Type Alias TensorRank2SparseVec2D 

pub type TensorRank2SparseVec2D<const D: usize, I, J, U = Dimensionless> = TensorVector<TensorRank2SparseVec<D, I, J, U>>;

A vector of sparse vectors of rank-2 tensors, storing only inserted entries.

Aliased Type

pub struct TensorRank2SparseVec2D<const D: usize, I, J, U = Dimensionless>(/* private fields */);

Implementations

impl<const D: usize, I, J, U> TensorRank2SparseVec2D<D, I, J, U>

pub fn zero(len: usize) -> Self

Trait Implementations

impl<const D: usize, I, J> AssertFd for TensorRank2SparseVec2D<D, I, J>

fn eq_within_fd_tol( tols: &Assert, a: Self, b: TensorRank2SparseVec2D<D, I, J>, ) -> Result<(), AssertionError>

impl<const D: usize, I, J, U> FiniteDifference for TensorRank2SparseVec2D<D, I, J, U>

fn error_fd( &self, comparator: &Self, epsilon: TensorRank0, ) -> Option<(bool, usize)>

impl<const D: usize, I, J, U> Hessian for TensorRank2SparseVec2D<D, I, J, U>

fn quadratic_form(&self, vector: &Vector) -> Scalar

The quadratic form of the Hessian with a vector.

fn entry(&self, row: usize, column: usize) -> Scalar

The entry at the given (row, column) position.

fn fill_into(self, square_matrix: &mut SquareMatrix)

Fills the Hessian into a square matrix.

fn retain_from(self, retained: &[bool]) -> SquareMatrix

Return only the retained indices.

impl<const D: usize, I, U> HessianAccumulate<D, I, U> for TensorRank2SparseVec2D<D, I, I, U>

fn accumulate(&mut self, a: usize, b: usize, block: TensorRank2<D, I, I, U>)

impl<const D: usize, I, J, K, U, V> Mul<TensorRank2<D, J, K, V>> for TensorRank2SparseVec2D<D, I, J, U>

where U: UnitMul<V>,

type Output = TensorVector<TensorRank2SparseVec<D, I, K, <U as UnitMul<V>>::Output>>

The resulting type after applying the * operator.

fn mul(self, tensor_rank_2: TensorRank2<D, J, K, V>) -> Self::Output

Performs the * operation.