poj 3714 Raid【(暴力+剪枝) || (分治法+剪枝)】

题目:



Raid
Time Limit: 5000MS   Memory Limit: 65536K
Total Submissions: 7355   Accepted: 2185

Description

After successive failures in the battles against the Union, the Empire retreated to its last stronghold. Depending on its powerful defense system, the Empire repelled the six waves of Union's attack. After several sleepless nights of thinking, Arthur, General of the Union, noticed that the only weakness of the defense system was its energy supply. The system was charged by N nuclear power stations and breaking down any of them would disable the system.

The general soon started a raid to the stations by N special agents who were paradroped into the stronghold. Unfortunately they failed to land at the expected positions due to the attack by the Empire Air Force. As an experienced general, Arthur soon realized that he needed to rearrange the plan. The first thing he wants to know now is that which agent is the nearest to any power station. Could you, the chief officer, help the general to calculate the minimum distance between an agent and a station?

Input

The first line is a integer T representing the number of test cases.
Each test case begins with an integer N (1 ≤ N ≤ 100000).
The next N lines describe the positions of the stations. Each line consists of two integers X (0 ≤ X ≤ 1000000000) and Y (0 ≤ Y ≤ 1000000000) indicating the positions of the station.
The next following N lines describe the positions of the agents. Each line consists of two integers X (0 ≤ X ≤ 1000000000) and Y (0 ≤ Y ≤ 1000000000) indicating the positions of the agent.  

Output

For each test case output the minimum distance with precision of three decimal placed in a separate line.

Sample Input

2
4
0 0
0 1
1 0
1 1
2 2
2 3
3 2
3 3
4
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0

Sample Output

1.414
0.000

Source

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题意:


给一个点集A,一个点集B,求min(distance(x, y))(x∈A,y∈B)

思路分析说明也是看了别人的博客才知道的,整整搞了一天像这样的题目应该去年就会了,整整落后一年多啊具体的分析 贴在了代码中,这里就不写思路了。

算法:


分治法+剪枝优化

算法分析课上老师虽然讲过什么事分治法,但是还是没有理解,毕竟上课时都比较水,然后也没怎么上心,具体思想的掌握都不靠谱,更别提用代码实现解决问题了,而且课内的很多算法代码都是不能直接用在 acm 中的了


分治法:


划分问题:把问题的实例划分成子问题
递归求解:递归解决子问题
合并问题:合并子问题的解得到 原来的解【最难部分】

划分问题:一般是将序列划分为两个尽量相等的两半了
具体实现可以自己百度下:最大连续和问题【lrj 白书 P141页】

代码:


暴力+剪枝优化

/****************************************************************
D	Accepted	4892 KB	1391 ms	C++	1222 B	2013-07-24 10:23:05
算法:暴力 + 剪枝
题意:给一个点集A,一个点集B,
      求min(distance(x, y))(x∈A,y∈B)
思路:把两个集合中的点弄在一个数组中排序(分开暴力会TLE)
      排序方法:x 坐标从左到右, y坐标从下到上
      排序前:先找出 A 中任意一点p1和 B 中任意一点 p2的距离,记为 mini 【那么最后求出的结果不会比 mini 大。。了解!】
      排序后:暴力枚举每两点的距离,不断更新 mini
      剪枝优化:p[j].x-p[i].x >= mini,则 break
                 因为如果是这种情况,那么加上 y 坐标上的就一定会 > mini
                 直接跳出这一点,遍历下一点即可。
**********************************************************************/
#include<stdio.h>
#include<math.h>
#include<algorithm>
using namespace std;

const int maxn = 100000+10;
const double INF = 1000000000*2;

int n,N;
struct Point{
    double x,y;
    int flag;
}p[maxn*2];

bool cmp(Point a, Point b)
{
    if(a.x == b.x) return a.y <= b.y;
    else return a.x < b.x;
}
double dist(Point a, Point b)
{
    return sqrt((a.x-b.x)*(a.x-b.x) + (a.y-b.y)*(a.y-b.y));
}

double minDist()
{
    double mini = dist(p[0], p[n]); //排序前,找出 A 集合和 B 集合任意一点间距离

    sort(p,p+N,cmp); //排序

    for(int i = 0; i < N-1; i++)
    {
        for(int j = i+1; j < N; j++)
        {
            if(p[i].flag == p[j].flag) continue; //属于同一集合
            if(p[j].x-p[i].x >= mini) break; // x 轴的距离就已经不小于当前最优解了,直接跳出第二层循环找下一点

            double tmp = dist(p[i],p[j]); //求距离,并且更新
            mini = min(mini, tmp);
        }
    }
    return  mini;
}

int main()
{
    int T;
    scanf("%d", &T);
    while(T--)
    {
        scanf("%d", &n);
        N = 2*n;
        for(int i = 0; i < n; i++)
        {
            scanf("%lf%lf", &p[i].x, &p[i].y);
            p[i].flag = 1;
        }
        for(int i = n; i < N; i++)
        {
            scanf("%lf%lf", &p[i].x, &p[i].y);
            p[i].flag = 0;
        }
        double ans = minDist();
        printf("%.3lf
", ans);
    }
    return 0;
}


