You are given two non-increasing 0-indexed integer arrays nums1
and nums2
.
A pair of indices (i, j)
, where 0 <= i < nums1.length
and 0 <= j < nums2.length
, is valid if both i <= j
and nums1[i] <= nums2[j]
. The distance of the pair is j - i
.
Return the maximum distance of any valid pair (i, j)
. If there are no valid pairs, return 0
.
An array arr
is non-increasing if arr[i-1] >= arr[i]
for every 1 <= i < arr.length
.
Example 1:
Input: nums1 = [55,30,5,4,2], nums2 = [100,20,10,10,5] Output: 2 Explanation: The valid pairs are (0,0), (2,2), (2,3), (2,4), (3,3), (3,4), and (4,4). The maximum distance is 2 with pair (2,4).
Example 2:
Input: nums1 = [2,2,2], nums2 = [10,10,1] Output: 1 Explanation: The valid pairs are (0,0), (0,1), and (1,1). The maximum distance is 1 with pair (0,1).
Example 3:
Input: nums1 = [30,29,19,5], nums2 = [25,25,25,25,25] Output: 2 Explanation: The valid pairs are (2,2), (2,3), (2,4), (3,3), and (3,4). The maximum distance is 2 with pair (2,4).
Example 4:
Input: nums1 = [5,4], nums2 = [3,2] Output: 0 Explanation: There are no valid pairs, so return 0.
Constraints:
1 <= nums1.length <= 105
1 <= nums2.length <= 105
1 <= nums1[i], nums2[j] <= 105
- Both
nums1
andnums2
are non-increasing.
Related Topics:
Two Pointers, Binary Search, Greedy
// OJ: https://leetcode.com/problems/maximum-distance-between-a-pair-of-values/
// Author: github.com/lzl124631x
// Time: O(NlogN)
// Space: O(1)
class Solution {
public:
int maxDistance(vector<int>& A, vector<int>& B) {
int ans = 0;
for (int i = 0; i < A.size(); ++i) {
int j = upper_bound(begin(B), end(B), A[i], greater()) - begin(B);
ans = max(ans, max(0, j - 1 - i));
}
return ans;
}
};
For each A[i]
: while A[i] <= B[i + diff]
, we keep increasing diff
. Eventually i + diff
will become invalid so diff - 1
is the answer.
// OJ: https://leetcode.com/problems/maximum-distance-between-a-pair-of-values/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
class Solution {
public:
int maxDistance(vector<int>& A, vector<int>& B) {
int diff = 1, M = A.size(), N = B.size();
for (int i = 0; i < M && i + diff < N; ++i) {
while (i + diff < N && A[i] <= B[i + diff]) ++diff;
}
return diff - 1;
}
};