【LeetCode】Palindrome Partitioning II 解题报告

标签：动态规划   最小割   回文   leetcode   algorithm   

【题目】

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.

【分析】

动态规划的关键是找出动规方程：cutNum[i] = min(cutNum[i], cutNum[j + 1] + 1)

cuntNum[i] 表示字符串 s 从 i 到末尾的子串所需要的最小割数，如果从 i 到 j 的子串为回文串的话，那么最小割数就可能为 j + 1以后的子串的最小割数加上 j 和 j + 1 之间的一割。

【反向动规解法】

public class Solution {
    public int minCut(String s) {
    	if (s == null || s.length() < 2) return 0;
        
        int n = s.length();
        boolean[][] isPalin = new boolean[n][n]; // isPalin[i][j]: is palindrome from i to j
        int[] cutNum = new int[n]; // cutNum[i]: cuts numbers from i to end
        
        for (int i = n - 1; i >= 0; i--) {
            cutNum[i] = n - 1 - i;
            
            for (int j = i; j < n; j++) {
                if (s.charAt(i) == s.charAt(j) && (j - i < 2 || isPalin[i + 1][j - 1]) ) {
                    isPalin[i][j] = true;
                    
                    if (j == n - 1) {
                        cutNum[i] = 0; // s[i...n-1] is palindrome, no need cut
                    } else {
                        cutNum[i] = Math.min(cutNum[i], cutNum[j + 1] + 1);
                    }
                }
            }
        }
        
        return cutNum[0];
    }
}

可能有人对这种从后往前的方式不太习惯，那么可以看下面从前往后的动规方法。

【正向动规解法】

public class Solution {
    public int minCut(String s) {
    	if (s == null || s.length() < 2) return 0;
        
        int n = s.length();
        boolean[][] isPalin = new boolean[n][n]; // isPalin[i][j]: is palindrome from i to j
        int[] cutNum = new int[n]; // cutNum[i]: cuts numbers from 0 to i
        
        for (int i = 0; i < n; i++) {
            cutNum[i] = i;
            
            for (int j = i; j >= 0; j--) {
                if (s.charAt(j) == s.charAt(i) && (i - j < 2 || isPalin[j + 1][i - 1]) ) {
                    isPalin[j][i] = true;
                    
                    if (j == 0) {
                        cutNum[i] = 0; // s[0...i] is palindrome, no need cut
                    } else {
                        cutNum[i] = Math.min(cutNum[i], cutNum[j - 1] + 1);
                    }
                }
            }
        }
        
        return cutNum[n - 1];
    }
}

【LeetCode】Palindrome Partitioning II 解题报告

标签：动态规划   最小割   回文   leetcode   algorithm   

原文地址：http://blog.csdn.net/ljiabin/article/details/41173417