use crate::{diffusion_zeta_common, error::SemiflowError, grid_fn::GridFn1D};
use super::{Diffusion4thChernoff, C1, C2, C3, W0, W1, W2};
pub(super) use diffusion_zeta_common::{validate_a_x_f64, validate_tau_f64};
#[inline]
pub(super) fn gamma_a_baseline_f64(
dc: &Diffusion4thChernoff<f64>,
tau: f64,
f: &GridFn1D<f64>,
x: f64,
) -> Result<f64, SemiflowError> {
let s_half = 0.5 * tau;
let x_pre = x + s_half * dc.eval_ap(x);
let a_at_pre = dc.eval_a(x_pre);
validate_a_x_f64(a_at_pre, x_pre)?;
let h0 = 2.0 * libm::sqrt(a_at_pre * tau);
let h0_3 = 2.0 * libm::sqrt(3.0 * a_at_pre * tau);
let center_pos = x_pre + s_half * dc.eval_ap(x_pre);
let near_p_raw = x_pre + h0;
let near_p_pos = near_p_raw + s_half * dc.eval_ap(near_p_raw);
let near_neg_raw = x_pre - h0;
let near_neg_pos = near_neg_raw + s_half * dc.eval_ap(near_neg_raw);
let far_p_raw = x_pre + h0_3;
let far_p_pos = far_p_raw + s_half * dc.eval_ap(far_p_raw);
let far_neg_raw = x_pre - h0_3;
let far_neg_pos = far_neg_raw + s_half * dc.eval_ap(far_neg_raw);
let center = W0 * f.sample(center_pos)?;
let near = W1 * (f.sample(near_p_pos)? + f.sample(near_neg_pos)?);
let far = W2 * (f.sample(far_p_pos)? + f.sample(far_neg_pos)?);
Ok(center + near + far)
}
#[inline]
pub(super) fn fd7_f64(
f: &GridFn1D<f64>,
x: f64,
delta: f64,
coeffs: &[f64; 7],
deriv: u32,
) -> Result<f64, SemiflowError> {
let ks: [f64; 7] = [-3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0];
let mut sum = 0.0_f64;
for j in 0..7 {
sum += coeffs[j] * f.sample(x + ks[j] * delta)?;
}
let denom = libm::pow(delta, f64::from(deriv));
Ok(sum / denom)
}
#[inline]
pub(super) fn zeta4_correction_f64(
dc: &Diffusion4thChernoff<f64>,
tau: f64,
f: &GridFn1D<f64>,
x: f64,
) -> Result<f64, SemiflowError> {
let delta = (3.0 * dc.grid.dx()).max(libm::pow(tau, 0.75));
let a_x = dc.eval_a(x);
let a_prime_x = dc.eval_ap(x);
let app_x = dc.eval_app(x);
if a_prime_x == 0.0 && app_x == 0.0 {
return Ok(0.0);
}
let f1 = fd7_f64(f, x, delta, &C1, 1)?; let f2 = fd7_f64(f, x, delta, &C2, 2)?; let f3 = fd7_f64(f, x, delta, &C3, 3)?;
Ok(tau
* tau
* (a_x * a_prime_x * f3 + (a_x * app_x / 2.0) * f2 + (a_prime_x * app_x / 4.0) * f1))
}
#[inline]
pub(super) fn apply_at_node_f64(
dc: &Diffusion4thChernoff<f64>,
tau: f64,
f: &GridFn1D<f64>,
i: usize,
) -> Result<f64, SemiflowError> {
let x = dc.grid.x_at(i);
Ok(gamma_a_baseline_f64(dc, tau, f, x)? + zeta4_correction_f64(dc, tau, f, x)?)
}