Struct nalgebra::base::EuclideanNorm [−][src]
pub struct EuclideanNorm;
Expand description
Euclidean norm.
Trait Implementations
Apply this norm to the given matrix.
fn metric_distance<R1, C1, S1, R2, C2, S2>(
&self,
m1: &Matrix<N, R1, C1, S1>,
m2: &Matrix<N, R2, C2, S2>
) -> N::SimdRealField where
R1: Dim,
C1: Dim,
S1: Storage<N, R1, C1>,
R2: Dim,
C2: Dim,
S2: Storage<N, R2, C2>,
ShapeConstraint: SameNumberOfRows<R1, R2> + SameNumberOfColumns<C1, C2>,
fn metric_distance<R1, C1, S1, R2, C2, S2>(
&self,
m1: &Matrix<N, R1, C1, S1>,
m2: &Matrix<N, R2, C2, S2>
) -> N::SimdRealField where
R1: Dim,
C1: Dim,
S1: Storage<N, R1, C1>,
R2: Dim,
C2: Dim,
S2: Storage<N, R2, C2>,
ShapeConstraint: SameNumberOfRows<R1, R2> + SameNumberOfColumns<C1, C2>,
Use the metric induced by this norm to compute the metric distance between the two given matrices.
Auto Trait Implementations
impl RefUnwindSafe for EuclideanNorm
impl Send for EuclideanNorm
impl Sync for EuclideanNorm
impl Unpin for EuclideanNorm
impl UnwindSafe for EuclideanNorm
Blanket Implementations
Mutably borrows from an owned value. Read more
The inverse inclusion map: attempts to construct self from the equivalent element of its
superset. Read more
Checks if self is actually part of its subset T (and can be converted to it).
Use with care! Same as self.to_subset but without any property checks. Always succeeds.
The inclusion map: converts self to the equivalent element of its superset.