LeetCode – Palindrome Partitioning II (Java)

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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. For example, given s = “aab”, return 1 since the palindrome partitioning [“aa”,”b”] could be produced using 1 cut.

Analysis

This problem is similar to Palindrome Partitioning. It can be efficiently solved by using dynamic programming. Unlike “Palindrome Partitioning“, we need to maintain two cache arrays, one tracks the partition position and one tracks the number of minimum cut.

Java Solution

public int minCut(String s) {
    int n = s.length();
 
	boolean dp[][] = new boolean[n][n];
	int cut[] = new int[n];
 
	for (int j = 0; j < n; j++) {
		cut[j] = j; //set maximum # of cut
		for (int i = 0; i <= j; i++) {
			if (s.charAt(i) == s.charAt(j) && (j - i <= 1 || dp[i+1][j-1])) {
				dp[i][j] = true;
 
				// if need to cut, add 1 to the previous cut[i-1]
				if (i > 0){
					cut[j] = Math.min(cut[j], cut[i-1] + 1);
				}else{
				// if [0...j] is palindrome, no need to cut    
					cut[j] = 0; 
				}	
			}
		}
	}
 
	return cut[n-1];
}

1 thought on “LeetCode – Palindrome Partitioning II (Java)”

  1. public static void pal(String s){

    int n = s.length();

    int [][]dp = new int[n][n];

    int cut[] = new int[n];

    for(int l = 0; l< n; l++){

    cut[l] = n;

    }

    for(int i = 0;i = 0 && ce 0 ? cut[i-1] : 0)));

    }

    }

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