代码随想录算法训练营第55天｜583. 两个字符串的删除操作，72. 编辑距离

583. 两个字符串的删除操作

class Solution {
public:
    int minDistance(string word1, string word2) {
        int m = word1.size();
        int n = word2.size();
        vector<vector<int>> dp(m + 1, vector<int>(n + 1));
 
        for (int i = 1; i <= m; ++i) {
            dp[i][0] = i;
        }
        for (int j = 1; j <= n; ++j) {
            dp[0][j] = j;
        }
        for (int i = 1; i <= m; i++) {
            char c1 = word1[i - 1];
            for (int j = 1; j <= n; j++) {
                char c2 = word2[j - 1];
                if (c1 == c2) {
                    dp[i][j] = dp[i - 1][j - 1];
                } else {
                    dp[i][j] = min(dp[i - 1][j], dp[i][j - 1]) + 1;
                }
            }
        }
 
        return dp[m][n];
    }
};

java版：

class Solution {
    public int minDistance(String word1, String word2) {
        int m = word1.length(), n = word2.length();
        int[][] dp = new int[m + 1][n + 1];
        for (int i = 1; i <= m; i++) {
            char c1 = word1.charAt(i - 1);
            for (int j = 1; j <= n; j++) {
                char c2 = word2.charAt(j - 1);
                if (c1 == c2) {
                    dp[i][j] = dp[i - 1][j - 1] + 1;
                } else {
                    dp[i][j] = Math.max(dp[i - 1][j], dp[i][j - 1]);
                }
            }
        }
        int lcs = dp[m][n];
        return m - lcs + n - lcs;
    }
}

72. 编辑距离

class Solution {
public:
    int minDistance(string word1, string word2) {
        int n = word1.length();
        int m = word2.length();
 
        if (n * m == 0) return n + m;
 
        vector<vector<int>> D(n + 1, vector<int>(m + 1));
 
        for (int i = 0; i < n + 1; i++) {
            D[i][0] = i;
        }
        for (int j = 0; j < m + 1; j++) {
            D[0][j] = j;
        }
 
        for (int i = 1; i < n + 1; i++) {
            for (int j = 1; j < m + 1; j++) {
                int left = D[i - 1][j] + 1;
                int down = D[i][j - 1] + 1;
                int left_down = D[i - 1][j - 1];
                if (word1[i - 1] != word2[j - 1]) left_down += 1;
                D[i][j] = min(left, min(down, left_down));
 
            }
        }
        return D[n][m];
    }
};

java版：

class Solution {
    public int minDistance(String word1, String word2) {
        int n = word1.length();
        int m = word2.length();
 
        // 有一个字符串为空串
        if (n * m == 0) {
            return n + m;
        }
 
        // DP 数组
        int[][] D = new int[n + 1][m + 1];
 
        // 边界状态初始化
        for (int i = 0; i < n + 1; i++) {
            D[i][0] = i;
        }
        for (int j = 0; j < m + 1; j++) {
            D[0][j] = j;
        }
 
        // 计算所有 DP 值
        for (int i = 1; i < n + 1; i++) {
            for (int j = 1; j < m + 1; j++) {
                int left = D[i - 1][j] + 1;
                int down = D[i][j - 1] + 1;
                int left_down = D[i - 1][j - 1];
                if (word1.charAt(i - 1) != word2.charAt(j - 1)) {
                    left_down += 1;
                }
                D[i][j] = Math.min(left, Math.min(down, left_down));
            }
        }
        return D[n][m];
    }
}