Struct TensorRank2Vec

pub struct TensorRank2Vec<const D: usize, const I: usize, const J: usize>(/* private fields */);

A vector of d-dimensional tensors of rank 2.

D is the dimension, I, J are the configurations.

Trait Implementations

impl<const D: usize, const I: usize, const J: usize> Add<&TensorRank2Vec<D, I, J>> for TensorRank2Vec<D, I, J>

type Output = TensorRank2Vec<D, I, J>

The resulting type after applying the + operator.

fn add(self, tensor_rank_2_vec: &Self) -> Self::Output

Performs the + operation.

impl<const D: usize, const I: usize, const J: usize> Add for TensorRank2Vec<D, I, J>

type Output = TensorRank2Vec<D, I, J>

The resulting type after applying the + operator.

fn add(self, tensor_rank_2_vec: Self) -> Self::Output

Performs the + operation.

impl<const D: usize, const I: usize, const J: usize> AddAssign<&TensorRank2Vec<D, I, J>> for TensorRank2Vec<D, I, J>

fn add_assign(&mut self, tensor_rank_2_vec: &Self)

Performs the += operation.

impl<const D: usize, const I: usize, const J: usize> AddAssign for TensorRank2Vec<D, I, J>

fn add_assign(&mut self, tensor_rank_2_vec: Self)

Performs the += operation.

impl<const D: usize, const I: usize, const J: usize> Clone for TensorRank2Vec<D, I, J>

fn clone(&self) -> TensorRank2Vec<D, I, J>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<const D: usize, const I: usize, const J: usize> Debug for TensorRank2Vec<D, I, J>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<const D: usize, const I: usize, const J: usize> Display for TensorRank2Vec<D, I, J>

fn fmt(&self, _f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<const D: usize, const I: usize, const J: usize> Div<&f64> for TensorRank2Vec<D, I, J>

type Output = TensorRank2Vec<D, I, J>

The resulting type after applying the / operator.

fn div(self, tensor_rank_0: &TensorRank0) -> Self::Output

Performs the / operation.

impl<const D: usize, const I: usize, const J: usize> Div<f64> for TensorRank2Vec<D, I, J>

type Output = TensorRank2Vec<D, I, J>

The resulting type after applying the / operator.

fn div(self, tensor_rank_0: TensorRank0) -> Self::Output

Performs the / operation.

impl<const D: usize, const I: usize, const J: usize> DivAssign<&f64> for TensorRank2Vec<D, I, J>

fn div_assign(&mut self, tensor_rank_0: &TensorRank0)

Performs the /= operation.

impl<const D: usize, const I: usize, const J: usize> DivAssign<f64> for TensorRank2Vec<D, I, J>

fn div_assign(&mut self, tensor_rank_0: TensorRank0)

Performs the /= operation.

impl<const D: usize, const I: usize, const J: usize> FromIterator<TensorRank2<D, I, J>> for TensorRank2Vec<D, I, J>

fn from_iter<Ii: IntoIterator<Item = TensorRank2<D, I, J>>>( into_iterator: Ii, ) -> Self

Creates a value from an iterator.

impl<const D: usize, const I: usize, const J: usize> FromIterator<TensorRank2Vec<D, I, J>> for TensorRank2Vec2D<D, I, J>

fn from_iter<Ii: IntoIterator<Item = TensorRank2Vec<D, I, J>>>( into_iterator: Ii, ) -> Self

Creates a value from an iterator.

impl<const D: usize, const I: usize, const J: usize> Index<usize> for TensorRank2Vec<D, I, J>

type Output = TensorRank2<D, I, J>

The returned type after indexing.

fn index(&self, index: usize) -> &Self::Output

Performs the indexing (container[index]) operation.

impl<const D: usize, const I: usize, const J: usize> IndexMut<usize> for TensorRank2Vec<D, I, J>

fn index_mut(&mut self, index: usize) -> &mut Self::Output

Performs the mutable indexing (container[index]) operation.

