Struct TensorRank1

pub struct TensorRank1<const D: usize, const I: usize>(/* private fields */);

A d-dimensional tensor of rank 1.

D is the dimension, I is the configuration.

Implementations

impl<const D: usize, const I: usize> TensorRank1<D, I>

pub fn cross(&self, tensor_rank_1: &Self) -> Self

Returns the cross product with another rank-1 tensor.

Trait Implementations

impl<const D: usize, const I: usize> Add<&TensorRank1<D, I>> for TensorRank1<D, I>

type Output = TensorRank1<D, I>

The resulting type after applying the + operator.

fn add(self, tensor_rank_1: &Self) -> Self::Output

Performs the + operation.

impl<const D: usize, const I: usize> Add<TensorRank1<D, I>> for &TensorRank1<D, I>

type Output = TensorRank1<D, I>

The resulting type after applying the + operator.

fn add(self, tensor_rank_1: TensorRank1<D, I>) -> Self::Output

Performs the + operation.

impl<const D: usize, const I: usize> Add for TensorRank1<D, I>

type Output = TensorRank1<D, I>

The resulting type after applying the + operator.

fn add(self, tensor_rank_1: Self) -> Self::Output

Performs the + operation.

impl<const D: usize, const I: usize> AddAssign<&TensorRank1<D, I>> for TensorRank1<D, I>

fn add_assign(&mut self, tensor_rank_1: &Self)

Performs the += operation.

impl<const D: usize, const I: usize> AddAssign for TensorRank1<D, I>

fn add_assign(&mut self, tensor_rank_1: Self)

Performs the += operation.

impl<const D: usize, const I: usize> Clone for TensorRank1<D, I>

fn clone(&self) -> TensorRank1<D, I>

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, const K: usize, const L: usize> ContractSecondFourthIndicesWithFirstIndicesOf<&TensorRank1<D, J>, &TensorRank1<D, L>> for TensorRank4<D, I, J, K, L>

type Output = TensorRank2<D, I, K>

fn contract_second_fourth_indices_with_first_indices_of( &self, tensor_rank_1_a: &TensorRank1<D, J>, tensor_rank_1_b: &TensorRank1<D, L>, ) -> Self::Output

impl<const D: usize, const I: usize, const J: usize> Convert<TensorRank1<D, J>> for TensorRank1<D, I>

fn convert(&self) -> TensorRank1<D, J>

Converts this type into the (usually inferred) input type.

impl<const D: usize, const I: usize> Debug for TensorRank1<D, I>

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

Formats the value using the given formatter.

impl<const D: usize, const I: usize> Display for TensorRank1<D, I>

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

Formats the value using the given formatter.

impl<const D: usize, const I: usize> Div<&f64> for &TensorRank1<D, I>

type Output = TensorRank1<D, I>

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> Div<&f64> for TensorRank1<D, I>

type Output = TensorRank1<D, I>

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<TensorRank2<D, I, J>> for TensorRank1<D, I>

type Output = TensorRank1<D, J>

The resulting type after applying the / operator.

fn div(self, tensor_rank_2: TensorRank2<D, I, J>) -> Self::Output

Performs the / operation.

impl<const D: usize, const I: usize> Div<f64> for &TensorRank1<D, I>

type Output = TensorRank1<D, I>

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> Div<f64> for TensorRank1<D, I>

type Output = TensorRank1<D, I>

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> DivAssign<&f64> for TensorRank1<D, I>

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

Performs the /= operation.

impl<const D: usize, const I: usize> DivAssign<f64> for TensorRank1<D, I>

fn div_assign(&mut self, tensor_rank_0: TensorRank0)

Performs the /= operation.

impl<const D: usize, const I: usize, const J: usize> From<&TensorRank1<D, I>> for TensorRank1<D, J>

fn from(tensor_rank_1: &TensorRank1<D, I>) -> Self

Converts to this type from the input type.

impl<const D: usize, const I: usize, const W: usize> FromIterator<TensorRank1<D, I>> for TensorRank1List<D, I, W>

fn from_iter<Ii: IntoIterator<Item = TensorRank1<D, I>>>( into_iterator: Ii, ) -> Self

Creates a value from an iterator.

impl<const D: usize, const I: usize> FromIterator<TensorRank1<D, I>> for TensorRank1Vec<D, I>

fn from_iter<Ii: IntoIterator<Item = TensorRank1<D, I>>>( into_iterator: Ii, ) -> Self

Creates a value from an iterator.

impl<const D: usize, const I: usize, const J: usize> FromIterator<TensorRank1<D, J>> for TensorRank2<D, I, J>

fn from_iter<Ii: IntoIterator<Item = TensorRank1<D, J>>>( into_iterator: Ii, ) -> Self

Creates a value from an iterator.

impl<const D: usize, const I: usize> FromIterator<f64> for TensorRank1<D, I>

fn from_iter<Ii: IntoIterator<Item = TensorRank0>>(into_iterator: Ii) -> Self

Creates a value from an iterator.

impl<const D: usize, const I: usize> Index<usize> for TensorRank1<D, I>

type Output = f64

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> IndexMut<usize> for TensorRank1<D, I>

