Description
You are given two integer arrays nums1 and nums2 sorted in ascending order and an integer k.
Define a pair (u,v) which consists of one element from the first array and one element from the second array.
Find the k pairs (u1,v1),(u2,v2) …(uk,vk) with the smallest sums.
Example 1:
Given nums1 = [1,7,11], nums2 = [2,4,6], k = 3
Return: [1,2],[1,4],[1,6]
The first 3 pairs are returned from the sequence:
[1,2],[1,4],[1,6],[7,2],[7,4],[11,2],[7,6],[11,4],[11,6]
Example 2:
Given nums1 = [1,1,2], nums2 = [1,2,3], k = 2
Return: [1,1],[1,1]
The first 2 pairs are returned from the sequence:
[1,1],[1,1],[1,2],[2,1],[1,2],[2,2],[1,3],[1,3],[2,3]
Example 3:
Given nums1 = [1,2], nums2 = [3], k = 3
Return: [1,3],[2,3]
All possible pairs are returned from the sequence:
[1,3],[2,3]
问题描述
给定排序整数数组nums1和nums2, 以及整数k
定义一对(u, v), 为从nums1和nums2中各自挑选一个元素组成
找出k对最小和的(u1,v1),(u2,v2) …(uk,vk)
问题分析
minHeap为优先级队列,排序规则为元素之和
先将nums1[0]和nums2[i] (0 < i < nums2.length) 的组合放入minHeap中,每当从minHeap中poll一对,需要加入新的组合,令poll出的对为(i, j)(i表示取自nums1的i号元素,j表示取自nums2的j号元素),那么新加入的组合为(i + 1, j)。
解法
class Solution {
public List<int[]> kSmallestPairs(int[] nums1, int[] nums2, int k) {
List<int[]> ans = new ArrayList();
//优先级队列,Tuple实现了Comparable接口中的compareTo方法,排序规则为元素之和
PriorityQueue minHeap = new PriorityQueue();
if (nums1.length == 0 || nums2.length == 0) return ans;
//先将这些组合放进来
for (int i = 0; i < nums2.length; i++) {
minHeap.offer(new Tuple(0, i, nums1[0] + nums2[i]));
}
for (int i = 0; i < Math.min(k, nums1.length * nums2.length); i++) {
Tuple cur = minHeap.poll();
ans.add(new int[] {nums1[cur.index1], nums2[cur.index2]});
if (cur.index1 + 1 < nums1.length) {
//注意这里添加新的对的规则
minHeap.offer(new Tuple(cur.index1 + 1, cur.index2, nums1[cur.index1 + 1] + nums2[cur.index2]));
}
}
return ans;
}
}
class Tuple implements Comparable<Tuple>{
public int index1;
public int index2;
public Integer val;
public Tuple(int index1, int index2, int val) {
this.index1 = index1;
this.index2 = index2;
this.val = val;
}
public int compareTo(Tuple that) {
return this.val.compareTo(that.val);
}
}