1. 问题描述
二维平面上有n个点,如何快速计算出两个距离最近的点对?
2. 解题思路
- 暴力做法是,每个点与其他点去计算距离,取最小的出来,复杂度O(n2)
- 采用分治算法
- 将数据点按照 x 坐标排序,找到中位点,过中位点划线 x = mid_x 将数据分成2部分,递归划分,直到两个半边只有1个或者2个数据,只有1个数据点,最短距离返回无穷大,有2个点直接返回2点的距离
- 合并左右两边的结果,取左右两边的最短距离的较小值为 d = min{dl,dr},那么在 x = mid_x 的 ± d 范围内的左右点对才有可能距离比 d 更小(好理解)
- 对这个范围内的点,再按照 y 坐标排序,查找两个点的 y 差值小于 d 的点对(重点在这里,见下面分析),计算其距离是否比 d 更小
假如在这个范围内的有1,2,3,4,5,6六个点(按 y 坐标排序),寻找距离小于 d 的点对,如果暴力查找,复杂度还是 n2,我们可以看出点4只有可能在其上下y坐标 ± d 的范围内找到满足距离小于 d 的点匹配,点1和点4不可能距离小于 d,左边的点最多可以有4个右边的点使得其距离小于 d
所以,步骤3是O(n)复杂度。 T(1) = 1;T(n) = 2*T(n/2) n;高中数学即可求得T(n)是O(nlogn)的复杂度。
3. 实现代码
代码语言:javascript复制/**
* @description: 2维平面寻找距离最近的点对(分治)
* @author: michael ming
* @date: 2019/7/4 23:16
* @modified by:
*/
#include <iostream>
#include <cmath>
#include <vector>
#include <ctime>
#include <algorithm>
#define LEFT_BOUND 0.0
#define RIGHT_BOUND 100.0
#define LOWER_BOUND 0.0
#define UPPER_BOUND 100.0 //随机点的范围
using namespace std;
class Point//点
{
public:
int id;
double x, y;
Point(int index, double x0, double y0):id(index),x(x0),y(y0){}
};
typedef vector<Point> PointVec;
bool compx(const Point &a, const Point &b)
{
if(a.x != b.x)
return a.x < b.x;
return a.y < b.y;
}
bool compy(const Point &a, const Point &b)
{
return a.y < b.y;
}
class ClosestPoint
{
PointVec points_vec;
int numOfPoint;
public:
ClosestPoint()
{
srand(unsigned(time(0)));
double x, y;
cout << "请输入测试点个数,将随机生成散点:";
cin >> numOfPoint;
for(int i = 0; i < numOfPoint; i)
{
x = LEFT_BOUND (double)rand()/RAND_MAX *(RIGHT_BOUND-LEFT_BOUND);
y = LOWER_BOUND (double)rand()/RAND_MAX *(UPPER_BOUND-LOWER_BOUND);
cout << i 1 << " (" << x << "," << y << ")" << endl;
points_vec.emplace_back(i 1,x,y);//生成点的动态数组
}
}
double dist(const Point &a, const Point &b)
{
double dx = a.x - b.x;
double dy = a.y - b.y;
return sqrt(dx*dx dy*dy);//返回两点之间的距离
}
void bfCalDist()//暴力求解
{
size_t num = points_vec.size();
if(num <= 1)
{
cout << "输入个数<=1 !!!" << endl;
return;
}
int i, j, s, t;
double distance = RAND_MAX, d;
for(i = 0; i < num; i)
for(j = i 1; j < num; j)
{
d = dist(points_vec[i], points_vec[j]);
if(d < distance)
{
distance = d;
s = points_vec[i].id;
t = points_vec[j].id;
}
}
cout << "点" << s << "到点" << t << "的距离最小:" << distance << endl;
}
double calcDist(size_t left, size_t right, size_t &s, size_t &t)
{
if(left == right)//一个点,返回无穷大
return RAND_MAX;
if(left 1 == right)//两个点,直接计算距离
{
s = points_vec[left].id;
t = points_vec[right].id;
return dist(points_vec[left],points_vec[right]);
}
sort(points_vec.begin() left,points_vec.begin() right 1,compx);
//把点群按照x排序
size_t mid = (left right)/2;
double mid_x = points_vec[mid].x;
double distance = RAND_MAX, d;
distance = min(distance,calcDist(left,mid,s,t));//递归划分左边
distance = min(distance,calcDist(mid 1,right,s,t));//递归划分右边
size_t i, j, k = 0;
PointVec temp;//存储临时点(在mid_x左右d范围内的)
for(i = left; i <= right; i)
{
if(fabs(points_vec[i].x-mid_x) <= distance)
{
temp.emplace_back(points_vec[i].id,points_vec[i].x,points_vec[i].y);
k ;
}
}
sort(temp.begin(),temp.end(),compy);//再把范围内的点,按y排序
for(i = 0; i < k; i)
{
for(j = i 1; j < k && temp[j].y-temp[i].y < distance; j)
{//在临时点里寻找距离更小的,内层循环最多执行不超过4次就会退出
