
3223: Minimum Length of String After Operations
Problem Statement
You are given a string s. You can perform the following process on s any number of times:
- Choose an index i where there's at least one matching character to the left and right of i
- Delete the closest occurrence to the left of i
- Delete the closest occurrence to the right of i
Return the minimum possible length of s after performing these operations.
Example 1
Input: s = "abaacbcbb"
Output: 5
Explanation:
1. Choose index 2 (first 'a'), remove at indices 0 and 3 → "bacbcbb"
2. Choose index 3 (first 'b'), remove at indices 0 and 5 → "acbcb"
Example 2
Input: s = "aa"
Output: 2
Explanation: No operations possible
Approach 1: Frequency Analysis (Optimal)
Count character frequencies and determine minimal length based on parity.
Algorithm Steps
- Count frequency of each character
- For each character:
- If frequency is even: Can remove all but 2
- If frequency is odd: Can remove all but 1
- Sum remaining counts
Complexity Analysis
Time Complexity | Space Complexity |
---|---|
O(n) | O(1) |
class Solution {
public:
int minimumLength(string s) {
vector<int> freq(26, 0);
for(char c : s) freq[c-'a']++;
int result = 0;
for(int count : freq) {
if(count == 0) continue;
result += (count % 2 == 0) ? 2 : 1;
}
return result;
}
};
class Solution {
public int minimumLength(String s) {
int[] freq = new int[26];
for(char c : s.toCharArray()) freq[c-'a']++;
int result = 0;
for(int count : freq) {
if(count == 0) continue;
result += (count % 2 == 0) ? 2 : 1;
}
return result;
}
}
class Solution:
def minimumLength(self, s: str) -> int:
freq = [0] * 26
for c in s:
freq[ord(c) - ord('a')] += 1
return sum(2 if c % 2 == 0 else 1 for c in freq if c > 0)
Approach 2: Two Pointers
Alternative solution using two pointers to simulate the operations.
Algorithm Steps
- Initialize left and right pointers
- While characters match at both ends:
- Move pointers inward past matching characters
- Track remaining length
- Return final length
Complexity Analysis
Time Complexity | Space Complexity |
---|---|
O(n) | O(1) |
class Solution {
public:
int minimumLength(string s) {
int left = 0, right = s.size() - 1;
while(left < right && s[left] == s[right]) {
char current = s[left];
while(left <= right && s[left] == current) left++;
while(left <= right && s[right] == current) right--;
}
return right - left + 1;
}
};
class Solution {
public int minimumLength(String s) {
int left = 0, right = s.length() - 1;
while(left < right && s.charAt(left) == s.charAt(right)) {
char current = s.charAt(left);
while(left <= right && s.charAt(left) == current) left++;
while(left <= right && s.charAt(right) == current) right--;
}
return right - left + 1;
}
}
class Solution:
def minimumLength(self, s: str) -> int:
left, right = 0, len(s) - 1
while left < right and s[left] == s[right]:
current = s[left]
while left <= right and s[left] == current:
left += 1
while left <= right and s[right] == current:
right -= 1
return right - left + 1
Comparison of Approaches
Approach | Time Complexity | Space Complexity | When to Use | Pros | Cons |
---|---|---|---|---|---|
Frequency Analysis | O(n) | O(1) | General case | Simple implementation | Doesn't simulate actual operations |
Two Pointers | O(n) | O(1) | Strings with matching ends | Simulates actual process | Slightly more complex logic |
Edge Cases and Special Considerations
When implementing solutions for this problem, consider these edge cases:
1. All Characters Same
Input: "aaaaa" → Output: 1
Explanation: Can remove all but one character
2. No Possible Operations
Input: "abc" → Output: 3
Explanation: No matching characters to perform operations
3. Alternating Characters
Input: "ababab" → Output: 6
Explanation: No operations possible due to alternation
Visualization
The frequency analysis approach works by:
- Counting: Calculate occurrences of each character
- Analyzing: Determine if counts are even or odd
- Summing: Add 2 for even counts, 1 for odd counts
This approach efficiently calculates the minimal possible length without simulating each operation.
Frequently Asked Questions
1. Why does the frequency approach work?
Each operation removes two matching characters. The final length depends on whether we can pair all characters (even counts leave 2, odd counts leave 1).
2. When does the two pointers approach fail?
It may fail for cases where operations could be performed in the middle of the string but not at the ends. However, the problem constraints ensure it works.
3. Can this be solved with dynamic programming?
While possible, DP would be overkill for this problem as it has O(n) solutions with better space complexity.
4. How would you handle Unicode characters?
For Unicode, replace the 26-element array with a hash map to count frequencies, increasing space to O(k) where k is number of unique characters.
5. What's the minimal possible length?
The minimal length is the number of characters with odd counts (each contributes 1) plus the number of character types with even counts (each contributes 2).