Description

You surely have never heard of this new planet surface exploration scheme, as it is being carried out in a project with utmost secrecy. The scheme is expected to cut costs of conventional rover-type mobile explorers considerably, using projected-type equipment nicknamed "observation bullets".

Bullets do not have any active mobile abilities of their own, which is the main reason of their cost-efficiency. Each of the bullets, after being shot out on a launcher given its initial velocity, makes a parabolic trajectory until it touches down. It bounces on the surface and makes another parabolic trajectory. This will be repeated virtually infinitely.

We want each of the bullets to bounce precisely at the respective spot of interest on the planet surface, adjusting its initial velocity. A variety of sensors in the bullet can gather valuable data at this instant of bounce, and send them to the observation base. Although this may sound like a conventional target shooting practice, there are several issues that make the problem more difficult.

  • There may be some obstacles between the launcher and the target spot. The obstacles stand upright and are very thin that we can ignore their widths. Once the bullet touches any of the obstacles, we cannot be sure of its trajectory thereafter. So we have to plan launches to avoid these obstacles.
  • Launching the bullet almost vertically in a speed high enough, we can easily make it hit the target without touching any of the obstacles, but giving a high initial speed is energy-consuming. Energy is extremely precious in space exploration, and the initial speed of the bullet should be minimized. Making the bullet bounce a number of times may make the bullet reach the target with lower initial speed.
  • The bullet should bounce, however, no more than a given number of times. Although the body of the bullet is made strong enough, some of the sensors inside may not stand repetitive shocks. The allowed numbers of bounces vary on the type of the observation bullets.

You are summoned engineering assistance to this project to author a smart program that tells the minimum required initial speed of the bullet to accomplish the mission.

Figure D.1 gives a sketch of a situation, roughly corresponding to the situation of the Sample Input 4 given below.

Figure D.1. A sample situation

You can assume the following.

  • The atmosphere of the planet is so thin that atmospheric resistance can be ignored.
  • The planet is large enough so that its surface can be approximated to be a completely flat plane.
  • The gravity acceleration can be approximated to be constant up to the highest points a bullet can reach.

These mean that the bullets fly along a perfect parabolic trajectory.

You can also assume the following.

  • The surface of the planet and the bullets are made so hard that bounces can be approximated as elastic collisions. In other words, loss of kinetic energy on bounces can be ignored. As we can also ignore the atmospheric resistance, the velocity of a bullet immediately after a bounce is equal to the velocity immediately after its launch.
  • The bullets are made compact enough to ignore their sizes.
  • The launcher is also built compact enough to ignore its height.

You, a programming genius, may not be an expert in physics. Let us review basics of rigid-body dynamics.

We will describe here the velocity of the bullet v with its horizontal and vertical components vx and vy (positive meaning upward). The initial velocity has the components vix and viy, that is, immediately after the launch of the bullet, vx = vix and vy = viy hold. We denote the horizontal distance of the bullet from the launcher as x and its altitude as y at time t.

  • The horizontal velocity component of the bullet is kept constant during its flight when atmospheric resistance is ignored. Thus the horizontal distance from the launcher is proportional to the time elapsed.

    x=vixt(1)(1)x=vixt
  • The vertical velocity component vy is gradually decelerated by the gravity. With the gravity acceleration of g, the following differential equation holds during the flight.

    dvydt=−g(2)(2)dvydt=−g

    Solving this with the initial conditions of vy = viy and y = 0 when t = 0, we obtain the following.

    y==−12gt2+viyt−(12gt−viy)t(3)(4)(3)y=−12gt2+viyt(4)=−(12gt−viy)t

    The equation (4) tells that the bullet reaches the ground again when t = 2viy/g. Thus, the distance of the point of the bounce from the launcher is 2vixviy/g. In other words, to make the bullet fly the distance of l, the two components of the initial velocity should satisfy 2vixviy = lg.

  • Eliminating the parameter t from the simultaneous equations above, we obtain the following equation that escribes the parabolic trajectory of the bullet.

    y=−(g2v2ix)x2+(viyvix)x(5)(5)y=−(g2vix2)x2+(viyvix)x

For ease of computation, a special unit system is used in this project, according to which the gravity acceleration g of the planet is exactly 1.0.

