假設我有n個半徑為r的圓。我想將它們隨機放置在大小為A x A的矩形內。
保證它們適合。可以假設所有圓的面積之和約為矩形面積的 60%。
我可以通過回溯、嘗試放置、回傳等來嘗試,但應該有更好的方法來做到這一點。
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一種可能性是在沒有進一步約束的情況下在矩形內生成隨機點,然后迭代地(通過小步驟)移動點/中心以避免重疊。如果兩點距離太近,每一點都會給對方帶來壓力,讓它稍微遠離一點。壓力越高,移動就越高。
這個程序是用 C 實作的。在下面的簡單代碼中,為了方便實作,點和向量都用parstd::complex型別表示。
請注意,我使用srandandrand用于測驗目的。您可能會使用更好的隨機演算法,具體取決于您的約束。
根據我進行的測驗,60% 的密度似乎可以保證收斂。我還做了一些密度為 70% 的測驗:有時收斂,有時不收斂。
復雜度是O(n^2 n_iter),其中n是圈n_iter數和迭代次數。
n_iter一般在 100 到 300 之間,密度為 60%。它可以通過放寬收斂標準來減少。
與評論中的其他提案相比,它可能看起來很復雜。實際上,對于n = 15,我的 PC 上的作業不到 30 毫秒就完成了。巨大的時間或足夠快,取決于背景關系。我已經包含了一個圖來說明該演算法。

#include <cstdlib>
#include <iostream>
#include <fstream>
#include <vector>
#include <ctime>
#include <complex>
#include <cmath>
#include <tuple>
#include <ios>
#include <iomanip>
using dcomplex = std::complex<double>;
void print (const std::vector<dcomplex>& centers) {
std::cout << std::setprecision (9);
std::cout << "\ncenters:\n";
for (auto& z: centers) {
std::cout << real(z) << ", " << imag(z) << "\n";
}
}
std::tuple<bool, int, double> process (double A, double R, std::vector<dcomplex>& centers, int n_iter_max = 100) {
bool check = true;
int n = centers.size();
std::vector<dcomplex> moves (n, 0.0);
double acceleration = 1.0001; // to accelerate the convergence, if density not too large
// could be made dependent of the iteration index
double dmin;
auto limit = [&] (dcomplex& z) {
double zx = real(z);
double zi = imag(z);
if (zx < R) zx = R;
if (zx > A-R) zx = A-R;
if (zi < R) zi = R;
if (zi > A-R) zi = A-R;
return dcomplex(zx, zi);
};
int iter;
for (iter = 0; iter < n_iter_max; iter) {
for (int i = 0; i < n; i) moves[i] = 0.0;
dmin = A;
for (int i = 0; i < n; i) {
for (int j = i 1; j < n; j) {
auto vect = centers[i] - centers[j];
double dist = std::abs(vect);
if (dist < dmin) dmin = dist;
double x = std::max (0.0, 2*R*acceleration - dist) / 2.0;
double coef = x / (dist R/10000);
moves[i] = coef * vect;
moves[j] -= coef * vect;
}
}
std::cout << "iteration " << iter << " dmin = " << dmin << "\n";
if (dmin/R >= 2.0 - 1.0e-6) break;
for (int i = 0; i < n; i) {
centers[i] = moves[i];
centers[i] = limit (centers[i]);
}
}
dmin = A;
for (int i = 0; i < n; i) {
for (int j = i 1; j < n; j) {
auto vect = centers[i] - centers[j];
double dist = std::abs(vect);
if (dist < dmin) dmin = dist;
}
}
std::cout << "Final: dmin/R = " << dmin/R << "\n";
check = dmin/R >= 2.0 - 1.0e-6;
return {check, iter, dmin};
}
int main() {
int n = 15; // number of circles
double R = 1.0; // ray of each circle
double density = 0.6; // area of all circles over total area A*A
double A; // side of the square
int n_iter = 1000;
A = sqrt (n*M_PI*R*R/density);
std::cout << "number of circles = " << n << "\n";
std::cout << "density = " << density << "\n";
std::cout << "A = " << A << std::endl;
std::vector<dcomplex> centers (n);
std::srand(std::time(0));
for (int i = 0; i < n; i) {
double x = R (A - 2*R) * (double) std::rand()/RAND_MAX;
double y = R (A - 2*R) * (double) std::rand()/RAND_MAX;
centers[i] = {x, y};
}
auto [check, n_iter_eff, dmin] = process (A, R, centers, n_iter);
std::cout << "check = " << check << "\n";
std::cout << "Relative min distance = " << std::setprecision (9) << dmin/R << "\n";
std::cout << "nb iterations = " << n_iter_eff << "\n";
print (centers);
return 0;
}
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