Type Alias TensorRank2SparseVec2D 

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

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

Aliased Type

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

Implementations

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

pub fn zero(len: usize) -> Self

Trait Implementations

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

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

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

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

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

impl<const D: usize, const I: usize> HessianAccumulateGeneral<D, I> for TensorRank2SparseVec2D<D, I, I>

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

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

type Output = TensorVector<TensorRank2SparseVec<D, I, K>>

The resulting type after applying the * operator.

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

Performs the * operation.