Trait GradientEstimation 

pub trait GradientEstimation<F: Float + FromPrimitive + Debug + FloatCore> {
    // Required methods
    fn gradient(
        &self,
        query: &ArrayView1<'_, F>,
    ) -> InterpolateResult<Array1<F>>;
    fn gradient_multi(
        &self,
        queries: &ArrayView2<'_, F>,
    ) -> InterpolateResult<Array2<F>>;
}

Trait for interpolators that can compute gradients

Required Methods

fn gradient(&self, query: &ArrayView1<'_, F>) -> InterpolateResult<Array1<F>>

Computes the gradient of the interpolated function at a query point

Arguments

• query - The point at which to compute the gradient

Returns

A vector of partial derivatives with respect to each coordinate

fn gradient_multi( &self, queries: &ArrayView2<'_, F>, ) -> InterpolateResult<Array2<F>>

Computes the gradients of the interpolated function at multiple query points

Arguments

• queries - The points at which to compute gradients

Returns

A matrix where each row is the gradient at the corresponding query point

Implementors

impl<F: Float + FromPrimitive + Debug + ScalarOperand + 'static + for<'a> Sum<&'a F> + PartialOrd + FloatCore> GradientEstimation<F> for NaturalNeighborInterpolator<F>

Extends NaturalNeighborInterpolator with gradient estimation