Function besselj_seq 

pub fn besselj_seq<T: BesselFloat>(
    nu: T,
    z: Complex<T>,
    n: usize,
    scaling: Scaling,
) -> Result<BesselResult<T>, Error>

Compute J_ν+j(z) for j = 0, 1, …, n−1 in a single call.

Returns a BesselResult containing n values and an Accuracy:

• Accuracy::Normal — no significant precision loss
• Accuracy::Reduced — more than half of significant digits may be lost (|z| or |ν| very large)

The scaling parameter selects Scaling::Unscaled or Scaling::Exponential; see crate-level docs for details.

Supports negative ν via the same reflection formula as besselj.

Example

use complex_bessel::*;
use num_complex::Complex;

let z = Complex::new(1.0_f64, 0.0);

// J_0(z), J_1(z), J_2(z) in one call
let result = besselj_seq(0.0, z, 3, Scaling::Unscaled).unwrap();
assert_eq!(result.values.len(), 3);
assert!((result.values[0].re - 0.7652).abs() < 1e-3); // J_0(1) ≈ 0.7652

Errors

• Error::InvalidInput if n < 1, or if z = 0 and ν is a negative non-integer.
• Error::Overflow if |z| or |ν| is too large for a finite result.
• Error::TotalPrecisionLoss if |z| or |ν| is too large for any significant digits (roughly > 10⁹ for f64).
• Error::ConvergenceFailure if an internal series or recurrence does not converge (rare).