标签:either let exit == orm sea lex -- imu
Problem statement:
Given two words word1 and word2, find the minimum number of steps required to make word1 and word2 the same, where in each step you can delete one character in either string.
Example 1:
Input: "sea", "eat" Output: 2 Explanation: You need one step to make "sea" to "ea" and another step to make "eat" to "ea".
Note:
Solution:
This is a DP solution which is like 72. Edit Distance. DP array is dp[m + 1][n + 1], m = word1.size(), n = word2.size();
dp[i][j] means how many operations need to do if we want word1(0, i) matches word2(0, j).
Initialization:
dp[0][0 ... n] = 0 ... n : means the operations we want to match the word1 and word2 if word1 is empty.
dp[0 ... m][0] = 0 ... m : means the operations we want to match the word1 and word2 if word2 is empty.
DP formula:
There are two situations for dp[i][j]
word1[i] == word2[j] --> dp[i][j] = dp[i - 1][j - 1] --> no need any operation
word1[i] != word2[j] --> dp[i][j] = min(dp[i -1][j], dp[i][j - 1]) + 1 --> find the optimal value from previous choice.
Return value:
dp[m][n] means operations if word1 and word2 matches.
The time complexity is O(m * n)
class Solution { public: int minDistance(string word1, string word2) { int m = word1.size(); int n = word2.size(); int dp[m + 1][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++){ for(int j = 1; j <= n; j++){ if(word1[i - 1] == word2[j - 1]){ 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]; } };
583. Delete Operation for Two Strings
标签:either let exit == orm sea lex -- imu
原文地址:http://www.cnblogs.com/wdw828/p/6854760.html