impl<const D: usize, const I: usize, const J: usize> Mul<&f64> for TensorRank2Vec<D, I, J>

type Output = TensorRank2Vec<D, I, J>

The resulting type after applying the * operator.

fn mul(self, tensor_rank_0: &TensorRank0) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize, const J: usize> Mul<f64> for TensorRank2Vec<D, I, J>

type Output = TensorRank2Vec<D, I, J>

The resulting type after applying the * operator.

fn mul(self, tensor_rank_0: TensorRank0) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize, const J: usize> MulAssign<&f64> for TensorRank2Vec<D, I, J>

fn mul_assign(&mut self, tensor_rank_0: &TensorRank0)

Performs the *= operation.

impl<const D: usize, const I: usize, const J: usize> MulAssign<f64> for TensorRank2Vec<D, I, J>

fn mul_assign(&mut self, tensor_rank_0: TensorRank0)

Performs the *= operation.

impl<const D: usize, const I: usize, const J: usize> Sub<&TensorRank2Vec<D, I, J>> for TensorRank2Vec<D, I, J>

type Output = TensorRank2Vec<D, I, J>

The resulting type after applying the - operator.

fn sub(self, tensor_rank_2_vec: &Self) -> Self::Output

Performs the - operation.

impl<const D: usize, const I: usize, const J: usize> Sub for TensorRank2Vec<D, I, J>

type Output = TensorRank2Vec<D, I, J>

The resulting type after applying the - operator.

fn sub(self, tensor_rank_2_vec: Self) -> Self::Output

Performs the - operation.

impl<const D: usize, const I: usize, const J: usize> SubAssign<&TensorRank2Vec<D, I, J>> for TensorRank2Vec<D, I, J>

fn sub_assign(&mut self, tensor_rank_2_vec: &Self)

Performs the -= operation.

impl<const D: usize, const I: usize, const J: usize> SubAssign for TensorRank2Vec<D, I, J>

fn sub_assign(&mut self, tensor_rank_2_vec: Self)

Performs the -= operation.

impl<const D: usize, const I: usize, const J: usize> Tensor for TensorRank2Vec<D, I, J>

type Item = TensorRank2<D, I, J>

The type of item encountered when iterating over the tensor.

fn iter(&self) -> impl Iterator<Item = &Self::Item>

Returns an iterator.

fn iter_mut(&mut self) -> impl Iterator<Item = &mut Self::Item>

Returns an iterator that allows modifying each value.

fn full_contraction(&self, tensor: &Self) -> TensorRank0

Returns the full contraction with another tensor.

fn get_at(&self, _indices: &[usize]) -> &TensorRank0

Returns a reference to the entry at the specified indices.

fn get_at_mut(&mut self, _indices: &[usize]) -> &mut TensorRank0

Returns a mutable reference to the entry at the specified indices.

fn is_zero(&self) -> bool

Checks whether the tensor is the zero tensor.

fn norm(&self) -> TensorRank0

Returns the tensor norm.

fn norm_squared(&self) -> TensorRank0

Returns the tensor norm squared.

fn normalize(&mut self)

Normalizes the tensor.

fn normalized(self) -> Self

Returns the tensor normalized.

impl<const D: usize, const I: usize, const J: usize> TensorVec for TensorRank2Vec<D, I, J>

type Item = TensorRank2<D, I, J>

The type of item encountered when iterating over the tensor.

type Slice<'a> = &'a [[[f64; D]; D]]

The type of slice corresponding to the tensor.

fn append(&mut self, other: &mut Self)

Moves all the items of other into self, leaving other empty.

fn is_empty(&self) -> bool

Returns true if the vector contains no items.

fn len(&self) -> usize

Returns the number of items in the vector, also referred to as its ‘length’.

fn new(slice: Self::Slice<'_>) -> Self

Returns a tensor given a slice.

fn push(&mut self, item: Self::Item)

Appends an item to the back of the Vec.

fn zero(len: usize) -> Self

Returns the zero tensor.