Type Alias DualSVec 

pub type DualSVec<D, F, const N: usize> = DualVec<D, F, Const<N>>;

Aliased Type

pub struct DualSVec<D, F, const N: usize> {
    pub re: D,
    pub eps: Derivative<D, F, Const<N>, Const<1>>,
    /* private fields */
}

Fields

re: D

Real part of the dual number

eps: Derivative<D, F, Const<N>, Const<1>>

Derivative part of the dual number

Implementations

impl<T: DualNum<F>, F, const N: usize> DualSVec<T, F, N>

pub fn derivative(self, index: usize) -> Self

Set the derivative part of variable index to 1.

For most cases, the gradient function provides a convenient interface to calculate derivatives. This function exists for the more edge cases where more control over the variables is required.

let x: DualSVec64<2> = DualSVec64::from_re(5.0).derivative(0);
let y: DualSVec64<2> = DualSVec64::from_re(3.0).derivative(1);
let z = x * x * y;
assert_eq!(z.re, 75.0);                                           // x²y
assert_eq!(z.eps.unwrap_generic(U2, U1), vector![30.0, 25.0]);    // [2xy, x²]