Input

The input consists of several tests case with the following format.

d n bp1 h1p2 h2⋮pn hnd n bp1 h1p2 h2⋮pn hn

For each test, the first line contains three integers, dn, and b. Here, d is the distance from the launcher to the target spot (1 ≤ d ≤ 10000), n is the number of obstacles (1 ≤ n ≤ 10), and b is the maximum number of bounces allowed, not including the bounce at the target spot (0 ≤ b ≤ 15).

Each of the following n lines has two integers. In the k-th line, pk is the position of the k-th obstacle, its distance from the launcher, and hk is its height from the ground level. You can assume that 0 < p1, pk < pk + 1 for k = 1, …, n − 1, and pn < d. You can also assume that 1 ≤ hk ≤ 10000 for k = 1, …, n.

Output

Output the smallest possible initial speed vi that makes the bullet reach the target. The initial speed vi of the bullet is defined as follows.

vi=v2ix+v2iy−−−−−−−√vi=vix2+viy2

The output should not contain an error greater than 0.0001.

Sample Input

100 1 0
50 100 10 1 0
4 2 100 4 3
20 10
30 10
40 10
50 10 343 3 2
56 42
190 27
286 34

Sample Output

14.57738
3.16228
7.78175
11.08710 这题一开始二分写的,但是第二组样例一直过不去,后面深入思考,
速度其实是有一个表达式的,hmax有一个最小值,二分没有想到这点,
需要特判一下

不会电脑画图,就这样吧,一些重要的公式推导写出来了。

 #include <cstdio>
#include <algorithm>
#include <vector>
#include <queue>
#include <cstring>
#include <string>
#include <cmath>
#include <map>
using namespace std;
const int maxn = 2e5 + ;
const int INF = 0x7fffffff;
double x[], h[], x1[], h1[];
double d, len, ans, hmax;
int n, b;
int main() {
while(scanf("%lf%d%d", &d, &n, &b) != EOF) {
ans = 1.0 * INF;
for (int i = ; i < n ; i++) {
scanf("%lf%lf", &x[i], &h[i]);
}
int flag = ;
for (int i = ; i <= b + ; i++) {
len = 1.0 * d / (1.0 * i);
flag = ;
hmax = -;
for (int j = ; j < n ; j++) {
x1[j] = x[j];
while(x1[j] - len >= ) {
x1[j] -= len;
}
h1[j] = h[j];
if (fabs(x[j]) <= 1e-) {
flag = ;
break;
}
double temph = len * len * h1[j] / (len - x1[j]) / x1[j] / 4.0;
hmax = max(hmax, temph);
}
if (flag == ) continue;
if (hmax < len / ) ans = min(ans, len);
else ans = min(len * len / / hmax + * hmax, ans);
}
printf("%.5f\n", sqrt(ans));
}
return ;
}

Space Golf~物理题目的更多相关文章

  1. Codeforces Gym 100803D Space Golf 物理题

    Space Golf 题目连接: http://codeforces.com/gym/100803/attachments Description You surely have never hear ...

  2. UVALive 6886 Golf Bot FFT

    Golf Bot 题目连接: http://acm.hust.edu.cn/vjudge/problem/visitOriginUrl.action?id=129724 Description Do ...

  3. HDU 6373.Pinball -简单的计算几何+物理受力分析 (2018 Multi-University Training Contest 6 1012)

    6373.Pinball 物理受力分析题目. 画的有点丑,通过受力分析,先求出θ角,为arctan(b/a),就是atan(b/a),然后将重力加速度分解为垂直斜面的和平行斜面的,垂直斜面的记为a1, ...

  4. 2014-2015 ACM-ICPC, Asia Tokyo Regional Contest

    2014-2015 ACM-ICPC, Asia Tokyo Regional Contest A B C D E F G H I J K O O O O   O O         A - Bit ...

