hdu 1011 Starship Troopers(树形DP)

本文深入探讨了游戏开发领域的核心技术,包括游戏引擎、动画、3D空间视频等关键概念及应用,为游戏开发者提供深入的技术指导。

Starship Troopers

Time Limit: 10000/5000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 6276    Accepted Submission(s): 1692


Problem Description
You, the leader of Starship Troopers, are sent to destroy a base of the bugs. The base is built underground. It is actually a huge cavern, which consists of many rooms connected with tunnels. Each room is occupied by some bugs, and their brains hide in some of the rooms. Scientists have just developed a new weapon and want to experiment it on some brains. Your task is to destroy the whole base, and capture as many brains as possible.

To kill all the bugs is always easier than to capture their brains. A map is drawn for you, with all the rooms marked by the amount of bugs inside, and the possibility of containing a brain. The cavern's structure is like a tree in such a way that there is one unique path leading to each room from the entrance. To finish the battle as soon as possible, you do not want to wait for the troopers to clear a room before advancing to the next one, instead you have to leave some troopers at each room passed to fight all the bugs inside. The troopers never re-enter a room where they have visited before.

A starship trooper can fight against 20 bugs. Since you do not have enough troopers, you can only take some of the rooms and let the nerve gas do the rest of the job. At the mean time, you should maximize the possibility of capturing a brain. To simplify the problem, just maximize the sum of all the possibilities of containing brains for the taken rooms. Making such a plan is a difficult job. You need the help of a computer.

Input
The input contains several test cases. The first line of each test case contains two integers N (0 < N <= 100) and M (0 <= M <= 100), which are the number of rooms in the cavern and the number of starship troopers you have, respectively. The following N lines give the description of the rooms. Each line contains two non-negative integers -- the amount of bugs inside and the possibility of containing a brain, respectively. The next N - 1 lines give the description of tunnels. Each tunnel is described by two integers, which are the indices of the two rooms it connects. Rooms are numbered from 1 and room 1 is the entrance to the cavern.

The last test case is followed by two -1's.

Output
For each test case, print on a single line the maximum sum of all the possibilities of containing brains for the taken rooms.

Sample Input
  
5 10 50 10 40 10 40 20 65 30 70 30 1 2 1 3 2 4 2 5 1 1 20 7 -1 -1

Sample Output
  
50 7

Author
XU, Chuan

Source

Recommend
JGShining
 
思路:从根开始,假设已知子节点的最优解,那么父节点的最优解就是就等于子节点的最优解并上父节点即可。
         也就是设两个二维数组f[节点][还剩下的兵力,也就是战士],dp[][];f表示不包括父节点的最优,dp表示包括父节点的最优。
         那么dp【u】【j】=f【u】【j-所需要出战的数目】;f[u][j]=max(f[u][j],f[u]【j-可用兵力】+dp[子节点]【可用兵力】)
失误点:
      给的边是双向的的,应该两边添加,WA 了几次
 
#include<iostream>
#include<algorithm>
#include<cstring>
#include<vector>
using namespace std;
const int mm=104;
class node
{
  public:
  int bug,brain;
  vector<int>link;
}room[mm];
int n,m;
int dp[mm][mm],f[mm][mm];
bool vis[mm];
void dfs(int x)
{
  vector<int>::iterator it;
  int kill_bug;
  vis[x]=1;
  for(it=room[x].link.begin();it!=room[x].link.end();it++)
  { if(!vis[*it])
    {
      dfs(*it);
      for(int k=m;k>=1;k--)///troopers
      for(int j=1;j<=k;j++)///
      f[x][k]=max(f[x][k],f[x][k-j]+dp[*it][j]);///不包括父节点的最优解
    }
  }
  kill_bug=(room[x].bug+19)/20;
    //if(room[*it].bug%20)kill_bug++;
    for(int j=kill_bug;j<=m;j++)///包括父节点的最优解
    dp[x][j]=f[x][j-kill_bug]+room[x].brain;
}
int main()
{
  while(cin>>n>>m)
  {
    if(n==-1&&m==-1)break;
    for(int i=1;i<=n;i++)
    {cin>>room[i].bug>>room[i].brain;room[i].link.clear();}
    for(int i=1;i<=n-1;i++)
    {
      int a,b;cin>>a>>b;room[a].link.push_back(b);room[b].link.push_back(a);
    }
    memset(vis,0,sizeof(vis));
    memset(f,0,sizeof(f));
    memset(dp,0,sizeof(dp));
    if(m==0)
    {
      cout<<"0\n";continue;
    }
    dfs(1);cout<<dp[1][m]<<"\n";
  }
}

【评估多目标跟踪方法】9个高度敏捷目标在编队中的轨迹和测量研究(Matlab代码实现)内容概要:本文围绕“评估多目标跟踪方法”,重点研究9个高度敏捷目标在编队飞行中的轨迹生成与测量过程,并提供完整的Matlab代码实现。文中详细模拟了目标的动态行为、运动约束及编队结构,通过仿真获取目标的状态信息与观测数据,用于验证和比较不同多目标跟踪算法的性能。研究内容涵盖轨迹建模、噪声处理、传感器测量模拟以及数据可视化等关键技术环节,旨在为雷达、无人机编队、自动驾驶等领域的多目标跟踪系统提供可复现的测试基准。; 适合人群:具备一定Matlab编程基础,从事控制工程、自动化、航空航天、智能交通或人工智能等相关领域的研究生、科研人员及工程技术人员。; 使用场景及目标:①用于多目标跟踪算法(如卡尔曼滤波、粒子滤波、GM-CPHD等)的性能评估与对比实验;②作为无人机编队、空中交通监控等应用场景下的轨迹仿真与传感器数据分析的教学与研究平台;③支持对高度机动目标在复杂编队下的可观测性与跟踪精度进行深入分析。; 阅读建议:建议读者结合提供的Matlab代码进行实践操作,重点关注轨迹生成逻辑与测量模型构建部分,可通过修改目标数量、运动参数或噪声水平来拓展实验场景,进一步提升对多目标跟踪系统设计与评估的理解。
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