Bomb
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 131072/65536 K (Java/Others)Total Submission(s): 20583 Accepted Submission(s): 7705
Problem Description
The counter-terrorists found a time bomb in the dust. But this time the terrorists improve on the time bomb. The number sequence of the time bomb counts from 1 to N. If the current number sequence includes the sub-sequence "49", the power of the blast would
add one point.
Now the counter-terrorist knows the number N. They want to know the final points of the power. Can you help them?
Now the counter-terrorist knows the number N. They want to know the final points of the power. Can you help them?
Input
The first line of input consists of an integer T (1 <= T <= 10000), indicating the number of test cases. For each test case, there will be an integer N (1 <= N <= 2^63-1) as the description.
The input terminates by end of file marker.
The input terminates by end of file marker.
Output
For each test case, output an integer indicating the final points of the power.
Sample Input
3 1 50 500
Sample Output
0 1 15HintFrom 1 to 500, the numbers that include the sub-sequence "49" are "49","149","249","349","449","490","491","492","493","494","495","496","497","498","499", so the answer is 15.
#include <stdio.h>
#include<algorithm>
#include<string.h>
using namespace std;
__int64 dp[50][2];
__int64 a[50];
__int64 dfs(__int64 pos,__int64 pre,__int64 sta,bool limit)
{
if(pos==-1)
{
return 1;
}
if(dp[pos][sta]!=-1&&!limit)
return dp[pos][sta];
__int64 up=limit?a[pos]:9;
__int64 i,sum=0;
for(i=0;i<=up;i++)
{
if(pre==4&&i==9)
continue;
sum+=dfs(pos-1,i,i==4,limit&&i==up);
}
if(!limit)
dp[pos][sta]=sum;
return sum;
}
__int64 solve(__int64 x)
{
__int64 cnt=0;
while(x)
{
a[cnt++]=x%10;
x=x/10;
}
return dfs(cnt-1,-1,0,1);
}
int main(int argc, char *argv[])
{
int t;
scanf("%d",&t);
memset(dp,-1,sizeof(dp));
while(t--)
{
__int64 x;
scanf("%I64d",&x);
printf("%I64d\n",x+1-solve(x));//0-x的数为 x+1 solve(x)为所有统计的非满足 49 的数
}
return 0;
}
本文介绍了一种算法,用于计算从1到N中包含子序列'49'的数字数量,以此来确定时间炸弹的最终威力点数。通过递归深度优先搜索的方法,实现了高效的求解。
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