Based on your request and the provided search results, I'll create a C++ program that incorporates std::array, std::vector, and std::unordered_map to simulate a molecular dynamics system and a heat distribution grid. Here's the implementation:
auto | command_line_arguments | header array | header cmath | header iostream | header stdexcept | header stdexcept | header unordered_map | header utility | header vector | namespace | range-based std::pair
#include <iostream>
#include <vector>
#include <array>
#include <unordered_map>
#include <cmath>
// Define a 3D vector using std::array
using Vector3D = std::array<double, 3>;
// Particle class for molecular dynamics simulation
class Particle {
public:
Particle(const Vector3D& pos, const Vector3D& vel) : position(pos), velocity(vel) {}
void updatePosition(double dt) {
for (int i = 0; i < 3; ++i) {
position[i] += velocity[i] * dt;
}
}
void print() const {
std::cout << "Position: (" << position[0] << ", " << position[1] << ", " << position[2] << ") "
<< "Velocity: (" << velocity[0] << ", " << velocity[1] << ", " << velocity[2] << ")\n";
}
private:
Vector3D position;
Vector3D velocity;
};
// Heat distribution simulation using std::unordered_map
class HeatDistribution {
public:
void setTemperature(int x, int y, double temp) {
// In python, one would write: grid[[x, y]] = temp, or grid((x,y)) = temp. Simpler.
// Alternatively, grid(x, y) = ... (overload () operator)
grid[std::make_pair(x, y)] = temp;
}
double getTemperature(int x, int y) const {
auto it = grid.find(std::make_pair(x, y));
return (it != grid.end()) ? it->second : 0.0;
}
void print() const {
for (const auto& entry : grid) {
std::cout << "Grid point (" << entry.first.first << ", " << entry.first.second
<< "): Temperature = " << entry.second << "\n";
}
}
private:
std::unordered_map<std::pair<int, int>, double> grid;
};
int main() {
// Molecular dynamics simulation using std::vector
std::vector<Particle> particles;
particles.emplace_back(Vector3D{0.0, 0.0, 0.0}, Vector3D{1.0, 1.0, 1.0});
particles.emplace_back(Vector3D{1.0, 1.0, 1.0}, Vector3D{-1.0, 0.5, 0.5});
particles.emplace_back(Vector3D{-1.0, 0.5, 0.5}, Vector3D{0.5, -1.0, 0.5});
std::cout << "Initial particle states:\n";
for (const auto& p : particles) {
p.print();
}
// Update particle positions
double dt = 0.1;
for (auto& p : particles) {
p.updatePosition(dt);
}
std::cout << "\nParticle states after update:\n";
for (const auto& p : particles) {
p.print();
}
// Heat distribution simulation
HeatDistribution heatGrid;
heatGrid.setTemperature(0, 0, 100.0);
heatGrid.setTemperature(0, 1, 75.0);
heatGrid.setTemperature(1, 0, 50.0);
heatGrid.setTemperature(1, 1, 25.0);
std::cout << "\nHeat distribution grid:\n";
heatGrid.print();
return 0;
}
This program demonstrates the use of the requested C++ features:
std::array
: Used to define Vector3D
as a fixed-size 3D vector for particle positions and velocities.
std::vector
: Used to store a dynamically sized list of Particle
objects in the molecular dynamics simulation.
std::unordered_map
: Used in the HeatDistribution
class to map grid points (represented as pairs of integers) to temperature values, ensuring fast access to data.
The program simulates a simple molecular dynamics system by updating particle positions over time and demonstrates a heat distribution grid using an unordered map for efficient temperature lookups.
This implementation provides a foundation for more complex simulations in computational physics and chemistry. You can extend it by adding more sophisticated particle interactions, boundary conditions, or heat transfer mechanisms depending on your specific requirements.