数据结构(KD树):HDU 4347 The Closest M Points
The Closest M Points
Time Limit: 16000/8000 MS (Java/Others) Memory Limit: 98304/98304 K (Java/Others)
Total Submission(s): 3285 Accepted Submission(s): 1201
course of Software Design and Development Practice is objectionable.
ZLC is facing a serious problem .There are many points in K-dimensional
space .Given a point. ZLC need to find out the closest m points.
Euclidean distance is used as the distance metric between two points.
The Euclidean distance between points p and q is the length of the line
segment connecting them.In Cartesian coordinates, if p = (p1, p2,..., pn) and q = (q1, q2,..., qn) are two points in Euclidean n-space, then the distance from p to q, or from q to p is given by:

Can you help him solve this problem?
the first line of the text file .there are two non-negative integers n
and K. They denote respectively: the number of points, 1 <= n <=
50000, and the number of Dimensions,1 <= K <= 5. In each of the
following n lines there is written k integers, representing the
coordinates of a point. This followed by a line with one positive
integer t, representing the number of queries,1 <= t <=10000.each
query contains two lines. The k integers in the first line represent the
given point. In the second line, there is one integer m, the number of
closest points you should find,1 <= m <=10. The absolute value of
all the coordinates will not be more than 10000.
There are multiple test cases. Process to end of file.
The first line saying :”the closest m points are:” where m is the number of the points.
The following m lines representing m points ,in accordance with the order from near to far
It
is guaranteed that the answer can only be formed in one ways. The
distances from the given point to all the nearest m+1 points are
different. That means input like this:
2 2
1 1
3 3
1
2 2
1
will not exist.
1 1
1 3
3 4
2
2 3
2
2 3
1
1 3
3 4
the closest 1 points are:
1 3
#include <algorithm>
#include <iostream>
#include <cstring>
#include <cstdio>
#include <queue>
using namespace std;
const int maxn=;
int cmpNo,K;
struct Node{
int x[],l,r,id;
bool operator <(const Node &b)const{
return x[cmpNo]<b.x[cmpNo];
}
}; long long Dis(const Node &a,const Node &b){
long long ret=;
for(int i=;i<K;i++)
ret+=(a.x[i]-b.x[i])*(a.x[i]-b.x[i]);
return ret;
} Node p[maxn]; int Build(int l,int r,int d){
if(l>r)return ;
cmpNo=d;
int mid=l+r>>;
nth_element(p+l,p+mid,p+r+);
p[mid].l=Build(l,mid-,(d+)%K);
p[mid].r=Build(mid+,r,(d+)%K);
return mid;
} priority_queue<pair<long long,int> >q;
void Kth(int l,int r,Node tar,int k,int d){
if(l>r)return;
int mid=l+r>>;
pair<long long,int>v=make_pair(Dis(p[mid],tar),p[mid].id);
if(q.size()==k&&v<q.top())q.pop();
if(q.size()<k)q.push(v);
long long t=tar.x[d]-p[mid].x[d];
if(t<=){
Kth(l,mid-,tar,k,(d+)%K);
if(q.top().first>t*t)
Kth(mid+,r,tar,k,(d+)%K);
}
else{
Kth(mid+,r,tar,k,(d+)%K);
if(q.top().first>t*t)
Kth(l,mid-,tar,k,(d+)%K);
}
}
int k,ans[];
Node a[maxn];
int main(){
int n;
while(scanf("%d%d",&n,&K)!=EOF){
for(int id=;id<=n;id++){
for(int i=;i<K;i++)
scanf("%d",&p[id].x[i]);
p[id].id=id;
a[id]=p[id];
}
Build(,n,);
int Q,tot;
scanf("%d",&Q);
Node tar;
while(Q--){
for(int i=;i<K;i++)
scanf("%d",&tar.x[i]);
scanf("%d",&k);
printf("the closest %d points are:\n",k);
for(int i=;i<=k;i++)q.push(make_pair(1e18,-));
Kth(,n,tar,k,);tot=;
while(!q.empty()){
int id=(q.top()).second;q.pop();
ans[tot++]=id;
}
for(int i=tot-;i>=;i--)
for(int j=;j<K;j++)
printf("%d%c",a[ans[i]].x[j],j==K-?'\n':' ');
}
}
return ;
}
数据结构(KD树):HDU 4347 The Closest M Points的更多相关文章
- bzoj 3053 HDU 4347 : The Closest M Points kd树
bzoj 3053 HDU 4347 : The Closest M Points kd树 题目大意:求k维空间内某点的前k近的点. 就是一般的kd树,根据实测发现,kd树的两种建树方式,即按照方差 ...
