Trait Differentiable 

pub trait Differentiable<T = Time>
where
    Self: Tensor,
{
    type Derivative: Tensor;
}

A tensor that can be differentiated with respect to a variable of unit T.

The derivative is named by the tensor rather than passed in alongside it, being the same tensor with its unit divided by the variable’s. A tuple computes each half’s derivative on its own, so the pair of units its halves carry never has to be taken apart.

The variable of integration need not be a time — an arclength or a load parameter is just as ordinary — so it is named rather than assumed, with time as the default for the common case.

Required Associated Types

type Derivative: Tensor

The derivative with respect to the variable of integration.

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety".

Implementors

impl<E, T, const N: usize> Differentiable<T> for TensorList<E, N>

where E: Differentiable<T> + Tensor, <E as Differentiable<T>>::Derivative: Tensor,

type Derivative = TensorList<<E as Differentiable<T>>::Derivative, N>

impl<E, T> Differentiable<T> for TensorVector<E>

where E: Differentiable<T> + Tensor, <E as Differentiable<T>>::Derivative: Tensor,

type Derivative = TensorVector<<E as Differentiable<T>>::Derivative>

impl<T1, T2, T> Differentiable<T> for TensorTuple<T1, T2>

where T1: Differentiable<T> + Tensor, T2: Differentiable<T> + Tensor, <T1 as Differentiable<T>>::Derivative: Tensor, <T2 as Differentiable<T>>::Derivative: Tensor,

type Derivative = TensorTuple<<T1 as Differentiable<T>>::Derivative, <T2 as Differentiable<T>>::Derivative>

impl<U, T> Differentiable<T> for Quantity<U>

where U: UnitDiv<T>,

type Derivative = Quantity<<U as UnitDiv<T>>::Output>

impl<const D: usize, I, J, K, L, U, T> Differentiable<T> for TensorRank4<D, I, J, K, L, U>

where U: UnitDiv<T>,

type Derivative = TensorRank4<D, I, J, K, L, <U as UnitDiv<T>>::Output>

impl<const D: usize, I, J, U, T> Differentiable<T> for TensorRank2<D, I, J, U>

where U: UnitDiv<T>,

type Derivative = TensorRank2<D, I, J, <U as UnitDiv<T>>::Output>

impl<const D: usize, I, U, T> Differentiable<T> for TensorRank1<D, I, U>

where U: UnitDiv<T>,

type Derivative = TensorRank1<D, I, <U as UnitDiv<T>>::Output>