We have a list of points
on the plane. Find the K
closest points to the origin (0, 0)
.
(Here, the distance between two points on a plane is the Euclidean distance.)
You may return the answer in any order. The answer is guaranteed to be unique (except for the order that it is in.)
Example 1:
Input: points = [[1,3],[-2,2]], K = 1 Output: [[-2,2]] Explanation: The distance between (1, 3) and the origin is sqrt(10). The distance between (-2, 2) and the origin is sqrt(8). Since sqrt(8) < sqrt(10), (-2, 2) is closer to the origin. We only want the closest K = 1 points from the origin, so the answer is just [[-2,2]].
Example 2:
Input: points = [[3,3],[5,-1],[-2,4]], K = 2 Output: [[3,3],[-2,4]] (The answer [[-2,4],[3,3]] would also be accepted.)
Note:
1 <= K <= points.length <= 10000
-10000 < points[i][0] < 10000
-10000 < points[i][1] < 10000
知道PriorityQueue的存在,但是被我給忘了。抄的答案代碼。
今天要再看一下priorityqueue的comparator定義等等
class Solution {
public int[][] kClosest(int[][] points, int K) {
PriorityQueue<int[]> pq = new PriorityQueue<int[]>((p1, p2) -> p2[0]*p2[0] + p2[1] * p2[1] - p1[0] * p1[0] - p1[1] * p1[1]);
for(int[] p : points){
pq.offer(p);
if (pq.size() > K){
pq.poll();
}
}
int[][] res = new int[K][2];
while( K > 0){
res[--K] = pq.poll();
}
return res;
}
}