The best mood |
time limit:1000 MS |
memory limit:65536 K |
total submit:200 |
Total accepted:55 |
RATING:  |
special judge: no |
  |
Description |
As the saying goes, "There is a cloudy moon, people have joys and sorrows." ”。 Although everyone is not so sad, but the mood fluctuations are unavoidable. MM mood will also have fluctuations, mood good mood value is high, mood bad mood value is low, every hour is different, GG want to know mm the longest rise mood value of sub-sequence, so GG just good ... Give the mood value of n hours successively by time E[i],gg requires a longest subsequence, making the subsequence e1< e2<e3<e4. <ek, and makes e1+e2+e3+. +ek and the largest. |
Input |
There are multiple sets of data, for each set of data, the first line is an integer n (<=1000), followed by n integer ei. |
Output |
Each set of data outputs a row that contains two numbers representing the length of the oldest sequence and the and of the subsequence. |
Sample Input |
5 5 4 4) 4 9 |
Sample Output |
2 14 |
Hint |
The mood value E is within the range represented by a 32-bit signed number. |
Source |
Spring Contest 5-binary Search, greedy, DP |
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Ideas:
First we use DP to get the longest increment subsequence, and then we explore the DP "" Array value.
We know that DP "I" represents the longest increment of the length of a subsequence from 0-i, for such a set of examples:
5
5 4 4) 4 9
The corresponding DP values are:
1 1 1) 1 2
It's obvious that the longest increment subsequence has a length of 2, spicy. How do we find the largest and most important? We can choose such a scheme: from the back forward sweep, first sweep dp "I" = = longest increment subsequence length of a "I", and then find the maximum value, record the maximum value of the seat, and then the next time from this seat forward, find DP "I" = the longest increment subsequence length 1 of a "I", then record the maximum value Continues until the DP "I" ==1. These maximum values are then added and combined. So is that a happy ending?
There are examples of such a group:
4
1 9 2 3
The corresponding DP values are:
1 2 2 3
Obviously, we've also pulled down a situation like this. Then we also need to maintain a variable pre, which represents the maximum value of the last sweep evaluated. So that the current sweep to a "I" must be less than the pre to choose to record this a "I".
The idea is built, the last AC code:
#include <stdio.h> #include <string.h> #include <iostream>using namespace std; #define LL Long Long Intll a[10000];int dp[10000];ll output;void dfs (int tmp,int k,int pre) {if (tmp==0) return; int POS; ll Maxn=0; for (int i=k;i>=0;i--) {if (Tmp==dp[i]) {if (A[I]>MAXN) {if (pr e==-1| | A[i]<pre) {pos=i; Maxn=a[i]; }}}} OUTPUT+=MAXN; DFS (TMP-1,POS,MAXN);} int main () {int n; while (~SCANF ("%d", &n)} {if (n==0) break; Memset (Dp,0,sizeof (DP)); for (int i=0; i<n; i++) {scanf ("%lld", &a[i]); } if (n==1) {printf ("1%lld\n", a[0]); Continue } dp[0]=1; int ans=0; for (int i=1; i<n; i++) {int maxn=0; for (int j=0; j<i; J + +) {if (a[j]<a[I]&&DP[J]>MAXN) {maxn=dp[j]; }} dp[i]=maxn+1; Ans=max (Dp[i],ans); } output=0; printf ("%d", ans); DFS (ANS,N-1,-1); printf ("%lld\n", output); }}
hrbust/OJ 1334 Best Mood "max increment sub-sequence && maximum value"