LN : leetcode 730 Count Different Palindromic Subsequences

lc 730 Count Different Palindromic Subsequences

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730 Count Different Palindromic Subsequences

Given a string S, find the number of different non-empty palindromic subsequences in S, and return that number modulo 10^9 + 7.

A subsequence of a string S is obtained by deleting 0 or more characters from S.

A sequence is palindromic if it is equal to the sequence reversed.

Two sequences A_1, A_2, ... and B_1, B_2, ... are different if there is some i for which A_i != B_i.

Example 1:

Input:
S = 'bccb'
Output: 6
Explanation:
The 6 different non-empty palindromic subsequences are 'b', 'c', 'bb', 'cc', 'bcb', 'bccb'.
Note that 'bcb' is counted only once, even though it occurs twice.

Example 2:

Input:
S = 'abcdabcdabcdabcdabcdabcdabcdabcddcbadcbadcbadcbadcbadcbadcbadcba'
Output: 104860361
Explanation:
There are 3104860382 different non-empty palindromic subsequences, which is 104860361 modulo 10^9 + 7.

Note:

The length of S will be in the range [1, 1000].

Each character S[i] will be in the set {'a', 'b', 'c', 'd'}.

带记忆数组 Accepted

虽然题目只要求四个字母，但我们扩展普遍性，这里就做二十六个字母的。带记忆数组和动态规划的本质是差不多的。带记忆数组memo的递归解法，这种解法的思路是一层一层剥洋葱，比如"bccb"，按照字母来剥，先剥字母b，确定最外层"b _ _ b"，这会产生两个回文子序列"b"和"bb"，然后递归进中间的部分，把中间的回文子序列个数算出来加到结果res中，然后开始剥字母c，找到最外层"cc"，此时会产生两个回文子序列"c"和"cc"，然后由于中间没有字符串了，所以递归返回0，按照这种方法就可以算出所有的回文子序列了。

class Solution {
public:
    int countPalindromicSubsequences(string S) {
        int len = S.size();
        vector<vector<int>> dp(len+1, vector<int>(len+1, 0));
        vector<vector<int>> ch(26, vector<int>());
        for (int i = 0; i < len; i++) {
            ch[S[i]-'a'].push_back(i);
        }
        return calc(S, ch, dp, 0, len);
    }
    int calc(string S, vector<vector<int>>& ch, vector<vector<int>>& dp, int start, int end) {
        if (start >= end) return 0;
        if (dp[start][end] > 0) return dp[start][end];
        long ans = 0;
        for (int i = 0; i < 26; i++) {
            if (ch[i].empty()) continue;
            auto new_start = lower_bound(ch[i].begin(), ch[i].end(), start);
            auto new_end = lower_bound(ch[i].begin(), ch[i].end(), end) - 1;
            if (new_start == ch[i].end() || *new_start >= end)  continue;
            ans++;
            if (new_start != new_end)   ans++;
            ans += calc(S, ch, dp, *new_start+1, *new_end);
        }
        dp[start][end] = ans % int(1e9+7);
        return dp[start][end];
    }
};