标签:style blog io ar color sp for on div
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
Analysis:
We set up the state d[i][j] as the minimum number of steps to convert word1[0...i-1] to word2[0...j-1]. According to the three operations, we can convert [0..i-1] to [0..j-1] by
1. convert [0..i-2] to [0..j-1] and delete the char word1[i-1].
2. convert [0..i-1] to [0..j-2] and add the char word2[j-1].
3. convert [0..i-2] to [0..j-2] and replace the char word1[i-1] by the char word2[j-1] if they are not the same; if they are the same, then we don not need the replace operation.
Thus, we have the formula:
d[i][j] = min{ 1. d[i-1][j-1] if word1[i-1]==word2[j-1] or d[i-1][j-1]+1 if word1[i-1]!=word2[j-1]; 2. d[i-1][j]+1; 3. d[i][j-1]+1}
Solution:
1 public class Solution { 2 public int minDistance(String word1, String word2) { 3 int len1 = word1.length(),len2=word2.length(); 4 int[][] d = new int[len1+1][len2+2]; 5 6 for (int i=0;i<=len1;i++) d[i][0]=i; 7 for (int i=0;i<=len2;i++) d[0][i]=i; 8 9 for (int i=1;i<=len1;i++) 10 for (int j=1;j<=len2;j++){ 11 if (word1.charAt(i-1)==word2.charAt(j-1)) 12 d[i][j]=d[i-1][j-1]; 13 else d[i][j]=d[i-1][j-1]+1; 14 15 if (d[i-1][j]+1<d[i][j]) d[i][j]=d[i-1][j]+1; 16 if (d[i][j-1]+1<d[i][j]) d[i][j]=d[i][j-1]+1; 17 18 } 19 20 return d[len1][len2]; 21 } 22 }
标签:style blog io ar color sp for on div
原文地址:http://www.cnblogs.com/lishiblog/p/4120304.html