B - Fishmonger(dfs+剪枝)

本文介绍了一个鱼贩如何在有限时间内选择穿过多个小城邦的最佳路线,以便支付最少的过路费并及时到达市场。通过递归深度优先搜索算法,考虑时间和费用限制,找到满足条件的最佳路径。

A fishmonger wants to bring his goods from the port to the market. On his route he has to traverse an area with many tiny city states. Of course he has to pay a toll at each border.

Because he is a good business man, he wants to choose the route in such a way that he has to pay as little money for tolls as possible. On the other hand, he has to be at the market within a certain time, otherwise his fish start to smell.

Input

The first line contains the number of states n and available time t. The first state is the port, the last state is the market. After this line there are n lines with n numbers each, specifying for each state the travel time to the i-th state. This table is terminated with an empty line. The table of the tolls follows in the same format.

n is at least 3 and at most 50. The time available is less than 1000. All numbers are integers.

There are many test cases separated by an empty line. Input terminates with number of states and time equal 0 0.

Output

For each test case your program should print on one line the total amount of tolls followed by the actual travelling time.

Example

Sample input:
4 7
0 5 2 3
5 0 2 3
3 1 0 2
3 3 2 0

0 2 2 7
2 0 1 2
2 2 0 5
7 2 5 0

0 0

Sample output:
6 6
This corresponds to the following situation, the connections are labeled with (time, toll):

这里写图片描述

#include <cstdio>
#include <cstring>
#include <cstdlib>
#define INF 0x3f3f3f3f
using namespace std;
int n,k;
int cost[123][123];
int time[123][123];
int vis[123];
int CV,CB;
void dfs(int x, int c, int t)
{
    if(x==n-1)
    {
        if(CV>c)
        {
            CV = c;
            CB = t;
        }
        return;
    }
    for(int i=0; i<n; i++)
    {
        if(vis[i]==0&&time[x][i]+t<=k&&cost[x][i]<=CV)//剪枝
        {
            vis[i] = 1;
            dfs(i, c+cost[x][i], t+time[x][i]);
            vis[i] = 0;
        }
    }
}
int main()
{
    while(~scanf("%d %d",&n, &k))
    {
        if(n==0&&k==0)
            break;
        for(int i=0; i<n; i++)
        {
            for(int j=0; j<n; j++)
            {
                scanf("%d", &time[i][j]);
            }
        }
        for(int i=0; i<n; i++)
        {
            for(int j=0; j<n; j++)
            {
                scanf("%d", &cost[i][j]);
            }
        }
        memset(vis, 0, sizeof(vis));
        vis[0] = 1;
        CV = INF;
        CB = 0;
        dfs(0, 0, 0);
        printf("%d %d\n", CV, CB);
    }
    return 0;
}
这个是完整源码 python实现 Django 【python毕业设计】基于Python的天气预报(天气预测分析)(Django+sklearn机器学习+selenium爬虫)可视化系统.zip 源码+论文+sql脚本 完整版 数据库是mysql 本研究旨在开发一个基于Python的天气预报可视化系统,该系统结合了Django框架、sklearn机器学习库和Selenium爬虫技术,实现对天气数据的收集、分析和可视化。首先,我们使用Selenium爬虫技术从多个天气数据网站实时抓取气象数据,包括温度、湿度、气压、风速等多项指标。这些数据经过清洗和预处理后本研究旨在开发一个基于Python的天气预报可视化系统,该系统结合了Django框架、sklearn机器学习库和Selenium爬虫技术,实现对天气数据的收集、分析和可视化。首先,我们使用Selenium爬虫技术从多个天气数据网站实时抓取气象数据,包括温度、湿度、气压、风速等多项指标。这些数据经过清洗和预处理后,将其存储在后端数据库中,以供后续分析。 其次,采用s,将其存储在后端数据库中,以供后续分析。 其次,采用sklearn机器学习库构建预测模型,通过时间序列分析和回归方法,对未来天气情况进行预测。我们利用以往的数据训练模型,以提高预测的准确性。通过交叉验证和超参数优化等技术手段,我们优化了模型性能,确保其在实际应用中的有效性和可靠性。 最后,基于Django框架开发前端展示系统,实现天气预报的可视化。用户可以通过友好的界面查询实时天气信息和未来几天内的天气预测。系统还提供多种图表类型,包括折线图和柱状图,帮助用户直观理解天气变化趋势。 本研究的成果为天气预报领域提供了一种新的技术解决方案,不仅增强了数据获取和处理的效率,还提升了用户体验。未来,该系统能够扩展至其他气象相关的应用场景,为大众提供更加准确和及时的气象服务。
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