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Java-based LeetCode algorithm problem solutions, regularly updated
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package g1101_1200.s1143_longest_common_subsequence;
// #Medium #Top_100_Liked_Questions #String #Dynamic_Programming
// #Algorithm_II_Day_17_Dynamic_Programming #Dynamic_Programming_I_Day_19
// #Udemy_Dynamic_Programming #Big_O_Time_O(n*m)_Space_O(n*m)
// #2024_11_17_Time_19_ms_(89.05%)_Space_50.9_MB_(33.70%)
public class Solution {
public int longestCommonSubsequence(String text1, String text2) {
int n = text1.length();
int m = text2.length();
int[][] dp = new int[n + 1][m + 1];
for (int i = 1; i <= n; i++) {
for (int j = 1; j <= m; j++) {
if (text1.charAt(i - 1) == text2.charAt(j - 1)) {
dp[i][j] = dp[i - 1][j - 1] + 1;
} else {
dp[i][j] = Math.max(dp[i - 1][j], dp[i][j - 1]);
}
}
}
return dp[n][m];
}
}
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