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hdu 5087 Revenge of LIS II lcs变形
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Revenge of LIS II
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others)Total Submission(s): 1028 Accepted Submission(s): 334
Problem Description
In computer science, the longest increasing subsequence problem is to find a subsequence of a given sequence in which the subsequence‘s elements are in sorted order, lowest to highest, and in which the subsequence is as long as possible. This subsequence is not necessarily contiguous, or unique.
---Wikipedia
Today, LIS takes revenge on you, again. You mission is not calculating the length of longest increasing subsequence, but the length of the second longest increasing subsequence.
Two subsequence is different if and only they have different length, or have at least one different element index in the same place. And second longest increasing subsequence of sequence S indicates the second largest one while sorting all the increasing subsequences of S by its length.
---Wikipedia
Today, LIS takes revenge on you, again. You mission is not calculating the length of longest increasing subsequence, but the length of the second longest increasing subsequence.
Two subsequence is different if and only they have different length, or have at least one different element index in the same place. And second longest increasing subsequence of sequence S indicates the second largest one while sorting all the increasing subsequences of S by its length.
Input
The first line contains a single integer T, indicating the number of test cases.
Each test case begins with an integer N, indicating the length of the sequence. Then N integer Ai follows, indicating the sequence.
[Technical Specification]
1. 1 <= T <= 100
2. 2 <= N <= 1000
3. 1 <= Ai <= 1 000 000 000
Each test case begins with an integer N, indicating the length of the sequence. Then N integer Ai follows, indicating the sequence.
[Technical Specification]
1. 1 <= T <= 100
2. 2 <= N <= 1000
3. 1 <= Ai <= 1 000 000 000
Output
For each test case, output the length of the second longest increasing subsequence.
Sample Input
3 2 1 1 4 1 2 3 4 5 1 1 2 2 2
Sample Output
1 3 2HintFor the first sequence, there are two increasing subsequence: [1], [1]. So the length of the second longest increasing subsequence is also 1, same with the length of LIS.
普通lcs再sort是不对的
反例 :
1 1 2
方法一:
统计到每个长度的个数
#include<cstdio> #include<cstring> int max(int a,int b) { return a>b?a:b; } long long cnt[1111]; int a[1111],dp[1111]; int main() { int t,n; scanf("%d",&t); while(t--) { scanf("%d",&n); for(int i=1;i<=n;i++) scanf("%d",&a[i]); for(int i=1;i<=n;i++) cnt[i]=1; int ans=0; long long num=0; for(int i=1;i<=n;i++) { cnt[i]=1; dp[i]=1; for(int j=1;j<i;j++) { if(a[j]<a[i]) { if(dp[i]<dp[j]+1) { dp[i]=dp[j]+1; cnt[i]=cnt[j]; } else if(dp[i]==dp[j]+1) cnt[i]+=cnt[j]; } } ans=max(ans,dp[i]); } for(int i=1;i<=n;i++) { if(dp[i]==ans) num+=cnt[i]; } if(num==1) printf("%d\n",ans-1); else if(num>1) printf("%d\n",ans); } return 0; }
方法二:
求lcs的第K优解 开二维的dp
#include<cstdio> #include<cstring> #include<algorithm> using namespace std; int dp[1111][3]; int a[1111]; int ans[2222]; int main() { int t,n; int s[10]; scanf("%d",&t); while(t--) { scanf("%d",&n); for(int i=1;i<=n;i++) scanf("%d",&a[i]); memset(dp,0,sizeof(dp)); int xx=0; for(int i=1;i<=n;i++) { dp[i][0]=1; dp[i][1]=0; for(int j=1;j<i;j++) { if(a[j]<a[i]) { s[0]=dp[j][0]+1; s[1]=dp[j][1]+1; s[2]=dp[i][0]; s[3]=dp[i][1]; sort(s,s+4); dp[i][0]=s[3]; dp[i][1]=s[2]; } } ans[xx++]=dp[i][0]; ans[xx++]=dp[i][1]; } sort(ans,ans+2*n); printf("%d\n",ans[xx-2]); } return 0; }
hdu 5087 Revenge of LIS II lcs变形
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