numeris 0.5.1

Pure-Rust numerical algorithms library — high performance with SIMD support while also supporting no-std for embedded and WASM targets.
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use super::adaptive::RKAdaptive;

/// Runge-Kutta-Fehlberg 4(5) — 6 stages, order 5(4).
pub struct RKF45;

impl RKAdaptive<6, 1> for RKF45 {
    const A: [[f64; 6]; 6] = [
        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
        [0.25, 0.0, 0.0, 0.0, 0.0, 0.0],
        [3.0 / 32.0, 9.0 / 32.0, 0.0, 0.0, 0.0, 0.0],
        [
            1932.0 / 2197.0,
            -7200.0 / 2197.0,
            7296.0 / 2197.0,
            0.0,
            0.0,
            0.0,
        ],
        [
            439.0 / 216.0,
            -8.0,
            3680.0 / 513.0,
            -845.0 / 4104.0,
            0.0,
            0.0,
        ],
        [
            -8.0 / 27.0,
            2.0,
            -3544.0 / 2565.0,
            1859.0 / 4104.0,
            -11.0 / 40.0,
            0.0,
        ],
    ];

    const B: [f64; 6] = [
        16.0 / 135.0,
        0.0,
        6656.0 / 12825.0,
        28561.0 / 56430.0,
        -9.0 / 50.0,
        2.0 / 55.0,
    ];

    const BERR: [f64; 6] = {
        const BSTAR: [f64; 6] = [
            25.0 / 216.0,
            0.0,
            1408.0 / 2565.0,
            2197.0 / 4104.0,
            -0.2,
            0.0,
        ];
        let mut berr = [0.0; 6];
        let mut ix: usize = 0;
        while ix < 6 {
            berr[ix] = BSTAR[ix] - RKF45::B[ix];
            ix += 1;
        }
        berr
    };

    const C: [f64; 6] = [0.0, 0.25, 3.0 / 8.0, 12.0 / 13.0, 1.0, 0.5];

    const BI: [[f64; 1]; 6] = [
        [16.0 / 135.0],
        [0.0],
        [6656.0 / 12825.0],
        [28561.0 / 56430.0],
        [-9.0 / 50.0],
        [2.0 / 55.0],
    ];

    const ORDER: usize = 4;
    const FSAL: bool = false;
}