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This method employs two pointers to traverse both arrays simultaneously. Start with `i` at the beginning of `nums1` and `j` at the beginning of `nums2`. Try to find the largest `j` for each `i` while maintaining the condition `nums1[i] <= nums2[j]` and `i <= j`. The distance `j - i` is calculated and the maximum one is stored. Iterate through both arrays by incrementing `j` while ensuring the condition holds true, otherwise increment `i`.
Time Complexity: O(n + m), where n and m are lengths of nums1 and nums2 respectively.
Space Complexity: O(1), only a few variables are used.
1public class Solution {
2 public int MaxDistance(int[] nums1, int[] nums2) {
3 int i = 0, j = 0, maxDist = 0;
4 while (i < nums1.Length && j < nums2.Length) {
5 if (nums1[i] <= nums2[j]) {
6 maxDist = Math.Max(maxDist, j - i);
7 j++;
8 } else {
9 i++;
10 }
11 }
12 return maxDist;
13 }
14}This C# implementation uses the same logic, utilizing the `Math.Max` method to maintain the largest found distance during traversal within the given conditions.
Utilizing binary search on `nums2` for each element in `nums1` can optimize the search for each valid `j` index. This approach leverages the sorted nature of the arrays. For each element in `nums1`, perform a binary search in `nums2` to find the farthest possible valid `j`.
Time Complexity: O(n * log(m)), where n is the length of nums1 and m is the length of nums2.
Space Complexity: O(1).
1
In this Java solution, a helper method `binarySearch` is crafted to find the farthest valid index `j` for each element in `nums1`, returning the maximum valid distance.