CodeForces - 758C

做这道题目的时候,我只顾着分类讨论了,可想而知,分类思想是对的,但是分支太多,极容易出错,又因为此题的数据量小,故可以通过暴力得到每一个点的次数。

 

在这里,周期T等于1->n->2的循环,最后,比较大小即可得到答案。

 

以后,碰到这种要分很多情况讨论的问题,先要找出规律,不能直接代码,否则事倍功半。

#include <bits/stdc++.h>
#define MAXN 1000000000000000000 + 20
using namespace std;
typedef long long ll;
int n,m,x,y,x2,y2;
ll k,maxn,minn,t;
ll a[120][120];

int main()
{
    minn = MAXN,maxn = 0;
    memset(a,0,sizeof(a));
    cin >> n >> m >> k >> x >> y;

    ll p,q;
    if(n == 1){
        p = (ll)k/m;
        q = (ll)k%m;
        for(int i = 1;i <= n;++ i){
            for(int j = 1;j <= m;++ j){
                a[i][j] += p;
                if(q)
                    q--,a[i][j]++;
            }
        }
    }
    else{
        p = (ll)k/(m*(2*n-2));
        q = (ll)k%(m*(2*n-2));
        for(int i = 1;i <= n;++ i){
            for(int j = 1;j <= m;++ j){
                a[i][j] += p;
                if(q)
                    q--,a[i][j]++;
            }
        }
        for(int i = n-1;i >= 2;-- i){
            for(int j = 1;j <= m;++ j){
                a[i][j] += p;
                if(q)
                    q--,a[i][j]++;
            }
        }
    }
    for(int i = 1;i <= n;++ i)
    for(int j = 1;j <= m;++ j){
        maxn = max(maxn,a[i][j]);
        minn = min(minn,a[i][j]);
    }
    cout << maxn << ' ' << minn << ' ' << a[x][y] << endl;
}

 

内容概要:本文详细介绍了基于FPGA的144输出通道可切换电压源系统的设计与实现,涵盖系统总体架构、FPGA硬件设计、上位机软件设计以及系统集成方案。系统由上位机控制软件(PC端)、FPGA控制核心和高压输出模块(144通道)三部分组成。FPGA硬件设计部分详细描述了Verilog代码实现,包括PWM生成模块、UART通信模块和温度监控模块。硬件设计说明中提及了FPGA选型、PWM生成方式、通信接口、高压输出模块和保护电路的设计要点。上位机软件采用Python编写,实现了设备连接、命令发送、序列控制等功能,并提供了一个图形用户界面(GUI)用于方便的操作和配置。 适合人群:具备一定硬件设计和编程基础的电子工程师、FPGA开发者及科研人员。 使用场景及目标:①适用于需要精确控制多通道电压输出的实验环境或工业应用场景;②帮助用户理解和掌握FPGA在复杂控制系统中的应用,包括PWM控制、UART通信及多通道信号处理;③为研究人员提供一个可扩展的平台,用于测试和验证不同的电压源控制算法和策略。 阅读建议:由于涉及硬件和软件两方面的内容,建议读者先熟悉FPGA基础知识和Verilog语言,同时具备一定的Python编程经验。在阅读过程中,应结合硬件电路图和代码注释,逐步理解系统的各个组成部分及其相互关系。此外,实际动手搭建和调试该系统将有助于加深对整个设计的理解。
### Codeforces Problem 976C Solution in Python For solving problem 976C on Codeforces using Python, efficiency becomes a critical factor due to strict time limits aimed at distinguishing between efficient and less efficient solutions[^1]. Given these constraints, it is advisable to focus on optimizing algorithms and choosing appropriate data structures. The provided code snippet offers insight into handling string manipulation problems efficiently by customizing comparison logic for sorting elements based on specific criteria[^2]. However, for addressing problem 976C specifically, which involves determining the winner ('A' or 'B') based on frequency counts within given inputs, one can adapt similar principles of optimization but tailored towards counting occurrences directly as shown below: ```python from collections import Counter def determine_winner(): for _ in range(int(input())): count_map = Counter(input().strip()) result = "A" if count_map['A'] > count_map['B'] else "B" print(result) determine_winner() ``` This approach leverages `Counter` from Python’s built-in `collections` module to quickly tally up instances of 'A' versus 'B'. By iterating over multiple test cases through a loop defined by user input, this method ensures that comparisons are made accurately while maintaining performance standards required under tight computational resources[^3]. To further enhance execution speed when working with Python, consider submitting codes via platforms like PyPy instead of traditional interpreters whenever possible since they offer better runtime efficiencies especially important during competitive programming contests where milliseconds matter significantly.
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