Given two strings text1
and text2
, return the length of their longest common subsequence. If there is no common subsequence, return 0
.
A subsequence of a string is a new string generated from the original string with some characters (can be none) deleted without changing the relative order of the remaining characters.
- For example,
"ace"
is a subsequence of"abcde"
.
A common subsequence of two strings is a subsequence that is common to both strings.
Example 1:
Input: text1 = "abcde", text2 = "ace" Output: 3 Explanation: The longest common subsequence is "ace" and its length is 3.
Example 2:
Input: text1 = "abc", text2 = "abc" Output: 3 Explanation: The longest common subsequence is "abc" and its length is 3.
Example 3:
Input: text1 = "abc", text2 = "def" Output: 0 Explanation: There is no such common subsequence, so the result is 0.
Constraints:
1 <= text1.length, text2.length <= 1000
text1
andtext2
consist of only lowercase English characters.
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class Solution { | |
public: | |
int longestCommonSubsequence(string text1, string text2) { | |
// state var: | |
// i: text1 index, j: text2 index | |
// function: | |
// dp(i, j): LCS of text1[0:i] text2[0:j] -> dp(len(t1), len(t2)) | |
// relation: | |
// dp(i, j) = dp[i-1][j-1] + 1 (if text1[i] == text[j]) or max(dp[i-1][j], d[i][j-1]) | |
// base: | |
// dp[0][x], dp[x][0] = 0 | |
// vars | |
int n = text1.size(); | |
int m = text2.size(); | |
// memo | |
vector<vector<int>> dp(n+1, vector<int>(m+1)); | |
// bottom-up | |
for(int i = 1; i <= n; i++){ | |
for(int j = 1; j <= m; j++){ | |
// relation | |
if(text1[i-1] == text2[j-1]) | |
dp[i][j] = dp[i-1][j-1] + 1; | |
else | |
dp[i][j] = max(dp[i-1][j], dp[i][j-1]); | |
} | |
} | |
// answer | |
return dp[n][m]; | |
} | |
}; |
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