• 【leetcode】Edit Distance (hard)


    Given two words word1 and word2, find the minimum number of steps required to convert word1 to word2. (each operation is counted as 1 step.)

    You have the following 3 operations permitted on a word:

    a) Insert a character
    b) Delete a character
    c) Replace a character

    思路:

    这个去年学算法的时候学过,当时觉得好难啊,现在一看,这题真简单。就是一道常规的动态规划题目。直接AC,高兴~~

    用dp[m][n]存储word1的前m个字符与word2的前n个字符的最小匹配距离。

    那么dp[i][j] = dp[i-1][j]+1 (word1删除一个字符)、dp[i][j-1] + 1 (word2删除一个字符)、 dp[i-1][j-1]  + ((word1[i-1]==word2[j-1]) ? 0(当前字符相等) : 1(替换))) 中最小的值。

    class Solution {
    public:
        int minDistance(string word1, string word2) {
            int len1 = word1.length();
            int len2 = word2.length();
            
            vector<vector<int>> dp(len1 + 1, vector<int>(len2 + 1, 0));
            for(int i = 1; i < len1 + 1; i++)
            {
                dp[i][0] = i;
            }
            for(int j = 1; j < len2 + 1; j++)
            {
                dp[0][j] = j;
            }
            for(int i = 1; i < len1 + 1; i++)
            {
                for(int j = 1;j < len2 + 1; j++)
                {
                    dp[i][j] = min(min(dp[i-1][j] + 1, dp[i][j-1] + 1), dp[i-1][j-1] + ((word1[i-1]==word2[j-1]) ? 0 : 1));
                }
            }
            return dp[len1][len2];
        }
    };
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  • 原文地址:https://www.cnblogs.com/dplearning/p/4180430.html
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