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

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

impl<const D: usize, const I: usize> Mul<&TensorRank1<D, I>> for TensorRank1<D, I>

type Output = f64

The resulting type after applying the * operator.

fn mul(self, tensor_rank_1: &Self) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize, const J: usize> Mul<&TensorRank1<D, J>> for &TensorRank2<D, I, J>

type Output = TensorRank1<D, I>

The resulting type after applying the * operator.

fn mul(self, tensor_rank_1: &TensorRank1<D, J>) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize, const J: usize> Mul<&TensorRank1<D, J>> for TensorRank2<D, I, J>

type Output = TensorRank1<D, I>

The resulting type after applying the * operator.

fn mul(self, tensor_rank_1: &TensorRank1<D, J>) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize> Mul<&f64> for &TensorRank1<D, I>

type Output = TensorRank1<D, I>

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> Mul<&f64> for TensorRank1<D, I>

type Output = TensorRank1<D, I>

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> Mul<TensorRank1<D, I>> for &TensorRank1<D, I>

type Output = f64

The resulting type after applying the * operator.

fn mul(self, tensor_rank_1: TensorRank1<D, I>) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize, const J: usize> Mul<TensorRank1<D, J>> for &TensorRank2<D, I, J>

type Output = TensorRank1<D, I>

The resulting type after applying the * operator.

fn mul(self, tensor_rank_1: TensorRank1<D, J>) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize, const J: usize> Mul<TensorRank1<D, J>> for TensorRank2<D, I, J>

type Output = TensorRank1<D, I>

The resulting type after applying the * operator.

fn mul(self, tensor_rank_1: TensorRank1<D, J>) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize> Mul<f64> for &TensorRank1<D, I>

type Output = TensorRank1<D, I>

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> Mul<f64> for TensorRank1<D, I>

type Output = TensorRank1<D, I>

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> Mul for &TensorRank1<D, I>

type Output = f64

The resulting type after applying the * operator.

fn mul(self, tensor_rank_1: Self) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize> Mul for TensorRank1<D, I>

type Output = f64

The resulting type after applying the * operator.

fn mul(self, tensor_rank_1: Self) -> Self::Output

Performs the * operation.

impl<const D: usize, const I: usize> MulAssign<&f64> for TensorRank1<D, I>

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

Performs the *= operation.

impl<const D: usize, const I: usize> MulAssign<f64> for TensorRank1<D, I>

fn mul_assign(&mut self, tensor_rank_0: TensorRank0)

Performs the *= operation.

impl<const D: usize, const I: usize> PartialEq for TensorRank1<D, I>

fn eq(&self, other: &Self) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<const D: usize, const I: usize> Sub<&TensorRank1<D, I>> for TensorRank1<D, I>

type Output = TensorRank1<D, I>

The resulting type after applying the - operator.

fn sub(self, tensor_rank_1: &Self) -> Self::Output

Performs the - operation.

impl<const D: usize, const I: usize> Sub<TensorRank1<D, I>> for &TensorRank1<D, I>

type Output = TensorRank1<D, I>

The resulting type after applying the - operator.

fn sub(self, tensor_rank_1: TensorRank1<D, I>) -> Self::Output

Performs the - operation.

impl<const D: usize, const I: usize> Sub for &TensorRank1<D, I>

type Output = TensorRank1<D, I>

The resulting type after applying the - operator.

fn sub(self, tensor_rank_1: Self) -> Self::Output

Performs the - operation.

impl<const D: usize, const I: usize> Sub for TensorRank1<D, I>

type Output = TensorRank1<D, I>

The resulting type after applying the - operator.

fn sub(self, tensor_rank_1: Self) -> Self::Output

Performs the - operation.

impl<const D: usize, const I: usize> SubAssign<&TensorRank1<D, I>> for TensorRank1<D, I>

fn sub_assign(&mut self, tensor_rank_1: &Self)

Performs the -= operation.

impl<const D: usize, const I: usize> SubAssign for TensorRank1<D, I>

fn sub_assign(&mut self, tensor_rank_1: Self)

Performs the -= operation.

impl<const D: usize, const I: usize> Sum for TensorRank1<D, I>

fn sum<Ii>(iter: Ii) -> Self

where Ii: Iterator<Item = Self>,

Takes an iterator and generates Self from the elements by “summing up” the items.

impl<const D: usize, const I: usize> Tensor for TensorRank1<D, I>

type Item = f64

The type of item encountered when iterating over the tensor.

fn full_contraction(&self, tensor_rank_1: &Self) -> TensorRank0

Returns the full contraction with another 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 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> TensorArray for TensorRank1<D, I>

type Array = [f64; D]

The type of array corresponding to the tensor.

type Item = f64

The type of item encountered when iterating over the tensor.

fn as_array(&self) -> Self::Array

Returns the tensor as an array.

fn identity() -> Self

Returns the identity tensor.

fn new(array: Self::Array) -> Self

Returns a tensor given an array.

fn zero() -> Self

Returns the zero tensor.