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2025-12-15
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Dynamic Programming
Problem:
Let is the length of the palindromic substring, ifis not a palindromic substring, then , otherwise,; therefore, the substring length Whether it is a palindromic substring depends on the palindromic substring of len-1, so when looping, you should loop in increasing order of len.
When initializing:
- When len == 1, ;
- When len == 2, (if )
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647 | using std::string;using std::vector;class Solution { public: string longestPalindrome(string s) { int i, j, len, end_idx, n = s.size(); int max_len = 1, reti = 0; // dp[i][j] being 0 means s[i..j] is not a palindromic string, greater than 0 means j-i+1 vector<vector<int> > dp(n, vector<int>(n, 0)); for (i = 0; i < n; i++) { // len == 1 dp[i][i] = 1; } len = 2; for (i = 0; i + len - 1 < n; i++) { // len == 2 if (s[i] == s[i + len - 1]) { dp[i][i + len - 1] = 2; if (dp[i][i + len - 1] > max_len) { max_len = dp[i][i + len - 1]; reti = i; } } } for (len = 3; len <= n; len++) { for (i = 0; i + len - 1 < n; i++) { // s[i..i+len-1] end_idx = i + len - 1; if (s[i] == s[end_idx] && dp[i + 1][end_idx - 1] != 0) { dp[i][end_idx] = dp[i + 1][end_idx - 1] + 2; if (dp[i][end_idx] > max_len) { max_len = dp[i][end_idx]; reti = i; } } } } return s.substr(reti, max_len); }}; |
leetcode hot 100 rewrite:
Pay attention to the dependency relationship. If the earlier depends on the later, iterate from back to front; otherwise, iterate from front to back.
1234567891011121314151617181920212223242526272829303132333435363738394041 | using std::string;using std::vector;class Solution { public: string longestPalindrome(string s) { int i, j, n = s.size(); int max_len = 1, start = 0; vector<vector<int> > dp(n, vector<int>(n, 0)); for (i = 0; i < n; i++) dp[i][i] = 1; for (i = n - 1; i >= 0; i--) { for (j = i + 1; j < n; j++) { if (s[j] == s[i]) { if (j - i == 1) dp[i][j] = 2; else if (j - i > 1 && dp[i + 1][j - 1] > 0) dp[i][j] = dp[i + 1][j - 1] + 2; else dp[i][j] = 0; if (dp[i][j] > max_len) { max_len = dp[i][j]; start = i; } } else { dp[i][j] = 0; } } } return s.substr(start, max_len); }}; |