d = dist(temp[i],temp[j]);
if(d < distance)
{
distance = d;
s = temp[i].id;
t = temp[j].id;
}
}
}
return distance;
}
void closestDist()//调用分治求解
{
size_t num = points_vec.size();
if(num <= 1)
{
cout << "输入个数<=1 !!!" << endl;
return;
}
size_t s, t; s = t = 0;//记录起终点
double d = calcDist(0,num-1,s,t);
cout << "点" << s << "到点" << t << "的距离最小:" << d << endl;
}
};
int main()
{
ClosestPoint cp;
clock_t start, end;
cout << "方法1,暴力求解:" << endl;
start = clock();
cp.bfCalDist();
end = clock();
cout << "耗时:" << (double)(end - start) << "ms." << endl;
cout << "-------------------" << endl;
cout << "方法2,分治求解:" << endl;
start = clock();
cp.closestDist();
end = clock();
cout << "耗时:" << (double)(end - start) << "ms." << endl;
return 0;
}
4. POJ 3714
http://poj.org/problem?id=3714 相同的问题,只是数据位置分为2类(人,核电站),计算距离时,需判断是不同的类,否则返回一个很大的数。
以下代码显示Wrong Answer,谁帮忙看下。测试样例输出是一样的。
代码语言:javascript复制/**
* @description: poj3714求解最近的核电站距离
* @author: michael ming
* @date: 2019/7/6 0:09
* @modified by:
*/
#include<iomanip>
#include <iostream>
#include <cmath>
#include <vector>
#include <algorithm>
#define DBL_MAX 1.7976931348623158e 308
using namespace std;
class Point//点
{
public:
int id;
int x, y;
Point(int index, int x0, int y0):id(index),x(x0),y(y0){}
};
typedef vector<Point> PointVec;
bool compx(const Point &a, const Point &b)
{
if(a.x != b.x)
return a.x < b.x;
return a.y < b.y;
}
bool compy(const Point &a, const Point &b)
{
return a.y < b.y;
}
class ClosestPoint
{
PointVec points_vec;
int numOfPoint;
public:
ClosestPoint()
{
int x, y;
cin >> numOfPoint;
for(int i = 0; i < numOfPoint; i)
{
cin >> x >> y;
points_vec.push_back(Point(0,x,y));//生成站点的动态数组(0表示站)
}
for(int i = 0; i < numOfPoint; i)
{
cin >> x >> y;
points_vec.push_back(Point(1,x,y));//加入人的位置(1表示人)
}
}
double dist(const Point &a, const Point &b)
{
if(a.id == b.id)
return DBL_MAX;//相同的类型,返回很大的数
int dx = a.x - b.x;
int dy = a.y - b.y;
return sqrt(double(dx*dx dy*dy));//返回两点之间的距离
}
double calcDist(size_t left, size_t right)
{
if(left == right)//一个点,返回无穷大
return DBL_MAX;
if(left 1 == right)//两个点,直接计算距离
{
return dist(points_vec[left],points_vec[right]);
}
sort(points_vec.begin() left,points_vec.begin() right 1,compx);
//把点群按照x排序
size_t mid = (left right)/2;
double mid_x = points_vec[mid].x;
double distance = DBL_MAX, d;
distance = min(distance,calcDist(left,mid));//递归划分左边
distance = min(distance,calcDist(mid 1,right));//递归划分右边
size_t i, j, k = 0;
PointVec temp;//存储临时点(在mid_x左右d范围内的)
for(i = left; i <= right; i)
{
if(fabs(points_vec[i].x-mid_x) <= distance)
{
temp.push_back(Point(points_vec[i].id,points_vec[i].x,points_vec[i].y));
k ;
}
}
sort(temp.begin(),temp.end(),compy);//再把范围内的点,按y排序
for(i = 0; i < k; i)
{
for(j = i 1; j < k && temp[j].y-temp[i].y <= distance; j)
{//在临时点里寻找距离更小的,内层循环最多执行不超过4次就会退出
d = dist(temp[i],temp[j]);
if(d < distance)
{
distance = d;
}
}
}
return distance;
}
double closestDist()//调用分治求解
{
size_t num = points_vec.size();
return calcDist(0,num-1);
}
};
int main()
{
int times;
cin >> times;
while (times--)
{
ClosestPoint cp;
cout << fixed << setprecision(3) << cp.closestDist() << endl;
}
return 0;
}