- hdu 4347 The Closest M Points (kd树)
版权声明:本文为博主原创文章,未经博主允许不得转载. hdu 4347 题意: 求k维空间中离所给点最近的m个点,并按顺序输出 . 解法: kd树模板题 . 不懂kd树的可以先看看这个 . 不多说, ...
- hdu 4347 The Closest M Points(KD树)
Problem - 4347 一道KNN的题.直接用kd树加上一个暴力更新就撸过去了.写的时候有一个错误就是搜索一边子树的时候返回有当前层数会被改变了,然后就直接判断搜索另一边子树,搞到wa了半天. ...
- HDU 4347 - The Closest M Points - [KDTree模板题]
本文参考: https://www.cnblogs.com/GerynOhenz/p/8727415.html kuangbin的ACM模板(新) 题目链接:http://acm.hdu.edu.cn ...
- HDU 4347 The Closest M Points (kdTree)
赤果果的kdTree. 学习传送门:http://www.cnblogs.com/v-July-v/archive/2012/11/20/3125419.html 其实就是二叉树的变形 #includ ...
- 【HDOJ】4347 The Closest M Points
居然是KD解. /* 4347 */ #include <iostream> #include <sstream> #include <string> #inclu ...
- hud 4347 The Closest M Points(KD-Tree)
传送门 解题思路 \(KD-Tree\)模板题,\(KD-Tree\)解决的是多维问题,它是一个可以储存\(K\)维数据的二叉树,每一层都被一维所分割.它的插入删除复杂度为\(log^2 n\),它查 ...
- KD树的极简单笔记(待后续更新)
今天(18.5.4)室友A突然问我算法怎么入门,兴奋之下给他安利了邓公的<数据结构>,然而他接着又问我能不能两周内快速入门,毕竟打算搞Machine Learning,然后掏出手机看了下他 ...
- K-D树问题 HDU 4347
K-D树可以看看这个博客写的真心不错!这里存个版 http://blog.csdn.net/zhjchengfeng5/article/details/7855241 HDU 4349 #includ ...
随机推荐
- easyui总结
1.设置一个区域可拖动的第一种方法直接用html<div id="dd" style="width:100px;height:100px;">< ...
- [转] EF Configuring a DbContext
本文转自:https://docs.microsoft.com/en-us/ef/core/miscellaneous/configuring-dbcontext Note This document ...
- .net又一个生成缩略图的方法,不变形,非常好用
生成缩略图是一个十分常用功能,找到了一个方法,重写部分代码,实用又好用,.net又一个生成缩略图的方法,不变形 /// <summary> /// 为图片生成缩略图 by 何问起 /// ...
- html multiple select option 分组
普通html方式展示<select name="viewType" style="width: 100%;height: 300px;" multiple ...
- GridView中某一列值的总和(web)
protected void GridView1_RowDataBound(object sender, GridViewRowEventArgs e) { if (e.Row.R ...
- 对UIImage进行的一些操作
1.生成指定宽高的UIImage对象(oldImage为原始图片对象,newImage为操作后的图片对象) // 参数1:图片的尺寸 参数2:是否透明(没看出YES和NO有什么区别) 参数3:缩放(1 ...
- android查看真机中的数据库
0.在有网的前提下1.安装 Android Studio,Lantern,Chrome浏览器2.在在githab上搜索stetho,打开第一个facebook/stetho3.在Gradle Scri ...
- C++中extern关键字使用(转)
参考文章:http://blog.csdn.net/sruru/article/details/7951019 chapter1.如何混合编译C语言和C++ 实际开发过程中,C++中会调用C与语言编写 ...
- 网页布局只mian部分左右固定,中间部分自适应
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/ ...
- ICE学习第三步-----Slice语言
ICE:Slice语言(一)-编译 Introduce简介 Slice(Specification language for ice)是分离对象和对象的实现的基础的抽象机制.Slice在客户端和服务器 ...