  5. C语言100道经典算法

    经典的100个c算法 C语言的学习要从基础,100个经典的算法真不知道关于语言的应该发在那里,所以就在这里发了,发贴的原因有2个,第一个,这东西非常值得学习,第二个,想..........嘿嘿,大家应 ...

  6. MMO之禅(三)职业能力

    MMO之禅(三)职业能力 --技术九层阶梯 Zephyr 201304 有了精神,我们还需要实际的行动. 到底需要什么能力?自我分析,窃以为为有九层,无所谓高低,因为每一层都需要不断地砥砺,编程,本身 ...

  7. C语言100个经典算法

    POJ上做做ACM的题 语言的学习基础,100个经典的算法C语言的学习要从基础开始,这里是100个经典的算法-1C语言的学习要从基础开始,这里是100个经典的算法 题目:古典问题:有一对兔子,从出生后 ...

  8. c-大量经典的c算法---ShinePans

    经典的100个c算法 算法  题目:古典问题:有一对兔子.从出生后第3个月起每一个月都生一对兔子.小兔 子长到第三个月后每一个月又生一对兔子,假如兔子都不死,问每一个月的兔子总数 为多少? _____ ...

  9. LeetCode OJ 73. Set Matrix Zeroes

    Given a m x n matrix, if an element is 0, set its entire row and column to 0. Do it in place. click ...

随机推荐

  1. OpenCV计算物体的重心坐标(2值图像)

    效果图: 代码: // FindGravity.cpp : 定义控制台应用程序的入口点. // #include "stdafx.h" #include <iostream& ...

  2. Dynamics CRM 给视图配置安全角色

    CRM2011后给表单设置了安全角色,可以配置实体表单给不同的安全角色查看,但视图的权限始终没有开放配置,这里介绍个工具可以实现这种配置. 先奉上2011/2013版本的工具地址(2015/2016见 ...

  3. 11.2、Libgdx的音频之音乐

    (官网:www.libgdx.cn) 对于任何超过5秒的声音来说,最好将其放到磁盘中而不是内存中.Libgdx提供了一个Music接口来帮我们实现. 以下载入Music实例: Music music ...

  4. C语言--字符串和数字的相互转换

    1.数字转换为字符串 sprintf 跟printf 在用法上几乎一样,只是打印的目的地不同而已,前者打印到字符串中,后者则直接在命令行上输出. sprintf 是个变参函数,定义如下: int sp ...

  5. 小强的HTML5移动开发之路(10)——在线画板

    来自:http://blog.csdn.net/dawanganban/article/details/18094557 在这一篇文章中我们用html5来实现一个在线的画板,玩过你画我猜的朋友今天也可 ...

  6. thinkpad x260在ubuntu 14.04lts wifi驱动安装 ( ubuntu iwlwifi驱动 都可行 )

    实验室要新购笔记本x260,用于ROS调试,装上ubuntu-ros后,发现wifi不支持. 查阅大量资料,如下: http://www.ubuntu.com/certification/hardwa ...

  7. 基于Bootstrap的Metro风格模板

    这几天在看Bootstrap的一些书,这里整理一下书中的一些模板,方便以后使用. 1.BootMetro http://www.guoxiaoming.com/bootmetro/ 2.Bootswa ...

  8. 《java入门第一季》之LinkList模拟桟结构案例

    需求:请用LinkedList模拟栈数据结构的集合,并测试 题目的意思是: 你自己的定义一个集合类,在这个集合类内部可以使用LinkedList模拟. 定义一个类叫MyStack代码如下: packa ...

  9. 【算法导论】最小生成树之Kruskal法

    在图论中,树是指无回路存在的连通图.一个连通图的生成树是指包含了所有顶点的树.如果把生成树的边的权值总和作为生成树的权,那么权值最小的生成树就称为最小生成树.因为最小生成树在实际中有很多应用,所以我们 ...

  10. Linux C OSS音频编程

    在linux下也可以写一个类似麦克风和喇叭这样的应用程序,只要打开/dev/dsp这个设备驱动,对该设备read读操作相当于录音,对这个设备write写操作相当于放音. 对于以下出现的一些参数我就不多 ...