
}
} // Driver code int main()
{ double n = 3;
printf ( "Cubic root of %lf is %lf\n" ,
n, cubicRoot(n));
return 0;
} |
Java
// Java program to find cubic root of a number // using Binary Search import java.io.*;
class GFG
{ // Returns the absolute value of n-mid*mid*mid
static double diff( double n, double mid)
{
if (n > (mid*mid*mid))
return (n-(mid*mid*mid));
else
return ((mid*mid*mid) - n);
}
// Returns cube root of a no n
static double cubicRoot( double n)
{
// Set start and end for binary search
double start = 0 , end = n;
// Set precision
double e = 0.0000001 ;
while ( true )
{
double mid = (start + end)/ 2 ;
double error = diff(n, mid);
// If error is less than e then mid is
// our answer so return mid
if (error <= e)
return mid;
// If mid*mid*mid is greater than n set
// end = mid
if ((mid*mid*mid) > n)
end = mid;
// If mid*mid*mid is less than n set
// start = mid
else
start = mid;
}
}
// Driver program to test above function
public static void main (String[] args)
{
double n = 3 ;
System.out.println( "Cube root of " +n+ " is " +cubicRoot(n));
}
} // This code is contributed by Pramod Kumar |
Python3
# Python 3 program to find cubic root # of a number using Binary Search # Returns the absolute value of # n-mid*mid*mid def diff(n, mid) :
if (n > (mid * mid * mid)) :
return (n - (mid * mid * mid))
else :
return ((mid * mid * mid) - n)
# Returns cube root of a no n def cubicRoot(n) :
# Set start and end for binary
# search
start = 0
end = n
# Set precision
e = 0.0000001
while ( True ) :
mid = (start + end) / 2
error = diff(n, mid)
# If error is less than e
# then mid is our answer
# so return mid
if (error < = e) :
return mid
# If mid*mid*mid is greater
# than n set end = mid
if ((mid * mid * mid) > n) :
end = mid
# If mid*mid*mid is less
# than n set start = mid
else :
start = mid
# Driver code n = 3
print ( "Cubic root of" , n, "is" ,
round (cubicRoot(n), 6 ))
# This code is contributed by Nikita Tiwari. |
C#
// C# program to find cubic root // of a number using Binary Search using System;
class GFG {
// Returns the absolute value
// of n - mid * mid * mid
static double diff( double n, double mid)
{
if (n > (mid * mid * mid))
return (n-(mid * mid * mid));
else
return ((mid * mid * mid) - n);
}
// Returns cube root of a no. n
static double cubicRoot( double n)
{
// Set start and end for
// binary search
double start = 0, end = n;
// Set precision
double e = 0.0000001;
while ( true )
{
double mid = (start + end) / 2;
double error = diff(n, mid);
// If error is less than e then
// mid is our answer so return mid
if (error <= e)
return mid;
// If mid * mid * mid is greater
// than n set end = mid
if ((mid * mid * mid) > n)
end = mid;
// If mid*mid*mid is less than
// n set start = mid
else
start = mid;
}
}
// Driver Code
public static void Main ()
{
double n = 3;
Console.Write( "Cube root of " + n
+ " is " +cubicRoot(n));
}
} // This code is contributed by nitin mittal. |
PHP
<?php // PHP program to find cubic root // of a number using Binary Search // Returns the absolute value // of n - mid * mid * mid function diff( $n , $mid )
{ if ( $n > ( $mid * $mid * $mid ))
return ( $n - ( $mid *
$mid * $mid ));
else
return (( $mid * $mid *
$mid ) - $n );
} // Returns cube root of a no n function cubicRoot( $n )
{ // Set start and end
// for binary search
$start = 0;
$end = $n ;
// Set precision
$e = 0.0000001;
while (true)
{
$mid = (( $start + $end )/2);
$error = diff( $n , $mid );
// If error is less
// than e then mid is
// our answer so return mid
if ( $error <= $e )
return $mid ;
// If mid*mid*mid is
// greater than n set
// end = mid
if (( $mid * $mid * $mid ) > $n )
$end = $mid ;
// If mid*mid*mid is
// less than n set
// start = mid
else
$start = $mid ;
}
} // Driver Code
$n = 3;
echo ( "Cubic root of $n is " );
echo (cubicRoot( $n ));
// This code is contributed by nitin mittal. ?> |
Javascript
<script> // Javascript program to find cubic root of a number // using Binary Search // Returns the absolute value of n-mid*mid*mid
function diff(n, mid)
{
if (n > (mid*mid*mid))
return (n-(mid*mid*mid));
else
return ((mid*mid*mid) - n);
}
// Returns cube root of a no n
function cubicRoot(n)
{
// Set start and end for binary search
let start = 0, end = n;
// Set precision
let e = 0.0000001;
while ( true )
{
let mid = (start + end)/2;
let error = diff(n, mid);
// If error is less than e then mid is
// our answer so return mid
if (error <= e)
return mid;
// If mid*mid*mid is greater than n set
// end = mid
if ((mid*mid*mid) > n)
end = mid;
// If mid*mid*mid is less than n set
// start = mid
else
start = mid;
}
}
// Driver Code let n = 3;
document.write( "Cube root of " +n+ " is " +cubicRoot(n));
</script> |
Output:
Cubic root of 3.000000 is 1.442250
Time Complexity: O(logn)
Auxiliary Space: O(1)
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