题目描述
设计一个算法,找出只含素因子2,3,5 的第 n 小的数。
符合条件的数如:1, 2, 3, 4, 5, 6, 8, 9, 10, 12…
样例1
输入:9
输出:10
样例2
输入:1
输出:1
java题解
题解1
class Solution {
/**
* @param n an integer
* @return the nth prime number as description.
*/
public int nthUglyNumber(int n) {
// Write your code here
Queue<Long> Q = new PriorityQueue<Long>();
HashSet<Long> inQ = new HashSet<Long>();
Long[] primes = new Long[3];
primes[0] = Long.valueOf(2);
primes[1] = Long.valueOf(3);
primes[2] = Long.valueOf(5);
for (int i = 0; i < 3; i++) {
Q.add(primes[i]);
inQ.add(primes[i]);
}
Long number = Long.valueOf(1);
for (int i = 1; i < n; i++) {
number = Q.poll();
for (int j = 0; j < 3; j++) {
if (!inQ.contains(primes[j] * number)) {
Q.add(number * primes[j]);
inQ.add(number * primes[j]);
}
}
}
return number.intValue();
}
};
题解2
class Solution {
/**
* @param n an integer
* @return the nth prime number as description.
*/
public int nthUglyNumber(int n) {
List<Integer> uglys = new ArrayList<Integer>();
uglys.add(1);
int p2 = 0, p3 = 0, p5 = 0;
// p2, p3 & p5 share the same queue: uglys
for (int i = 1; i < n; i++) {
int lastNumber = uglys.get(i - 1);
while (uglys.get(p2) * 2 <= lastNumber) p2++;
while (uglys.get(p3) * 3 <= lastNumber) p3++;
while (uglys.get(p5) * 5 <= lastNumber) p5++;
uglys.add(Math.min(
Math.min(uglys.get(p2) * 2, uglys.get(p3) * 3),
uglys.get(p5) * 5
));
}
return uglys.get(n - 1);
}
};
C++题解
class Solution {
public:
/*
* @param n an integer
* @return the nth prime number as description.
*/
int nthUglyNumber(int n) {
int *uglys = new int[n];
uglys[0] = 1;
int next = 1;
int *p2 = uglys;
int *p3 = uglys;
int *p5 = uglys;
while (next < n){
int m = min(min(*p2 * 2, *p3 * 3), *p5 * 5);
uglys[next] = m;
while (*p2 * 2 <= uglys[next])
*p2++;
while (*p3 * 3 <= uglys[next])
*p3++;
while (*p5 * 5 <= uglys[next])
*p5++;
next++;
}
int uglyNum = uglys[n - 1];
delete[] uglys;
return uglyNum;
}
};
python题解
import heapq
class Solution:
"""
@param {int} n an integer.
@return {int} the nth prime number as description.
"""
def nthUglyNumber(self, n):
heap = [1]
visited = set([1])
val = None
for i in range(n):
val = heapq.heappop(heap)
for factor in [2, 3, 5]:
if val * factor not in visited:
visited.add(val * factor)
heapq.heappush(heap, val * factor)
return val