Trait ndarray::linalg::Dot [−][src]
Expand description
Matrix Multiplication
For two-dimensional arrays, the dot method computes the matrix multiplication.
Associated Types
type Output
[src]
Expand description
The result of the operation.
For two-dimensional arrays: a rectangular array.
Required methods
Implementors
impl<A, S, S2> Dot<ArrayBase<S2, Dim<[usize; 1]>>> for ArrayBase<S, Ix1> where
S: Data<Elem = A>,
S2: Data<Elem = A>,
A: LinalgScalar,
[src]
impl<A, S, S2> Dot<ArrayBase<S2, Dim<[usize; 1]>>> for ArrayBase<S, Ix1> where
S: Data<Elem = A>,
S2: Data<Elem = A>,
A: LinalgScalar,
[src]fn dot(&self, rhs: &ArrayBase<S2, Ix1>) -> A
[src]
fn dot(&self, rhs: &ArrayBase<S2, Ix1>) -> A
[src]Compute the dot product of one-dimensional arrays.
The dot product is a sum of the elementwise products (no conjugation of complex operands, and thus not their inner product).
Panics if the arrays are not of the same length.
Note: If enabled, uses blas dot
for elements of f32, f64
when memory
layout allows.
type Output = A
impl<A, S, S2> Dot<ArrayBase<S2, Dim<[usize; 1]>>> for ArrayBase<S, Ix2> where
S: Data<Elem = A>,
S2: Data<Elem = A>,
A: LinalgScalar,
[src]
impl<A, S, S2> Dot<ArrayBase<S2, Dim<[usize; 1]>>> for ArrayBase<S, Ix2> where
S: Data<Elem = A>,
S2: Data<Elem = A>,
A: LinalgScalar,
[src]Perform the matrix multiplication of the rectangular array self
and
column vector rhs
.
The array shapes must agree in the way that
if self
is M × N, then rhs
is N.
Return a result array with shape M.
Panics if shapes are incompatible.
impl<A, S, S2> Dot<ArrayBase<S2, Dim<[usize; 2]>>> for ArrayBase<S, Ix1> where
S: Data<Elem = A>,
S2: Data<Elem = A>,
A: LinalgScalar,
[src]
impl<A, S, S2> Dot<ArrayBase<S2, Dim<[usize; 2]>>> for ArrayBase<S, Ix1> where
S: Data<Elem = A>,
S2: Data<Elem = A>,
A: LinalgScalar,
[src]