分治法+剪枝优化

/****************************************************************
D	Accepted	4896 KB	1704 ms	C++	1678 B	2013-07-24 15:47:05
算法:分治法 + 剪枝
题意:给一个点集A,一个点集B,
      求min(distance(x, y))(x∈A,y∈B)
思路:把两个集合中的点弄在一个数组中排序 
      排序方法:x 坐标从左到右, y坐标从下到上(PS: y左边也可以不排序)
       
      剪枝优化:p[j].x-p[i].x >= mini,则 break
                 因为如果是这种情况,那么加上 y 坐标上的就一定会 > mini
                 直接跳出这一点,遍历下一点即可。
      分治法:先把问题分解成左右两个子问题递归求解,然后再合并即可【一般是分成相等的两半效率最高了】
              对于此问题:
              先分成:从左边到中间 和 从中间到右边这两个子问题求出一个可能的最小距离
                      然后再合并:从左边(左边到中间的那段)取出一个点 u,
                                   从右边取出一个点 v
                                   找出最小的dist(u,v)与前面的子问题中求出的最小距离比较即可
**********************************************************************/
#include<stdio.h>
#include<math.h>
#include<string.h>
#include<algorithm>
using namespace std;

const int maxn =  100000+10;
const double INF = 1000000000*2;

struct Point{
    double x,y;
    int flag;
}p[2*maxn];
int index[2*maxn];

bool cmp(Point a, Point b)
{
    return a.x < b.x;
}

double dist(Point a, Point b)
{
    if(a.flag != b.flag)
        return sqrt((a.x-b.x)*(a.x-b.x) + (a.y-b.y)*(a.y-b.y));
    else return INF; /** 两点属于同一集合 */
}

double min_dist(int left, int right) /**[left, right) 左闭右开区间 */
{
    if(right - left == 1) return INF; /** one point 只有一个点 */
    if(right - left == 2) return dist(p[right],p[right+1]); /** two point 正好两个点 */

    int mid = left+(right-left)/2; /** 分治法第一步:划分成[left, mid)和[mid, right) */

    double Min = min(min_dist(left, mid), min_dist(mid, right)); /** 分治法第二步:递归求解 */

    int L = 0; /**记录每次合并找的点数*/
    /**向左向右分别找时记得剪枝优化否则还是会 TLE **/
    for(int i = mid-1; i >= left && p[mid-1].x-p[i].x < Min; i--)
    { /** 分治法第三步:合并(1) --- 从分界点开始往左找到可能的点的最左边下标边界 */
        index[L++] = i;
    }
    int Mid_Index = L; /** 记录往左找时, 第一个点的下标 */
    for(int i = mid; i < right && p[i].x-p[mid-1].x < Min; i++)
    { /** 分治法第三步:合右边并(2) --- 从分界点开始往右找到可能的点的最右边的下标边界*/
        index[L++] = i;
    }

    double distance = INF;
    for(int i = 0; i < Mid_Index; i++) /** 遍历往左找的点*/
    {/** 分治法第三步:正式合并(3) --- dist(从左边选择的点, 从右边选择的点)*/
        for(int j = Mid_Index; j < L; j++) /** 遍历往右找的点*/
        {
            Min = min(Min, dist(p[index[i]], p[index[j]])); /** 更新最短距离*/
        }
    }
    return Min;
}

int main()
{
    int T;
    int n,N;
    scanf("%d", &T);
    while(T--)
    {
        scanf("%d", &n);
        N = 2*n;
        for(int i = 0; i < n; i++)
        {
            scanf("%lf%lf", &p[i].x, &p[i].y);
            p[i].flag = 0;
        }
        for(int i = n; i < N; i++)
        {
            scanf("%lf%lf", &p[i].x, &p[i].y);
            p[i].flag = 1;
        }
        sort(p,p+N,cmp);

        double  ans = min_dist(0, N);
        printf("%.3lf
", ans);
    }
    return 0;
}





原文地址:https://www.cnblogs.com/freezhan/p/3219043.html