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PowxN.java
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PowxN.java
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// Link: https://leetcode.com/problems/powx-n/
/*
* 0ms, 100%
*
* Like 29-Divide-Two-Integer
* If we multiply x each time, we may get LTE, e.g, x=1.0000, n=2^31-1, we need 2^31-1 times multiplication.
* So, for example, in order to compute x^n, instead of x^2 -> x^3 -> ... -> x^20, we compute x^2, x^4, x^8, ...,
* until x^m where m is right smaller than n, then we let n = n-m and repeat the process.
*/
class Solution {
public double myPow(double x, int n) {
int power = n;
if (n < 0) {
// If n is -2^31, we set it to 2^31 - 1 due to the overflow of 2^31 and at the end we just need to
// multiply x one more time.
power = (n == Integer.MIN_VALUE ? Integer.MAX_VALUE : -n);
}
double ans = 1;
while (power > 0) {
int curPow = 1;
double curAns = x;
while (curPow < power >> 1) {
curAns *= curAns;
curPow <<= 1;
}
ans *= curAns;
power -= curPow;
}
if (n < 0) {
return n == Integer.MIN_VALUE ? 1 / (ans * x) : 1 / ans;
}
return ans;
}
}
/*
* Time complexity: O((logn)^2)
* We need O(logn) time to double m to n. After subtraction (i.e., n-m), the worse case is the leftover is half of n.
* E.g., n=31, at the first time, m=16, the leftover is 15. So we need O(logn) times. So the time complexity is O((logn)^2).
*
* Space complexity: O(1)
*
* Notes:
*
*/
/*
* Method2: Recursion
* 0ms, 100%
*
* Basic idea: to calculate x^n, we just need to calculate x^(n/2), and x^n = x^(n/2) * x^(n/2)
*/
class Solution {
public double myPow(double x, int n) {
if (n < 0) {
return n == Integer.MIN_VALUE ? 1 / (x * pow(x, Integer.MAX_VALUE)) : 1 / pow(x, -n);
}
return pow(x, n);
}
private double pow(double x, int n) {
if (n == 0) {
return 1.0;
}
double half = pow(x, n / 2);
if (n % 2 == 0) {
return half * half;
} else {
return half * half * x;
}
}
}
/*
* Time complexity: O(logn)
*
* Space complexity: O(logn) for the recursion stack
*
* Notes:
*
*/
/*
* Method3: Iteration
* 0ms, 100%
*
*/
class Solution {
public double myPow(double x, int n) {
int remaining = n;
if (n < 0) {
remaining = n == Integer.MIN_VALUE ? Integer.MAX_VALUE : -n;
}
double ans = 1;
double base = x;
while (remaining > 0) {
if (remaining % 2 == 1) {
ans *= base;
}
base *= base;
remaining /= 2;
}
if (n < 0) {
return n == Integer.MIN_VALUE ? 1 / (ans * x) : 1 / ans;
}
return ans;
}
}
/*
* Time complexity: O(logn)
*
* Space complexity: O(1)
*
* Notes:
*
*/