• HDU6812 Kindergarten Physics(假物理题真思维)


    Zhang3 a participant of IPhO (Immortal Physics Olympiad). The (0^mathrm{th}) problem in the contest is as follows.

    There are two balls that weigh (a) kg and (b) kg respectively. They can be regarded as particles in this problem, as they are small enough. At the very beginning (i.e. (t = 0)), the distance between two balls is (d) km, and both of them are not moving.

    Assuming that only gravitation works in this system (no other objects or other forces considered). The two balls has started moving since (t = 0). Your task is to calculate the distance between them when (t = t_0) (s).

    Help Zhang3 solve the problem!

    The following information might help when solving the problem.

    - Universal gravitation formula: (F = G cdot m_1 cdot m_2 / r ^ 2)

    - Gravitational constant: (G = 6.67430 imes 10^{-11} ; mathrm{m}^3 / (mathrm{kg} cdot mathrm{s}^2))

    Input

    The first line of the input gives the number of test cases (T ; (1 le T le 100)). (T) test cases follow.

    For each test case, the only line contains four integers (a, b, d, t_0 ; (1 le a, b, d, t_0 le 100)), representing the mass of the two balls, the initial distance between them, and how much time the balls move.

    It is guaranteed that two balls will not collide within ((t_0 + 1)) seconds.

    Output

    For each test case, print a line with a real number (x), representing that the distance is (x) km.

    Your answers should have absolute or relative errors of at most (10^{-6}).

    Sample Input

    3
    1 2 3 4
    7 73 7 68
    100 100 1 100
    

    Sample Output

    2.99999999999999999982
    6.99999999999999974807
    0.99999999999993325700
    

    显然,两个质点移动的距离与质量、时间正相关,与距离负相关。自己估算或者观察样例,发现在 数据范围可能的最坏情况下 (a=b=t_0=100,d=1),质点移动的距离远小于 (10^{-6})(所容许的误差值), 所以对于任意数据范围内的输入,都直接输出 d 即可。

    哭了.

  • 相关阅读:
    设计模式读书笔记
    effective_c++(第三版)读书笔记
    CS-Notes 操作系统读书笔记
    数据库笔记
    后台开发核心技术与应用读书笔记
    python3.7安装numpy pandas失败的处理方案
    线段树模板
    KMP算法
    离散实验——欧拉图的判定和应用
    堆排序算法及其实现
  • 原文地址:https://www.cnblogs.com/lipoicyclic/p/13406063.html
Copyright © 2020-2023  润新知