标签:art java must upd uniq first -o missing lse
原题链接在这里:https://leetcode.com/problems/missing-element-in-sorted-array/
题目:
Given a sorted array A
of unique numbers, find the K-th
missing number starting from the leftmost number of the array.
Example 1:
Input: A = [4,7,9,10], K = 1
Output: 5
Explanation:
The first missing number is 5.
Example 2:
Input: A = [4,7,9,10], K = 3
Output: 8
Explanation:
The missing numbers are [5,6,8,...], hence the third missing number is 8.
Example 3:
Input: A = [1,2,4], K = 3
Output: 6
Explanation:
The missing numbers are [3,5,6,7,...], hence the third missing number is 6.
Note:
1 <= A.length <= 50000
1 <= A[i] <= 1e7
1 <= K <= 1e8
题解:
If the missing numbers count < k, then missing number must be after nums[n-1].
res = nums[n-1] + missingCount.
Otherwise, need to find out the starting index to calculate the missing number.
Use binary search to have mid as candidate.
Now missing numbers count between numd[l] and nums[mid] is nums[mid] - nums[l]-(mid-l).
If this count >= k, then starting index must not fall into (l, r], including r.
Otherwise, starting index fall into right side. But need to update k as k-missingCount.
Time Complexity: O(logn). n = nums.length.
Space: O(1).
AC Java:
1 class Solution { 2 public int missingElement(int[] nums, int k) { 3 int n = nums.length; 4 if(nums[n-1]-nums[0]+1-n < k){ 5 return nums[n-1] + k-(nums[n-1]-nums[0]+1-n); 6 } 7 8 int l = 0; 9 int r = n-1; 10 while(l<r-1){ 11 int mid = l + (r-l)/2; 12 int missingCount = nums[mid]-nums[l]-(mid-l); 13 if(missingCount >= k){ 14 // When missingCount <= k, starting index to calculate must not fall into (l, r]. 15 r = mid; 16 }else{ 17 l = mid; 18 k -= missingCount; 19 } 20 } 21 22 return nums[l]+k; 23 } 24 }
LeetCode 1060. Missing Element in Sorted Array
标签:art java must upd uniq first -o missing lse
原文地址:https://www.cnblogs.com/Dylan-Java-NYC/p/11902286.html