Struct Vector

pub struct Vector(/* private fields */);

A vector.

Implementations

impl Vector

pub fn ones(len: usize) -> Self

Trait Implementations

impl Add<&Vector> for Vector

type Output = Vector

The resulting type after applying the + operator.

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

Performs the + operation.

impl Add for Vector

type Output = Vector

The resulting type after applying the + operator.

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

Performs the + operation.

impl AddAssign<&Vector> for Vector

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

Performs the += operation.

impl AddAssign for Vector

fn add_assign(&mut self, vector: Self)

Performs the += operation.

impl Clone for Vector

fn clone(&self) -> Vector

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Vector

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

Formats the value using the given formatter.

impl Display for Vector

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

Formats the value using the given formatter.

impl Div<&f64> for Vector

type Output = Vector

The resulting type after applying the / operator.

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

Performs the / operation.

impl Div<f64> for Vector

type Output = Vector

The resulting type after applying the / operator.

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

Performs the / operation.

impl DivAssign<&f64> for Vector

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

Performs the /= operation.

impl DivAssign<f64> for Vector

fn div_assign(&mut self, tensor_rank_0: TensorRank0)

Performs the /= operation.

impl<const D: usize, const I: usize> From<&Vector> for TensorRank1Vec<D, I>

fn from(vector: &Vector) -> Self

Converts to this type from the input type.

impl<const D: usize, const I: usize> From<TensorRank1Vec<D, I>> for Vector

fn from(tensor_rank_1_vec: TensorRank1Vec<D, I>) -> Self

Converts to this type from the input type.

impl<const D: usize, const I: usize, const J: usize> From<TensorRank2<D, I, J>> for Vector

fn from(tensor_rank_2: TensorRank2<D, I, J>) -> Self

Converts to this type from the input type.

impl<const D: usize, const I: usize, const J: usize, const K: usize, const L: usize> From<TensorRank4<D, I, J, K, L>> for Vector

fn from(tensor_rank_4: TensorRank4<D, I, J, K, L>) -> Self

Converts to this type from the input type.

impl<const D: usize, const I: usize> From<Vector> for TensorRank1Vec<D, I>

fn from(vector: Vector) -> Self

Converts to this type from the input type.

impl From<f64> for Vector

fn from(tensor_rank_0: TensorRank0) -> Self

Converts to this type from the input type.

impl FromIterator<Vector> for Matrix

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

Creates a value from an iterator.

impl FromIterator<Vector> for SquareMatrix

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

Creates a value from an iterator.

impl FromIterator<f64> for Vector

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

Creates a value from an iterator.

impl Index<RangeFrom<usize>> for Vector

type Output = [f64]

The returned type after indexing.

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

Performs the indexing (container[index]) operation.

impl Index<RangeTo<usize>> for Vector

type Output = [f64]

The returned type after indexing.

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

Performs the indexing (container[index]) operation.

impl Index<usize> for Vector

type Output = f64

The returned type after indexing.

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

Performs the indexing (container[index]) operation.

impl IndexMut<usize> for Vector

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

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

impl IntoIterator for Vector

type Item = f64

The type of the elements being iterated over.

type IntoIter = IntoIter<<Vector as IntoIterator>::Item>

Which kind of iterator are we turning this into?

fn into_iter(self) -> Self::IntoIter

Creates an iterator from a value.

impl Jacobian for Vector

fn fill_into(self, vector: &mut Vector)

Fills the Jacobian into a vector.

fn fill_into_chained(self, other: Self, vector: &mut Self)

Fills the Jacobian chained with a vector into another vector.

impl Mul<&Matrix> for &Vector

type Output = Vector

The resulting type after applying the * operator.

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

Performs the * operation.

impl<const D: usize, const I: usize> Mul<&TensorRank1Vec<D, I>> for &Vector

type Output = f64

The resulting type after applying the * operator.

fn mul(self, tensor_rank_1_vec: &TensorRank1Vec<D, I>) -> Self::Output

Performs the * operation.

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

type Output = f64

The resulting type after applying the * operator.

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

Performs the * operation.

impl Mul<&Vector> for &Matrix

type Output = Vector

The resulting type after applying the * operator.

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

Performs the * operation.

impl Mul<&Vector> for SquareMatrix

type Output = Vector

The resulting type after applying the * operator.

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

Performs the * operation.

impl Mul<&Vector> for Vector

type Output = f64

The resulting type after applying the * operator.

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

Performs the * operation.

impl Mul<&f64> for &Vector

type Output = Vector

The resulting type after applying the * operator.

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

Performs the * operation.

impl Mul<&f64> for Vector

type Output = Vector

The resulting type after applying the * operator.

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

Performs the * operation.

impl Mul<Vector> for &Matrix

type Output = Vector

The resulting type after applying the * operator.

fn mul(self, vector: Vector) -> Self::Output

Performs the * operation.

impl Mul<Vector> for SquareMatrix

type Output = Vector

The resulting type after applying the * operator.

fn mul(self, vector: Vector) -> Self::Output

Performs the * operation.

impl Mul<f64> for Vector

type Output = Vector

The resulting type after applying the * operator.

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

Performs the * operation.

impl Mul for &Vector

type Output = f64

The resulting type after applying the * operator.

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

Performs the * operation.

impl Mul for Vector

type Output = f64

The resulting type after applying the * operator.

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

Performs the * operation.

impl MulAssign<&f64> for Vector

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

Performs the *= operation.

impl MulAssign<f64> for Vector

fn mul_assign(&mut self, tensor_rank_0: TensorRank0)

Performs the *= operation.

impl PartialEq for Vector

fn eq(&self, other: &Vector) -> 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 Solution for Vector

fn decrement_from_chained(&mut self, other: &mut Self, vector: Vector)

Decrements the solution chained with a vector from another vector.

impl Sub<&Vector> for Vector

type Output = Vector

The resulting type after applying the - operator.

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

Performs the - operation.

impl Sub<Vector> for &Vector

type Output = Vector

The resulting type after applying the - operator.

fn sub(self, vector: Vector) -> Self::Output

Performs the - operation.

impl<const D: usize, const I: usize> Sub<Vector> for TensorRank1Vec<D, I>

type Output = TensorRank1Vec<D, I>

The resulting type after applying the - operator.

fn sub(self, vector: Vector) -> Self::Output

Performs the - operation.

impl<const D: usize, const I: usize, const J: usize> Sub<Vector> for TensorRank2<D, I, J>

type Output = TensorRank2<D, I, J>

The resulting type after applying the - operator.

fn sub(self, vector: Vector) -> Self::Output

Performs the - operation.

impl Sub<Vector> for TensorRank0

type Output = f64

The resulting type after applying the - operator.

fn sub(self, _vector: Vector) -> Self::Output

Performs the - operation.

impl Sub for Vector

type Output = Vector

The resulting type after applying the - operator.

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

Performs the - operation.

impl SubAssign<&[f64]> for Vector

fn sub_assign(&mut self, slice: &[TensorRank0])

Performs the -= operation.

impl SubAssign<&Vector> for Vector

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

Performs the -= operation.

impl SubAssign for Vector

fn sub_assign(&mut self, vector: Self)

Performs the -= operation.

impl Tensor for Vector

type Item = f64

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.

fn num_entries(&self) -> usize

Returns the total number of entries.

impl TensorVec for Vector

type Item = f64

The type of item encountered when iterating over the tensor.

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

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.

impl StructuralPartialEq for Vector