Palindrome Partitioning II — LeetCode 132 Python Solution
- Problem
- #132
- Pattern
- Dynamic Programming
- Reading time
- 2 min
- Source
- leetcode.com
The problem
Given a string s, partition s such that every substring of the partition is a palindrome. Return the minimum cuts needed for a palindrome partitioning of s.
Example
- Input
- s = "aab"
- Output
- 1
- Explanation
- The palindrome partitioning ["aa","b"] could be produced using 1 cut.
Python solution
class Solution:
def minCut(self, s: str) -> int:
n = len(s)
g = [[True] * n for _ in range(n)]
for i in range(n - 1, -1, -1):
for j in range(i + 1, n):
g[i][j] = s[i] == s[j] and g[i + 1][j - 1]
f = list(range(n))
for i in range(1, n):
for j in range(i + 1):
if g[j][i]:
f[i] = min(f[i], 1 + f[j - 1] if j else 0)
return f[-1]Complexity
| Measure | Complexity |
|---|---|
| Time | O(n^2) |
| Space | O(n^2) auxiliary |
Pattern: Dynamic Programming
Define a state, write the transition, and stop recomputing the same subproblem. LeetCode 132. Palindrome Partitioning II is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Dynamic Programming.
The dynamic programming guide has the Python template for the pattern and the 481 LeetCode problems that use it.
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Frequently asked questions
- How hard is LeetCode 132. Palindrome Partitioning II?
- LeetCode 132. Palindrome Partitioning II is rated Hard on LeetCode.
- What is the time complexity of LeetCode 132. Palindrome Partitioning II?
- The Python solution on this page runs in O(n^2).
- What is the space complexity of LeetCode 132. Palindrome Partitioning II?
- The Python solution on this page uses O(n^2) auxiliary space.
- What topics does LeetCode 132. Palindrome Partitioning II cover?
- LeetCode 132. Palindrome Partitioning II is tagged String and Dynamic Programming on LeetCode.