While swimming at the beach, Mike has accidentally dropped his cellphone into the water. There was n

本文探讨了通过手指移动轨迹来识别手机键盘上输入的电话号码的问题。具体来说,考虑到只有十个数字按键的老式键盘布局,分析了如何判断两次输入是否对应相同的按键移动路径。

While swimming at the beach, Mike has accidentally dropped his cellphone into the water. There was no worry as he bought a cheap replacement phone with an old-fashioned keyboard. The keyboard has only ten digital equal-sized keys, located in the following way:

Together with his old phone, he lost all his contacts and now he can only remember the way his fingers moved when he put some number in. One can formally consider finger movements as a sequence of vectors connecting centers of keys pressed consecutively to put in a number. For example, the finger movements for number "586" are the same as finger movements for number "253":

Mike has already put in a number by his "finger memory" and started calling it, so he is now worrying, can he be sure that he is calling the correct number? In other words, is there any other number, that has the same finger movements?

Input

The first line of the input contains the only integer n (1 ≤ n ≤ 9) — the number of digits in the phone number that Mike put in.

The second line contains the string consisting of n digits (characters from '0' to '9') representing the number that Mike put in.

Output

If there is no other phone number with the same finger movements and Mike can be sure he is calling the correct number, print "YES" (without quotes) in the only line.

Otherwise print "NO" (without quotes) in the first line.

Sample Input

Input
3
586
Output
NO
Input
2
09
Output
NO
Input
9
123456789
Output
YES
Input
3
911
Output
YES

#include<stdio.h>
#include<iostream>
#include<cstring>
using namespace std;


int main()
{
    int n, i;
    char s[10000];
    scanf("%d", &n);
    /*for(i=0; i<n; i++)
        scanf("%c", &s[i]);*/
    scanf("%s", s);
    int shang=0, xia=0, zuo=0, you=0;
    for(i=0; i<n; i++)
    {
        if(s[i] == '0')
        {
            xia = zuo = you = 1;
        }
        if(s[i] == '1' || s[i] == '2' || s[i] == '3')
        {
            shang = 1;
        }
        if(s[i] == '1' || s[i] == '4' || s[i] == '7')
        {
            zuo = 1;
        }
        if(s[i] == '3' || s[i] == '6' || s[i] == '9')
        {
            you = 1;
        }
        if(s[i] == '7' || s[i] == '9')
        {
            xia = 1;
        }
    }
    if(shang==1 && xia==1 && zuo==1 && you==1)
        printf("YES\n");
    else
        printf("NO\n");
    return 0;
}
内容概要:本文介绍了一种基于蒙特卡洛模拟和拉格朗日优化方法的电动汽车充电站有序充电调度策略,重点针对分时电价机制下的分散式优化问题。通过Matlab代码实现,构建了考虑用户充电需求、电网负荷平衡及电价波动的数学模【电动汽车充电站有序充电调度的分散式优化】基于蒙特卡诺和拉格朗日的电动汽车优化调度(分时电价调度)(Matlab代码实现)型,采用拉格朗日乘子法处理约束条件,结合蒙特卡洛方法模拟大量电动汽车的随机充电行为,实现对充电功率和时间的优化分配,旨在降低用户充电成本、平抑电网峰谷差并提升充电站运营效率。该方法体现了智能优化算法在电力系统调度中的实际应用价值。; 适合人群:具备一定电力系统基础知识和Matlab编程能力的研究生、科研人员及从事新能源汽车、智能电网相关领域的工程技术人员。; 使用场景及目标:①研究电动汽车有序充电调度策略的设计与仿真;②学习蒙特卡洛模拟与拉格朗日优化在能源系统中的联合应用;③掌握基于分时电价的需求响应优化建模方法;④为微电网、充电站运营管理提供技术支持和决策参考。; 阅读建议:建议读者结合Matlab代码深入理解算法实现细节,重点关注目标函数构建、约束条件处理及优化求解过程,可尝试调整参数设置以观察不同场景下的调度效果,进一步拓展至多目标优化或多类型负荷协调调度的研究。
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
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