Description
We give the following inductive definition of a “regular brackets” sequence:
- the empty sequence is a regular brackets sequence,
- if s is a regular brackets sequence, then (s) and [s] are regular brackets sequences, and
- if a and b are regular brackets sequences, then ab is a regular brackets sequence.
- no other sequence is a regular brackets sequence
For instance, all of the following character sequences are regular brackets sequences:
(), [], (()), ()[], ()[()]
while the following character sequences are not:
(, ], )(, ([)], ([(]
Given a brackets sequence of characters a1a2 … an, your goal is to find the length of the longest regular brackets sequence that is a subsequence of s. That is, you wish to find the largest m such that for indices i1, i2, …, im where 1 ≤ i1 < i2 < … < im ≤ n, ai1ai2 … aim is a regular brackets sequence.
Given the initial sequence ([([]])]
, the longest regular brackets subsequence is [([])]
.
Input
The input test file will contain multiple test cases. Each input test case consists of a single line containing only the characters (
, )
, [
, and ]
; each input test will have length between 1 and 100, inclusive. The end-of-file is marked by a line containing the word “end” and should not be processed.
Output
For each input case, the program should print the length of the longest possible regular brackets subsequence on a single line.
Sample Input
((())) ()()() ([]]) )[)( ([][][) end
Sample Output
6 6 4 0 6
题意:求括号匹配的最大数量
区间dp模板题吧。。 今天复习一下 状态转移看代码
ac代码:
#include <cstdio> #include <cstring> #include <iostream> #include <queue> #include <stack> #include <string> #define mt(a) memset(a,0,sizeof(a)) using namespace std; int dp[105][105]; int main() { string s; while(cin>>s) { if(s=="end") break; mt(dp); int len=s.size(); for(int l=2;l<=len;l++) { for(int i=0;i+l-1<len;i++) { int j=i+l-1; for(int k=i;k<j;k++) { if((s[k]=='(' && s[j]==')') || (s[k]=='[' && s[j]==']')) { dp[i][j]=max(dp[i][j],dp[i][k]+dp[k+1][j-1]+2);// 区间dp的状态转移是典型的用小区间去推出大区间 我们这里枚举每个长度内可以匹配的最大值 } else dp[i][j]=max(dp[i][j],max(dp[i][k],dp[k][j]));// 匹配不了就找出子区间的最大值 } } } cout<<dp[0][len-1]<<endl; } return 0; }