hdu 2089 不要62

数位DP解决不含4和62的数字计数问题
本文介绍了一种使用数位DP(Dynamic Programming on Digit DP)的方法来解决区间内不含4和62的数字计数问题。通过构建状态转移方程和初始化数组,有效地计算出指定区间的符合条件的数字数量。

不要62

Time Limit: 1000/1000 MS (Java/Others)    Memory Limit: 32768/32768 K (Java/Others)
Total Submission(s): 18707    Accepted Submission(s): 6294


Problem Description
杭州人称那些傻乎乎粘嗒嗒的人为62(音:laoer)。
杭州交通管理局经常会扩充一些的士车牌照,新近出来一个好消息,以后上牌照,不再含有不吉利的数字了,这样一来,就可以消除个别的士司机和乘客的心理障碍,更安全地服务大众。
不吉利的数字为所有含有4或62的号码。例如:
62315 73418 88914
都属于不吉利号码。但是,61152虽然含有6和2,但不是62连号,所以不属于不吉利数字之列。
你的任务是,对于每次给出的一个牌照区间号,推断出交管局今次又要实际上给多少辆新的士车上牌照了。
 

Input
输入的都是整数对n、m(0<n≤m<1000000),如果遇到都是0的整数对,则输入结束。
 

Output
对于每个整数对,输出一个不含有不吉利数字的统计个数,该数值占一行位置。
 

Sample Input
1 100 0 0
 

Sample Output
80
 


题解及代码:


#include <iostream>
#include <cstdio>
#include <cstring>
using namespace std;
int f[7][10];
void init()
{
    memset(f,0,sizeof(f));
    f[0][0]=1;
    for(int i=1; i<=6; i++)
        for(int j=0; j<=9; j++)
            for(int k=0; k<=9; k++)
                if(!(j==4||j==6&&k==2))
                   f[i][j]+=f[i-1][k];
}
int solve(int n)
{
    if(n==0) return 1;

    int k=1,r=n,ans=0;
    int digt[8];
    memset(digt,0,sizeof(digt));
    while(r)
    {
       digt[k++]=r%10;
       r/=10;
    }
    for(int i=k-1;i>=1;i--)
    {
        for(int j=0;j<digt[i];j++)
          if(!(j==4||j==2&&digt[i+1]==6))
          {
             ans+=f[i][j];
             //cout<<ans<<"i:"<<i<<"j:"<<j<<endl;
          }

        if(digt[i]==4||digt[i]==2&&digt[i+1]==6)
            return ans;
    }
    return ans+1;
}


int main()
{
    init();
    int m,n;
    while(cin>>m>>n)
    {
        if(m==0&&n==0) break;
        cout<<solve(n)-solve(m-1)<<endl;
    }
    return 0;
}
/*
最近学习数位dp的一道题目,题目说给定一个区间[l,r];
求出[l,r]中不包含4和62的数字的个数。

我们定义数组f[i][j],表示i为数(假设i=2,即范围为10-99)中以j开头满足情况的数的个数。
那么f[i][j]=∑f[i-1][k];条件是j!=4&&!(j==6&&k==2),那么我们打表就可以完成准备工作

接下来就是求解了,既然是就出范围内的值,那么我们可以转化成:sum[i,j]=sum[0,j]-sum[0,i-1];

那么我们的任务就是构造这个sum函数;
我们以546为例子:首先能看到546是一个三位数,所以我们应该先把500以下的sum直接加和
即:ans+=∑sum[3][i](i<5)
然后去掉5,剩下46,接下来就是两位数的计算,即:ans+=∑sum[2][i](i<4)
接着去掉4,然后我们发现剩下的数都是40+,其中包括了4,所以不需要在计算,所以到这计算完成。

需要注意的是,按照这种计算方式,如果给定的数n本身就是一个满足情况的数,左后需要在ans的情况上+1。

*转载请注明出处,谢谢。
*/




### HDU OJ 2089 Problem Solution and Description The problem titled "不高兴的津津" (Unhappy Jinjin) involves simulating a scenario where one needs to calculate the number of days an individual named Jinjin feels unhappy based on certain conditions related to her daily activities. #### Problem Statement Given a series of integers representing different aspects of Jinjin's day, such as homework completion status, weather condition, etc., determine how many days she was not happy during a given period. Each integer corresponds to whether specific events occurred which could affect her mood positively or negatively[^1]. #### Input Format Input consists of multiple sets; each set starts with two positive integers n and m separated by spaces, indicating the total number of days considered and types of influencing factors respectively. Following lines contain details about these influences over those days until all cases are processed when both numbers become zero simultaneously. #### Output Requirement For every dataset provided, output should be formatted according to sample outputs shown below: ```plaintext Case k: The maximum times of appearance is x, the color is c. ``` Where `k` represents case index starting from 1, while `x` stands for frequency count and `c` denotes associated attribute like colors mentioned earlier but adapted accordingly here depending upon context i.e., reasons causing unhappiness instead[^2]. #### Sample Code Implementation Below demonstrates a simple approach using Python language to solve this particular challenge efficiently without unnecessary complexity: ```python def main(): import sys input = sys.stdin.read().strip() datasets = input.split('\n\n') results = [] for idx, ds in enumerate(datasets[:-1], start=1): data = list(map(int, ds.strip().split())) n, m = data[:2] if n == 0 and m == 0: break counts = {} for _ in range(m): factor_counts = dict(zip(data[2::2], data[3::2])) for key, value in factor_counts.items(): try: counts[key] += value except KeyError: counts[key] = value max_key = max(counts, key=lambda k:counts[k]) result_line = f'Case {idx}: The maximum times of appearance is {counts[max_key]}, the reason is {max_key}.' results.append(result_line) print("\n".join(results)) if __name__ == '__main__': main() ```
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值