Longest Palindromic Subsequence

medium string dp

Problem

Given a string s, return the length of its longest palindromic subsequence — a sequence that reads the same forwards and backwards but is not required to be contiguous.

Inputs = "bbbab"
Output4
"bbbb" is a palindromic subsequence of length 4.

def longest_palindrome_subseq(s):
    n = len(s)
    dp = [[0] * n for _ in range(n)]
    for i in range(n):
        dp[i][i] = 1
    for length in range(2, n + 1):
        for i in range(n - length + 1):
            j = i + length - 1
            if s[i] == s[j]:
                dp[i][j] = (dp[i + 1][j - 1] if length > 2 else 0) + 2
            else:
                dp[i][j] = max(dp[i + 1][j], dp[i][j - 1])
    return dp[0][n - 1]
function longestPalindromeSubseq(s) {
  const n = s.length;
  const dp = Array.from({ length: n }, () => new Array(n).fill(0));
  for (let i = 0; i < n; i++) dp[i][i] = 1;
  for (let len = 2; len <= n; len++) {
    for (let i = 0; i + len - 1 < n; i++) {
      const j = i + len - 1;
      if (s[i] === s[j]) dp[i][j] = (len > 2 ? dp[i + 1][j - 1] : 0) + 2;
      else dp[i][j] = Math.max(dp[i + 1][j], dp[i][j - 1]);
    }
  }
  return dp[0][n - 1];
}
class Solution {
    public int longestPalindromeSubseq(String s) {
        int n = s.length();
        int[][] dp = new int[n][n];
        for (int i = 0; i < n; i++) dp[i][i] = 1;
        for (int len = 2; len <= n; len++) {
            for (int i = 0; i + len - 1 < n; i++) {
                int j = i + len - 1;
                if (s.charAt(i) == s.charAt(j)) {
                    dp[i][j] = (len > 2 ? dp[i + 1][j - 1] : 0) + 2;
                } else {
                    dp[i][j] = Math.max(dp[i + 1][j], dp[i][j - 1]);
                }
            }
        }
        return dp[0][n - 1];
    }
}
int longestPalindromeSubseq(string s) {
    int n = s.size();
    vector<vector<int>> dp(n, vector<int>(n, 0));
    for (int i = 0; i < n; i++) dp[i][i] = 1;
    for (int len = 2; len <= n; len++) {
        for (int i = 0; i + len - 1 < n; i++) {
            int j = i + len - 1;
            if (s[i] == s[j]) dp[i][j] = (len > 2 ? dp[i + 1][j - 1] : 0) + 2;
            else dp[i][j] = max(dp[i + 1][j], dp[i][j - 1]);
        }
    }
    return dp[0][n - 1];
}
Time: O(n²) Space: O(n²)