LeetCode 2014: Longest Subsequence Repeated k Times Solution
Master LeetCode problem 2014 (Longest Subsequence Repeated k Times), 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.
2014. Longest Subsequence Repeated k Times
Problem Explanation
Explanation:
To solve this problem, we can iterate through all possible subsequences of the given string s and check if each subsequence can be repeated k times in the original string. We can achieve this by using a recursive function to generate all subsequences and a helper function to check if a subsequence can be repeated k times.
Here are the detailed steps:
- Create a recursive function to generate all subsequences of the given string
s. - For each subsequence generated, check if it can be repeated
ktimes in the original string using a helper function. - Keep track of the longest subsequence that can be repeated
ktimes and return the lexicographically largest one.
Time Complexity:
The time complexity of this approach is O(2^n * n) where n is the length of the input string s.
Space Complexity:
The space complexity of this approach is O(n) for the recursive stack.
:
Solution Code
class Solution {
String longestSubsequenceRepeatedK(String s, int k) {
String res = "";
generateSubsequences(s, k, "", 0, res);
return res;
}
void generateSubsequences(String s, int k, String current, int index, String res) {
if (current.length() > res.length() && isRepeatedKTimes(s, current, k)) {
res = current;
}
for (int i = index; i < s.length(); i++) {
generateSubsequences(s, k, current + s.charAt(i), i + 1, res);
}
}
boolean isRepeatedKTimes(String s, String subseq, int k) {
StringBuilder sb = new StringBuilder();
for (int i = 0; i < k; i++) {
sb.append(subseq);
}
int sIndex = 0;
int subIndex = 0;
while (sIndex < s.length() && subIndex < sb.length()) {
if (s.charAt(sIndex) == sb.charAt(subIndex)) {
subIndex++;
}
sIndex++;
}
return subIndex == sb.length();
}
}Try It Yourself
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