POJ 2069 模拟退火算法
| Time Limit: 1000MS | Memory Limit: 65536K | |||
| Total Submissions: 6422 | Accepted: 1591 | Special Judge | ||
Description
According to this theory, starts we are observing are not independent objects, but only small portions of larger objects called super stars. A super star is filled with invisible (or transparent) material, and only a number of points inside or on its surface shine. These points are observed as stars by us.
In order to verify this theory, Dr. Extreme wants to build motion equations of super stars and to compare the solutions of these equations with observed movements of stars. As the first step, he assumes that a super star is sphere-shaped, and has the smallest possible radius such that the sphere contains all given stars in or on it. This assumption makes it possible to estimate the volume of a super star, and thus its mass (the density of the invisible material is known).
You are asked to help Dr. Extreme by writing a program which, given the locations of a number of stars, finds the smallest sphere containing all of them in or on it. In this computation, you should ignore the sizes of stars. In other words, a star should be regarded as a point. You may assume the universe is a Euclidean space.
Input
n
x1 y1 z1
x2 y2 z2
. . .
xn yn zn
The first line of a data set contains an integer n, which is the number of points. It satisfies the condition 4 <= n <= 30.
The location of n points are given by three-dimensional orthogonal coordinates: (xi, yi, zi) (i = 1, ..., n). Three coordinates of a point appear in a line, separated by a space character. Each value is given by a decimal fraction, and is between 0.0 and 100.0 (both ends inclusive). Points are at least 0.01 distant from each other.
The end of the input is indicated by a line containing a zero.
Output
Sample Input
4
10.00000 10.00000 10.00000
20.00000 10.00000 10.00000
20.00000 20.00000 10.00000
10.00000 20.00000 10.00000
4
10.00000 10.00000 10.00000
10.00000 50.00000 50.00000
50.00000 10.00000 50.00000
50.00000 50.00000 10.00000
0
Sample Output
7.07107
34.64102
这道题和POJ2420相比有一些不同的地方
这道题采取直接在图中随机取一个点搜索会很难控制精度,通过看其他巨佬的做法才发现从(0,0,0)这个点搜索,遍历比较得到各个点与当前所在点距离最远的那个点,
然后缩短这个点与当前点的的距离来同时控制方向和精度才是这道题最简单的做法
#include <iostream>
#include <cstdio>
#include <cstring>
#include <string>
#include <map>
#include <set>
#include <list>
#include <deque>
#include <queue>
#include <stack>
#include <vector>
#include <cmath>
#include <algorithm>
using namespace std;
#define it iterator
#define ll long long
#define eb emplace_back
#define lowbit(x) x & -x
#define all(x) x.begin(),x.end()
#define ZERO(a) memset(a,0,sizeof(a))
#define MINUS(a) memset(a,0xff,sizeof(a))
#define per(x,a,b) for(int x = a; x <= b; x++)
#define rep(x,a,b) for(int x = a; x >= b; x--)
#define IO ios::sync_with_stdio(false),cin.tie(0),cout.tie(0) const int birth = ;
const int mo = ;
const int maxn = 1e5 + ;
const int mod = 1e9 + ;
const int INF = 0x3fffffff;
const double eps = 1e-; //******************THE PROGRAM BEGINING******************
struct node
{
double x, y, z;
}p[]; double dis(node a, node b)
{
return sqrt(pow(a.x - b.x, ) + pow(a.y - b.y, ) + pow(a.z - b.z, ));
} double solve(int n)
{
double ans,cmp;
double T = 100.0;
double delat = 0.98;
node now;
now.x = now.y = now.z = 0.0;
int pos = ;
while (T > eps)
{
pos = ;
ans = dis(now, p[pos]);
per(i, , n - )
{
cmp = dis(now, p[i]);
if (cmp > ans)
{
pos = i;
ans = cmp;
}
}
now.x += (p[pos].x - now.x) / ans * T;
now.y += (p[pos].y - now.y) / ans * T;
now.z += (p[pos].z - now.z) / ans * T;
T *= delat;
}
return ans;
} int main()
{
int n;
while (scanf("%d",&n) && n)
{
per(i, , n - )
scanf("%lf %lf %lf", &p[i].x, &p[i].y, &p[i].z); printf("%.5lf\n",solve(n));
}
return ;
}
POJ 2069 模拟退火算法的更多相关文章
- POJ 2069 Super Star(计算几何の最小球包含+模拟退火)
Description During a voyage of the starship Hakodate-maru (see Problem 1406), researchers found stra ...
