pub struct EuclideanNorm;Expand description
Euclidean norm.
Trait Implementations§
source§impl Clone for EuclideanNorm
impl Clone for EuclideanNorm
source§fn clone(&self) -> EuclideanNorm
fn clone(&self) -> EuclideanNorm
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moresource§impl Debug for EuclideanNorm
impl Debug for EuclideanNorm
source§impl<T> Norm<T> for EuclideanNormwhere
T: SimdComplexField,
impl<T> Norm<T> for EuclideanNormwhere
T: SimdComplexField,
source§fn norm<R, C, S>(
&self,
m: &Matrix<T, R, C, S>,
) -> <T as SimdComplexField>::SimdRealField
fn norm<R, C, S>( &self, m: &Matrix<T, R, C, S>, ) -> <T as SimdComplexField>::SimdRealField
Apply this norm to the given matrix.
source§fn metric_distance<R1, C1, S1, R2, C2, S2>(
&self,
m1: &Matrix<T, R1, C1, S1>,
m2: &Matrix<T, R2, C2, S2>,
) -> <T as SimdComplexField>::SimdRealFieldwhere
R1: Dim,
C1: Dim,
S1: Storage<T, R1, C1>,
R2: Dim,
C2: Dim,
S2: Storage<T, R2, C2>,
ShapeConstraint: SameNumberOfRows<R1, R2> + SameNumberOfColumns<C1, C2>,
fn metric_distance<R1, C1, S1, R2, C2, S2>(
&self,
m1: &Matrix<T, R1, C1, S1>,
m2: &Matrix<T, R2, C2, S2>,
) -> <T as SimdComplexField>::SimdRealFieldwhere
R1: Dim,
C1: Dim,
S1: Storage<T, R1, C1>,
R2: Dim,
C2: Dim,
S2: Storage<T, 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.
impl Copy for EuclideanNorm
Auto Trait Implementations§
impl Freeze for EuclideanNorm
impl RefUnwindSafe for EuclideanNorm
impl Send for EuclideanNorm
impl Sync for EuclideanNorm
impl Unpin for EuclideanNorm
impl UnwindSafe for EuclideanNorm
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