dp to store palindrome information such that dp[i][j] is true if s[i...j] is a palindrome.dp[i][i] to true for all i (single character is a palindrome).dp[i][i+1] to true if s[i] == s[i+1] for all i (two same characters next to each other are a palindrome).dp using dynamic programming. For each length l from 3 to n, check for all i if s[i] == s[i+l-1] and dp[i+1][i+l-2] is true, then set dp[i][i+l-1] to true.solve(i) that returns the maximum number of palindromic substrings starting from index i.solve(i), if i is at the end of the string, return 0.memo[i] is not -1, return memo[i] (use memoization).result to solve(i+1) (skip the current index).j from i+k to n, if dp[i][j-1] is true, set result to the maximum of result and solve(j)+1.result in memo[i] and return it.solve(0) and return its result as the final answer.