- 初探 模拟退火算法 POJ2420 HDU1109
模拟退火算法来源于固体退火原理,更多的化学物理公式等等这里不再废话,我们直接这么来看 模拟退火算法简而言之就是一种暴力搜索算法,用来在一定概率下查找全局最优解 找的过程和固体退火原理有所联系,一般来讲 ...
- POJ 1379 模拟退火
模拟退火算法,很久之前就写过一篇文章了.双倍经验题(POJ 2420) 题意: 在一个矩形区域内,求一个点的距离到所有点的距离最短的那个,最大. 这个题意,很像二分定义,但是毫无思路,也不能暴力枚举, ...
- 模拟退火算法-[HDU1109]
模拟退火算法的原理模拟退火算法来源于固体退火原理,将固体加温至充分高,再让其徐徐冷却,加温时,固体内部粒子随温升变为无序状,内能增大,而徐徐冷却时粒子渐趋有序,在每个温度都达到平衡态,最后在常温时达到 ...
- 【高级算法】模拟退火算法解决3SAT问题(C++实现)
转载请注明出处:http://blog.csdn.net/zhoubin1992/article/details/46453761 ---------------------------------- ...
- 模拟退火算法(SA)求解TSP 问题(C语言实现)
这篇文章是之前写的智能算法(遗传算法(GA).粒子群算法(PSO))的补充.其实代码我老早之前就写完了,今天恰好重新翻到了,就拿出来给大家分享一下,也当是回顾与总结了. 首先介绍一下模拟退火算法(SA ...
- 原创:工作指派问题解决方案---模拟退火算法C实现
本文忽略了对于模拟退火的算法的理论讲解,读者可参考相关的博文或者其他相关资料,本文着重于算法的实现: /************************************************ ...
- BZOJ 3680: 吊打XXX【模拟退火算法裸题学习,爬山算法学习】
3680: 吊打XXX Time Limit: 10 Sec Memory Limit: 128 MBSec Special JudgeSubmit: 3192 Solved: 1198[Sub ...
- OI骗分神器——模拟退火算法
前言&&为什么要学模拟退火 最近一下子学了一大堆省选算法,所以搞一个愉快一点的东西来让娱乐一下 其实是为了骗到更多的分,然后证明自己的RP. 说实话模拟退火是一个集物理与IT多方面知识 ...
随机推荐
- [AlgorithmStaff] Bresenham快速直线算法
操作系统:Windows8.1 显卡:Nivida GTX965M 开发工具:Unity2017.3 | NativeC 最近在学习 Unity tilemap Brush 自定义笔刷功能时候,看到其 ...
- Apache Sqoop 结构化、非结构化数据转换工具
简介: Apache Sqoop 是一种用于 Apache Hadoop 与关系型数据库之间结构化.非结构化数据转换的工具. 一.安装 MySQL.导入测试数据 1.文档链接:http://www.c ...
- protobuf's custom-options
[protobuf's custom-options] protobuf可以设置属性,就像__attribute__可以给函数设置属性一样,protobuf更牛的是可以设置自定义属性.实际就是属性对象 ...
- NBU 还原主/others服务器的SQLSERVER
一.将数据库还原回主服务器 1.运行NetBackup MS SQL Client(10.10.0.14 administrator)2.设置连接属性 testsa 添加验证凭据 3.选择恢复,再选择 ...
- json的例子
{ "Code": 200, "Msg": "", "Result": "{\"Platfor ...
- python3菜鸟教程
http://www.runoob.com/python3/python3-class.html
- sql server 日期转换
一.时间函数 在使用存储过程,sql函数的时候,会遇到一些对时间的处理.比如时间的获取与加减.这里就用到了sql自带的时间函数.下面我列出这些函数,方便日后记忆,使用. --getdate 获取当前时 ...
- wcf 调试
1>在开发环境中调试,我们先在WCF服务上将服务Serivce1.svc设置为启动页面 然后在WCF上Debug中启动新实例 服务就启动起来了 2>wcf发布以后调试,只需在Visual ...
- Linux enca命令
一.简介 enca是Linux下的文件编码转换工具. 二.安装 http://dl.cihar.com/enca/ http://www.2cto.com/os/201404/295528.htm ...
- Java Thread系列(五)synchronized
Java Thread系列(五)synchronized synchronized锁重入 关键字 synchronized 拥有锁重入的功能,也就是在使用 synchronized 时,当线程等到一个 ...