1.N维凸包问题，但是找不到太多相关的资料
2.使用Python 中的scipy.spatial.distance.pdist，但是这个方法算的是所有欧式距离，把他们放在一个列表中，最后会导致空间不够用
3.因为2的底层写的好，时间用的少，故想在2的基础上，修改底层代码，或者按照2的方法写一段自己的代码，不知道其具体写法

1个回答

Problem Description The government in a foreign country is looking into the possibility of establishing a subway system in its capital. Because of practical reasons, they would like each subway line to start at the central station and then go in a straight line in some angle as far as necessary. You have been hired to investigate whether such an approach is feasible. Given the coordinates of important places in the city as well as the maximum distance these places can be from a subway station (possibly the central station, which is already built), your job is to calculate the minimum number of subway lines needed. You may assume that any number of subway stations can be built along a subway line. Figure 1: The figure above corresponds to the first data set in the example input. Input The first line in the input file contains an integer N, the number of data sets to follow. Each set starts with two integers, n and d (1 <= n <= 500, 0 <= d < 150). n is the number of important places in the city that must have a subway station nearby, and d is the maximum distance allowed between an important place and a subway station. Then comes n lines, each line containing two integers x and y (-100 <= x, y <= 100), the coordinates of an important place in the capital. The central station will always have coordinates 0, 0. All pairs of coordinates within a data set will be distinct (and none will be 0, 0). Output For each data set, output a single integer on a line by itself: the minimum number of subway lines needed to make sure all important places in the city is at a distance of at most d from a subway station. Sample Input 2 7 1 -1 -4 -3 1 -3 -1 2 3 2 4 2 -2 6 -2 4 0 0 4 -12 18 0 27 -34 51 Sample Output 4 2

Problem Description 输入两点坐标（X1,Y1）,（X2,Y2）,计算并输出两点间的距离。 Input 输入数据有多组，每组占一行，由4个实数组成，分别表示x1,y1,x2,y2,数据之间用空格隔开。 Output 对于每组输入数据，输出一行，结果保留两位小数。 Sample Input 0 0 0 1 0 1 1 0 Sample Output 1.00 1.41

python中如何利用多个点对计算距离？

![图片说明](https://img-ask.csdn.net/upload/202002/13/1581594217_402159.png) 如图，这是.csv文件里的，2-27行是很多点对的x,y,坐标，怎么用python求解出这些点对间的路程呢 想到两个点两个点的求距离，但不会写循环的公式 小白求指教

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Problem Description A number x is called a perfect square if there exists an integer b satisfying x=b^2. There are many beautiful theorems about perfect squares in mathematics. Among which, Pythagoras Theorem is the most famous. It says that if the length of three sides of a right triangle is a, b and c respectively(a < b <c), then a^2 + b^2=c^2. In this problem, we also propose an interesting question about perfect squares. For a given n, we want you to calculate the number of different perfect squares mod 2^n. We call such number f(n) for brevity. For example, when n=2, the sequence of {i^2 mod 2^n} is 0, 1, 0, 1, 0……, so f(2)=2. Since f(n) may be quite large, you only need to output f(n) mod 10007. Input The first line contains a number T<=200, which indicates the number of test case. Then it follows T lines, each line is a positive number n(0<n<2*10^9). Output For each test case, output one line containing "Case #x: y", where x is the case number (starting from 1) and y is f(x). Sample Input 2 1 2 Sample Output Case #1: 2 Case #2: 2

Problem Description PM Room defines a sequence A = {A1, A2,..., AN}, each of which is either 0 or 1. In order to beat him, programmer Moor has to construct another sequence B = {B1, B2,... , BN} of the same length, which satisfies that: Input The input consists of multiple test cases. The number of test cases T(T<=100) occurs in the first line of input. For each test case: The first line contains a single integer N (1<=N<=100000), which denotes the length of A and B. The second line consists of N integers, where the ith denotes Ai. Output Output the minimal f (A, B) when B is optimal and round it to 6 decimals. Sample Input 4 9 1 1 1 1 1 0 0 1 1 9 1 1 0 0 1 1 1 1 1 4 0 0 1 1 4 0 1 1 1 Sample Output 1.428571 1.000000 0.000000 0.000000

【求助~~】opencv surf 如何计算两帧图片的重叠度是否>80%？

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