#2193

Minimum Number of Moves to Make Palindrome

Hard
Two PointersStringGreedyBinary Indexed TreeTwo PointersGreedyString Manipulation
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Approaches

Brute ForceOptimal
Complexity Comparison
Brute ForceOptimal Solution
Time
O(n²)
O(n)
Space
O(1)
O(n)
💡

Intuition

Time O(n)Space O(n)

The optimal solution uses a greedy approach with two pointers to minimize the number of swaps needed to form a palindrome. By always trying to match characters from the outer ends towards the center, we can efficiently determine the minimum moves.

⚙️

Algorithm

6 steps
  1. 1Step 1: Initialize two pointers, left at the start and right at the end of the string.
  2. 2Step 2: While left is less than right, check if characters at both pointers match.
  3. 3Step 3: If they match, move both pointers inward.
  4. 4Step 4: If they do not match, find the nearest matching character for the left pointer by moving the right pointer leftward.
  5. 5Step 5: Count the number of swaps needed to bring the matching character next to the left pointer.
  6. 6Step 6: Increment the move counter and continue until the pointers meet.
solution.py29 lines
1# Full working Python code
2
3def min_moves_to_palindrome(s):
4    s = list(s)
5    moves = 0
6    left, right = 0, len(s) - 1
7    while left < right:
8        if s[left] == s[right]:
9            left += 1
10            right -= 1
11        else:
12            r = right
13            while r > left and s[left] != s[r]:
14                r -= 1
15            if r == left:
16                # No match found, swap left with left + 1
17                s[left], s[left + 1] = s[left + 1], s[left]
18                moves += 1
19            else:
20                # Move the matching character to the right
21                for i in range(r, right):
22                    s[i], s[i + 1] = s[i + 1], s[i]
23                    moves += 1
24                left += 1
25                right -= 1
26    return moves
27
28# Example usage
29print(min_moves_to_palindrome('letelt'))  # Output: 2

Complexity note: The time complexity is O(n) because we only traverse the string a limited number of times, making it efficient. The space complexity is O(n) due to the character array used to manipulate the string.

  • 1Greedy strategies often yield optimal solutions for problems involving order and arrangement.
  • 2Two pointers can effectively reduce the complexity of problems involving pairs or sequences.

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