(字符串动态规划)一个字符串变成另一个字符串的步骤数
给定两个字word1和word2,找到将word1转换为word2所需的最小步骤数。 (每个操作计为1步)。
您对单词允许以下3种操作:
a)插入字符
b)删除字符
c)替换字符
*思路:
dp[i][j]指把word1[0…i - 1]转换为word2[0…j - 1] 的最小操作数。
边界条件:
dp[i][0] = i; 从长度为 i 的字符串转为空串 要删除 i 次
dp[0][j] = j. 从空串转为长度为 j 的字符串 要添加 j 次
一般情况:
如果word[i - 1] == word2[j - 1],则dp[i][j] = dp[i - 1][j - 1],因为不需要进行操作,即操作数为0.
如果word[i - 1] != word2[j - 1],则需考虑三种情况,取最小值:
Replace word1[i - 1] by word2[j - 1]: (dp[i][j] = dp[i - 1][j - 1] + 1 (for replacement));
Delete word1[i - 1]: (dp[i][j] = dp[i - 1][j] + 1 (for deletion));
Insert word2[j - 1] to word1[0…i - 1]: (dp[i][j] = dp[i][j - 1] + 1 (for insertion)).
代码:
class Solution {
public:
int minDistance(string word1, string word2) {
int row = word1.size();
int col = word2.size();
vector<vector<int> >dp(row+1, vector<int>(col+1, 0));
for (int i=1; i<=row; i++)
dp[i][0] = i;//从长度为i的字符串到空串需要变换i次
for (int j=1; j<=col; j++)
dp[0][j] = j;//从长度为kong的字符串到长度为j的字符串需要变换j次
for (int i=1; i<=row; i++){
for (int j=1; j<=col; j++){
if (word1[i-1] == word2[j-1])
dp[i][j] = dp[i-1][j-1];
else
dp[i][j] = min(min(dp[i-1][j-1]+1,dp[i-1][j] +1), dp[i][j-1]+1 );
}
}
return dp[row][col];
}
};