• 0072. Edit Distance (H)


    Edit Distance (H)

    题目

    Given two words word1 and word2, find the minimum number of operations required to convert word1 to word2.

    You have the following 3 operations permitted on a word:

    1. Insert a character
    2. Delete a character
    3. Replace a character

    Example 1:

    Input: word1 = "horse", word2 = "ros"
    Output: 3
    Explanation: 
    horse -> rorse (replace 'h' with 'r')
    rorse -> rose (remove 'r')
    rose -> ros (remove 'e')
    

    Example 2:

    Input: word1 = "intention", word2 = "execution"
    Output: 5
    Explanation: 
    intention -> inention (remove 't')
    inention -> enention (replace 'i' with 'e')
    enention -> exention (replace 'n' with 'x')
    exention -> exection (replace 'n' with 'c')
    exection -> execution (insert 'u')
    

    题意

    提供三种操作:插入一个字符,删除一个字符,替换一个字符,要求使用最少的操作将一个字符串转变为另一个字符串。

    思路

    动态规划。(dp[i][j])表示将(S[0, i - 1])转变为(T[0, j - 1])所需的最少操作数。每次比较S和T的最后一个字符,两种情况:

    1. (S[i - 1] == T[j - 1])。说明只要将(S[0, i - 2])转变为(T[0, j - 2]),有(dp[i][j]=dp[i-1][j-1])

    2. (S[i-1] != T[j-1])。为了使最后一位相同,有三种操作:

      1. 将S的最后一位替换为T的最后一位,有(dp[i][j]=dp[i-1][j-1]+1)
      2. 将S的最后一位删去,有(dp[i][j]=dp[i-1][j]+1)
      3. 将T的最后一位插入到S的最后,有(dp[i][j]=dp[i][j-1]+1)

      取三种情况中的最小值作为(dp[i][j])


    代码实现

    Java

    class Solution {
        public int minDistance(String word1, String word2) {
            int len1 = word1.length(), len2 = word2.length();
            int[][] dp = new int[len1 + 1][len2 + 1];
            for (int i = 0; i <= len1; i++) dp[i][0] = i;
            for (int j = 0; j <= len2; j++) dp[0][j] = j;
            for (int i = 1; i <= len1; i++) {
                for (int j = 1; j <= len2; j++) {
                    if (word1.charAt(i - 1) == word2.charAt(j - 1)) {
                        dp[i][j] = dp[i - 1][j - 1];
                    } else {
                        dp[i][j] = Math.min(Math.min(dp[i - 1][j], dp[i][j - 1]), dp[i - 1][j - 1]) + 1;
                    }
                }
            }
            return dp[len1][len2];
        }
    }
    
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  • 原文地址:https://www.cnblogs.com/mapoos/p/13364173.html
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