use rand::rngs::OsRng;
use rand::Rng;
pub struct BrownianBridge {
pub alpha: f64,
pub beta: f64,
pub sigma: f64,
pub n_paths: usize,
pub n_steps: usize,
pub t_end: f64,
}
impl BrownianBridge {
pub fn new(alpha: f64, beta: f64, sigma: f64, n_paths: usize, n_steps: usize, t_end: f64) -> Self {
Self { alpha, beta, sigma, n_paths, n_steps, t_end }
}
pub fn simulate(&self) -> Vec<Vec<f64>> {
let dt = self.t_end / self.n_steps as f64;
let mut rng = OsRng;
let mut paths = vec![vec![self.alpha; self.n_steps + 1]; self.n_paths];
for i in 0..self.n_paths {
for j in 1..self.n_steps {
let d_w = rng.gen::<f64>() * dt.sqrt();
if let Some(prev) = paths[i].get(j - 1) {
paths[i][j] = prev + (self.beta - prev) / (self.n_steps - j + 1) as f64 + self.sigma * d_w;
}
}
paths[i][self.n_steps] = self.beta; }
paths
}
}