Minimum Operations to Make a Rotated Palindrome I - Solution & Explanation
Problem Statement
You are given a string s consisting of lowercase English letters.
You can perform the following operations any number of times (including zero) and in any order:
- Increment: Choose any index
iand replaces[i]with the next lowercase English letter. The letter after'z'is'a'. - Left rotate: Move the first character of the string to the end.
Return the minimum number of operations required to make s a palindrome.
A palindrome is a string that reads the same forward and backward.
Example 1:
Input: s = "abc"
Output: 2
Explanation:
One optimal solution:- Left rotate the string:
"abc" -> "bca". - Increment
'a'to'b':"bca" -> "bcb". "bcb"is a palindrome. Thus, the answer is 2.
Example 2:
Input: s = "yb"
Output: 3
Explanation:
- Increment the first character three times:
"yb" -> "zb" -> "ab" -> "bb". "bb"is a palindrome. Thus, the answer is 3.
Constraints:
2 <= s.length <= 2000sconsists only of lowercase English letters.
Approach Overview
Problem Overview: You are given a string. In one operation, you can move the first character to the end. Return the minimum number of operations needed to make the string a palindrome, or -1 if it's impossible.
Approach 1: Brute Force (O(n²) time, O(n) space)
Try every possible rotation. For each rotation, check if the resulting string is a palindrome by comparing characters from both ends moving inward. The first rotation that works gives the minimum operations. This is straightforward but inefficient for long strings because each palindrome check costs O(n) and there are n rotations.
Approach 2: Concatenation + Sliding Window (O(n) time, O(n) space)
Concatenate the string with itself (e.g., s + s). Then use a sliding window of length n over the doubled string. For each window, check if it's a palindrome using a two-pointer technique. The first window that is a palindrome corresponds to the minimum rotations needed (the starting index of that window). This avoids explicitly building each rotation and reduces the time to O(n) for the checks because you only scan each window once. Space is O(n) for the doubled string.
Approach 3: Manacher's Algorithm (O(n) time, O(n) space)
Manacher's algorithm finds all palindromic substrings in linear time. You can use it to check if any substring of length n in s + s is a palindrome. This is the most advanced approach and rarely needed for interviews, but it's the theoretical optimum if you want to avoid the constant factor of checking every window. It's overkill for this problem.
Recommended for interviews: The sliding window approach is what interviewers expect. It shows you recognize that rotation can be handled by doubling the string and that palindrome checking can be done in O(1) per window if you precompute hashes or simply O(n) total with two pointers. The brute force is fine as a starting point, but you should quickly move to the optimal solution. Manacher's is impressive but unnecessary unless specifically asked.
Related topics: strings, two pointers, sliding window.
Solutions for this problem are being prepared.
Try solving it yourselfDetailed Complexity Analysis
| Approach | Time | Space | When to Use |
|---|---|---|---|
| Brute Force | O(n²) | O(1) | Small inputs or when you need a quick proof of concept |
| Sliding Window on Doubled String | O(n) | O(n) | General case, interview-friendly |
| Manacher's Algorithm | O(n) | O(n) | When you need the theoretical best and are comfortable with complex algorithms |
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