Find K Pairs with Smallest Sums
题目地址:
https://leetcode.com/problems/find-k-pairs-with-smallest-sums/description/
题目:
解题思路:
这道题就是用优先队列的办法来做。首先先把num1里面的所有元素和num2里面的第一个元素来配对并且将index设为0。
代码:
https://leetcode.com/problems/find-k-pairs-with-smallest-sums/description/
题目:
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]
解题思路:
这道题就是用优先队列的办法来做。首先先把num1里面的所有元素和num2里面的第一个元素来配对并且将index设为0。
代码:
class Pair{ int[] pair; int idx; // current index to nums2 long sum; Pair(int idx, int n1, int n2){ this.idx = idx; pair = new int[]{n1, n2}; sum = (long) n1 + (long) n2; } } public List<int[]> kSmallestPairs(int[] nums1, int[] nums2, int k) { List<int[]> ret = new ArrayList<>(); if (nums1==null || nums2==null || nums1.length ==0 || nums2.length ==0) return ret; int len1 = nums1.length, len2=nums2.length; PriorityQueue<Pair> q = new PriorityQueue<>(k, new Comparator() { @Override public int compare(Object o1, Object o2) { return (int) (((Pair)o1).sum - ((Pair)o2).sum); } }); for (int i=0; i<nums1.length && i<k ; i++) { // only need first k number in nums1 to start q.offer( new Pair(0, nums1[i],nums2[0]) ); } for (int i=1; i<=k && !q.isEmpty(); i++) { // get the first k sums Pair p = q.poll(); ret.add( p.pair ); if (p.idx < len2 -1 ) { // get to next value in nums2 int next = p.idx+1; q.offer( new Pair(next, p.pair[0], nums2[next]) ); } } return ret; }

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