Solution Powx,n
Problem Statement
Write a Recursive Approach to Calculate Power of Integer to N Pow(x,n).
Given an integer x and an integer n, write a recursive function to calculate the power of x to the nth power.
Example
| Sr# | x | n | Output | Description |
|---|---|---|---|---|
| 1 | 2 | 5 | 32 | 2 raised to the power of 5 equals 32. |
| 2 | 3 | 4 | 81 | 3 raised to the power of 4 equals 81. |
| 3 | 5 | 0 | 1 | Any number raised to the power of 0 equals 1 (x^0 = 1). |
Constraints:
-100.0 < x < 100.0- -231 <= n <= 231-1
nis an integer.- Either
xis not zero or n > 0. - -104 <= xn <= 104
Solution
To calculate the power of x to the nth power recursively, we can follow these steps:
- If
nis equal to 0, return 1 since any number raised to the power of 0 equals 1. - If
nis less than 0, return 1 divided by the result of calculatingxraised to the power of-n. - If
nis greater than 0, recursively calculatexraised to the power ofn/2. Store the result in a variabletemp. - If
nis even, return the square oftemp(i.e.,temp * temp). - If
nis odd, returnxmultiplied by the square oftemp(i.e.,x * temp * temp).
This approach works by dividing the power n into smaller subproblems, reducing the number of recursive calls. By utilizing the property that x^(2k) is equal to (x^k)^2, we can optimize the computation and reduce the time complexity.
Code
Here is the code for this algorithm:
public class Solution {
public static double calculatePower(double x, int n) {
if (n == 0) {
return 1;
}
if (n < 0) {
return 1 / calculatePower(x, -n);
}
double temp = calculatePower(x, n / 2);
if (n % 2 == 0) {
return temp * temp;
} else {
return x * temp * temp;
}
}
public static void main(String[] args) {
// Example inputs
double x1 = 2;
int n1 = 5;
double x2 = 3;
int n2 = 4;
double x3 = 5;
int n3 = 0;
// Calculate power and print results
System.out.println(
"Power of " +
x1 +
" to the power of " +
n1 +
" = " +
calculatePower(x1, n1)
);
System.out.println(
"Power of " +
x2 +
" to the power of " +
n2 +
" = " +
calculatePower(x2, n2)
);
System.out.println(
"Power of " +
x3 +
" to the power of " +
n3 +
" = " +
calculatePower(x3, n3)
);
}
}
Time and Space Complexity
The time complexity of this algorithm is
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