Implement regular expression matching with support for '.' and '*'. '.' Matches any single character. '*' Matches zero or more of the preceding element. The matching should cover the entire input string (not partial). The function prototype should be: bool isMatch(const char *s, const char *p) Some examples: isMatch("aa","a") → false isMatch("aa","aa") → true isMatch("aaa","aa") → false isMatch("aa", "a*") → true isMatch("aa", ".*") → true isMatch("ab", ".*") → true isMatch("aab", "c*a*b") → true
难度:100,情况分得太多太细,跟Wildcard Matching很像又比那个难多了,refer to: https://discuss.leetcode.com/topic/40371/easy-dp-java-solution-with-detailed-explanation
Here are some conditions to figure out, then the logic can be very straightforward.
1, If p.charAt(j) == s.charAt(i) : dp[i][j] = dp[i-1][j-1];
2, If p.charAt(j) == '.' : dp[i][j] = dp[i-1][j-1];
3, If p.charAt(j) == '*':
here are two sub conditions:
1 if p.charAt(j-1) != s.charAt(i) : dp[i][j] = dp[i][j-2] //in this case, a* only counts as empty
2 if p.charAt(j-1) == s.charAt(i) or p.charAt(j-1) == '.':
dp[i][j] = dp[i-1][j] //in this case, a* counts as multiple a (s.charAt(i) of course match with * since s.charAt(i)==p.charAt(j-1))
or dp[i][j] = dp[i][j-1] // in this case, a* counts as single a
or dp[i][j] = dp[i][j-2] // in this case, a* counts as empty
1 public class Solution { 2 public boolean isMatch(String s, String p) { 3 4 if (s == null || p == null) { 5 return false; 6 } 7 boolean[][] dp = new boolean[s.length()+1][p.length()+1]; 8 dp[0][0] = true; 9 for (int i = 0; i < p.length(); i++) { 10 if (p.charAt(i) == '*' && dp[0][i-1]) { 11 dp[0][i+1] = true; 12 } 13 } 14 for (int i = 0 ; i < s.length(); i++) { 15 for (int j = 0; j < p.length(); j++) { 16 if (p.charAt(j) == '.') { 17 dp[i+1][j+1] = dp[i][j]; 18 } 19 if (p.charAt(j) == s.charAt(i)) { 20 dp[i+1][j+1] = dp[i][j]; 21 } 22 if (p.charAt(j) == '*') { 23 if (p.charAt(j-1) != s.charAt(i) && p.charAt(j-1) != '.') { 24 dp[i+1][j+1] = dp[i+1][j-1]; 25 } else { 26 dp[i+1][j+1] = (dp[i+1][j] || dp[i][j+1] || dp[i+1][j-1]); 27 } 28 } 29 } 30 } 31 return dp[s.length()][p.length()]; 32 } 33 }
一样的思路,我更习惯的dp方法:
1 public class Solution { 2 public boolean isMatch(String s, String p) { 3 4 if (s == null || p == null) { 5 return false; 6 } 7 boolean[][] dp = new boolean[s.length()+1][p.length()+1]; 8 dp[0][0] = true; 9 for (int i = 1; i <= p.length(); i++) { 10 if (p.charAt(i-1) == '*' && dp[0][i-2]) { 11 dp[0][i] = true; 12 } 13 } 14 for (int i = 1 ; i <= s.length(); i++) { 15 for (int j = 1; j <= p.length(); j++) { 16 if (p.charAt(j-1) == '.' || p.charAt(j-1) == s.charAt(i-1)) { 17 dp[i][j] = dp[i-1][j-1]; 18 } 19 20 if (p.charAt(j-1) == '*') { 21 if (p.charAt(j-2) != s.charAt(i-1) && p.charAt(j-2) != '.') { 22 dp[i][j] = dp[i][j-2]; 23 } else { // p.charAt(j-2)==s.charAt(i-1) || p.charAt(j-2)=='.' 24 dp[i][j] = (dp[i-1][j] || dp[i][j-1] || dp[i][j-2]); 25 } 26 } 27 } 28 } 29 return dp[s.length()][p.length()]; 30 } 31 }