LeetCode 1923: Longest Common Subpath Solution
Master LeetCode problem 1923 (Longest Common Subpath), a hard challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
1923. Longest Common Subpath
Problem Explanation
Explanation:
To find the longest common subpath shared by all friends' paths, we can use binary search along with the Rabin-Karp algorithm to efficiently check if a subpath length is common among all paths. Here are the steps:
- Initialize the minimum and maximum possible length of the common subpath, which is 1 and the minimum length of all paths respectively.
- Use binary search to find the length of the common subpath. In each iteration:
- Calculate the hash values of subpaths of the given length for each path using Rabin-Karp algorithm.
- Check if any hash value is common among all paths.
- If a common hash value is found, update the minimum possible length. Otherwise, update the maximum possible length.
- Continue the binary search until the minimum length is greater than the maximum length.
Time Complexity: O(n * log(minLen)), where n is the number of paths and minLen is the minimum length of all paths. Space Complexity: O(n * (minLen + maxLength)), where n is the number of paths, minLen is the minimum length of all paths, and maxLength is the maximum length of all paths.
:
Solution Code
class Solution {
public int longestCommonSubpath(int n, int[][] paths) {
int minLen = Integer.MAX_VALUE;
for (int[] path : paths) {
minLen = Math.min(minLen, path.length);
}
int low = 1;
int high = minLen;
while (low <= high) {
int mid = low + (high - low) / 2;
if (isCommon(paths, mid, n)) {
low = mid + 1;
} else {
high = mid - 1;
}
}
return high;
}
private boolean isCommon(int[][] paths, int len, int n) {
// Implement Rabin-Karp algorithm to find common subpath of length 'len'
// Return true if common subpath of length 'len' is found
return false;
}
}Try It Yourself
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